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https://pdimagearchive.org/images/a83c3caa-4328-4bb2-9e97-0643980de4a0	‘The Dream of M. Arséne Des Marettes’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Dream of M. Arséne Des Marettes Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 1400 x 926 Download Image Styles Book Illustration Themes Fantasy & Dream Technology The Future Tags dreaming costumes future chairs cities retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
https://pdimagearchive.org/images/e02ab443-90c5-42e3-a19f-f4e8b34f759d	‘The Automatic Library’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Automatic Library Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 637 x 717 Higher res available? Download Image Themes Technology The Future Tags inventions retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
https://pdimagearchive.org/images/7e93b9b1-f771-4bc8-acf5-47da07ae64ca	‘Editorial Rooms of the Phonographic Journal of the Future (Dictating News Cylinders)’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… Editorial Rooms of the Phonographic Journal of the Future (Dictating News Cylinders) Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 1327 x 958 Higher res available? Download Image Themes Technology The Future Tags professional phonographs arches offices sound inventions retrofuturism rooms The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
https://pdimagearchive.org/images/c0cb18fc-4e6a-469b-b5a2-d7f29d554e49	‘Impending Maladies of the Ear’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… Impending Maladies of the Ear Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 864 x 552 Higher res available? Download Image Themes Technology The Future Tags hearing ears inventions retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
https://ai.google.dev/api/models?hl=de	Models  \|  Gemini API  \|  Google AI for Developers Zum Hauptinhalt springen / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 API-Schlüssel abrufen Kochbuch Community Anmelden Dokumentation API-Referenz Gemini API Dokumentation API-Referenz API-Schlüssel abrufen Kochbuch Community Übersicht API-Versionen Leistungsspektrum Modelle Inhalte werden generiert Live-API Live Music API Interactions API Tokens Dateien Batch API Caching Einbettungen Dateisuche Dateisuchspeicher Dokument Alle Methoden Eingestellt PaLM (außer Betrieb genommen) SDK-Referenzen Python Go TypeScript Java C# Startseite Gemini API API-Referenz Feedback geben Models Über den Modelle-Endpunkt können Sie die verfügbaren Modelle programmgesteuert auflisten und erweiterte Metadaten wie unterstützte Funktionen und die Größe des Kontextfensters abrufen. Weitere Informationen Methode: models.get Endpunkt Pfadparameter Anfragetext Antworttext Autorisierungsbereiche Beispielanfrage Abrufen Ruft Informationen zu einem bestimmten Model ab, z. B. die Versionsnummer, Tokenlimits, Parameter und andere Metadaten. Ausführliche Informationen zu den Modellen finden Sie im Leitfaden zu Gemini-Modellen . Endpunkt get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} > > Pfadparameter name string Erforderlich. Der Ressourcenname des Modells. Dieser Name sollte mit einem Modellnamen übereinstimmen, der von der Methode models.list zurückgegeben wird. Format: models/{model} Sie nimmt die Form models/{model} an. Anfragetext Der Anfragetext muss leer sein. Beispielanfrage Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Ok ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go Muschel curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh Antworttext Wenn der Vorgang erfolgreich abgeschlossen wurde, enthält der Antworttext eine Instanz von Model . Methode: models.list Endpunkt Anfrageparameter Anfragetext Antworttext JSON-Darstellung Autorisierungsbereiche Beispielanfrage Liste Listet die Model s auf, die über die Gemini API verfügbar sind. Endpunkt get https: / /generativelanguage.googleapis.com /v1beta /models > > Abfrageparameter pageSize integer Die maximale Anzahl von Models , die (pro Seite) zurückgegeben werden sollen. Wenn nicht angegeben, werden 50 Modelle pro Seite zurückgegeben. Diese Methode gibt maximal 1.000 Modelle pro Seite zurück, auch wenn Sie einen größeren Wert für „pageSize“ übergeben. pageToken string Ein Seitentoken, das von einem vorherigen models.list -Aufruf empfangen wurde. Geben Sie das von einer Anfrage zurückgegebene pageToken als Argument für die nächste Anfrage an, um die nächste Seite abzurufen. Beim Paginieren müssen alle anderen für models.list bereitgestellten Parameter mit dem Aufruf übereinstimmen, der das Seitentoken bereitgestellt hat. Anfragetext Der Anfragetext muss leer sein. Beispielanfrage Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Ok ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go Muschel curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh Antworttext Antwort von ListModel mit einer paginierten Liste von Modellen. Bei Erfolg enthält der Antworttext Daten mit der folgenden Struktur: Felder models[] object ( Model ) Die zurückgegebenen Modelle. nextPageToken string Ein Token, das als pageToken gesendet werden kann, um die nächste Seite abzurufen. Wenn dieses Feld weggelassen wird, gibt es keine weiteren Seiten. JSON-Darstellung { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } REST-Ressource: models Ressource: Modell JSON-Darstellung Methoden Ressource: Modell Informationen zu einem generativen Sprachmodell. Felder name string Erforderlich. Der Ressourcenname der Model . Alle zulässigen Werte finden Sie unter Modellvarianten . Format: models/{model} mit der Namenskonvention {model} : "{baseModelId}-{version}" Beispiele: models/gemini-1.5-flash-001 baseModelId string Erforderlich. Der Name des Basismodells, der an die Generierungsanfrage übergeben wird. Beispiele: gemini-1.5-flash version string Erforderlich. Die Versionsnummer des Modells. Dies stellt die Hauptversion ( 1.0 oder 1.5 ) dar. displayName string Der für Menschen lesbare Name des Modells. Beispiel: „Gemini 1.5 Flash“. Der Name kann bis zu 128 Zeichen lang sein und aus beliebigen UTF-8-Zeichen bestehen. description string Eine kurze Beschreibung des Modells. inputTokenLimit integer Maximale Anzahl von Eingabetokens, die für dieses Modell zulässig sind. outputTokenLimit integer Maximale Anzahl von Ausgabetokens, die für dieses Modell verfügbar sind. supportedGenerationMethods[] string Die vom Modell unterstützten Generierungsmethoden. Die entsprechenden API-Methodennamen werden als Pascal-Case-Strings definiert, z. B. generateMessage und generateContent . thinking boolean Gibt an, ob das Modell das Denken unterstützt. temperature number Steuert die Zufälligkeit der Ausgabe. Die Werte können bis zu [0.0,maxTemperature] betragen. Ein höherer Wert führt zu vielfältigeren Antworten, während ein Wert, der näher an 0.0 liegt, in der Regel zu weniger überraschenden Antworten des Modells führt. Dieser Wert gibt den Standard an, der vom Backend beim Aufrufen des Modells verwendet werden soll. maxTemperature number Die maximale Temperatur, die dieses Modell verwenden kann. topP number Für Nucleus Sampling . Beim Nucleus-Sampling wird die kleinste Menge von Tokens berücksichtigt, deren Wahrscheinlichkeitssumme mindestens topP beträgt. Dieser Wert gibt den Standard an, der vom Backend beim Aufrufen des Modells verwendet werden soll. topK integer Für die Top-K-Stichprobenerhebung. Beim Top-K-Sampling wird die Menge der topK wahrscheinlichsten Tokens berücksichtigt. Dieser Wert gibt den Standard an, der vom Backend beim Aufrufen des Modells verwendet werden soll. Wenn leer, gibt dies an, dass das Modell kein Top-k-Sampling verwendet und topK nicht als Generierungsparameter zulässig ist. JSON-Darstellung { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } Methode: models.predict Endpunkt Pfadparameter Anfragetext JSON-Darstellung Antworttext JSON-Darstellung Autorisierungsbereiche Führt eine Vorhersageanfrage aus. Endpunkt post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict > > > > Pfadparameter model string Erforderlich. Der Name des Modells für die Vorhersage. Format: name=models/{model} . Sie hat die Form models/{model} . Anfragetext Der Anfragetext enthält Daten mit folgender Struktur: Felder instances[] value ( Value format) Erforderlich. Die Instanzen, die die Eingabe für den Vorhersageaufruf sind. parameters value ( Value format) Optional. Die Parameter, die den Vorhersageaufruf steuern. Antworttext Antwortnachricht für [PredictionService.Predict]. Bei Erfolg enthält der Antworttext Daten mit der folgenden Struktur: Felder predictions[] value ( Value format) Die Ausgaben des Vorhersageaufrufs. JSON-Darstellung { "predictions" : [ value ] } Methode: models.predictLongRunning Endpunkt Pfadparameter Anfragetext JSON-Darstellung Antworttext Autorisierungsbereiche Identisch mit „models.predict“, gibt aber einen LRO zurück. Endpunkt post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning > > > > Pfadparameter model string Erforderlich. Der Name des Modells für die Vorhersage. Format: name=models/{model} . Anfragetext Der Anfragetext enthält Daten mit folgender Struktur: Felder instances[] value ( Value format) Erforderlich. Die Instanzen, die die Eingabe für den Vorhersageaufruf sind. parameters value ( Value format) Optional. Die Parameter, die den Vorhersageaufruf steuern. Antworttext Wenn der Vorgang erfolgreich abgeschlossen wurde, enthält der Antworttext eine Instanz von Operation . Feedback geben Sofern nicht anders angegeben, sind die Inhalte dieser Seite unter der Creative Commons Attribution 4.0 License und Codebeispiele unter der Apache 2.0 License lizenziert. Weitere Informationen finden Sie in den Websiterichtlinien von Google Developers . Java ist eine eingetragene Marke von Oracle und/oder seinen Partnern. Zuletzt aktualisiert: 2025-12-16 (UTC). Haben Sie Feedback für uns? 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https://pdimagearchive.org/images/ef815cfd-8784-462e-bf9b-f92d3acdf460	‘The Author Making Cylinders of His Own Works’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Author Making Cylinders of His Own Works Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 1296 x 782 Higher res available? Download Image Themes Technology The Future Tags desks cylinders recording furniture windows inventions retrofuturism rooms The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
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https://ai.google.dev/api/models?hl=es-419	Models  \|  Gemini API  \|  Google AI for Developers Ir al contenido principal / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 Cómo obtener una clave de API Guía de soluciones Comunidad Acceder Documentos Referencia de la API Gemini API Documentos Referencia de la API Cómo obtener una clave de API Guía de soluciones Comunidad Descripción general Versiones de API Funciones Modelos Generar contenido API en vivo API de Live Music API de Interactions Tokens Archivos API de Batch Almacenamiento en caché Embeddings Búsqueda de archivos Almacenes de búsqueda de archivos Documento Todos los métodos Baja PaLM (desmantelado) Referencias del SDK Python Go TypeScript Java C# Página principal Gemini API Referencia de la API Enviar comentarios Models El extremo de modelos te permite enumerar de forma programática los modelos disponibles y recuperar metadatos extendidos, como la funcionalidad admitida y el tamaño de la ventana de contexto. Obtén más información en la guía de Modelos . Método: models.get Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Cuerpo de la respuesta Permisos de autorización Ejemplo de solicitud Obtener Obtiene información sobre un Model específico, como su número de versión, límites de tokens, parámetros y otros metadatos. Consulta la guía de los modelos de Gemini para obtener información detallada sobre los modelos. Extremo get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} Parámetros de ruta name string Obligatorio. Es el nombre del recurso del modelo. Este nombre debe coincidir con un nombre de modelo que muestre el método models.list . Formato: models/{model} Toma la forma models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud debe estar vacío. Ejemplo de solicitud Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go Almeja curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh Cuerpo de la respuesta Si se ejecuta de forma correcta, el cuerpo de la respuesta incluye una instancia de Model . Método: models.list Extremo Parámetros de consulta Cuerpo de la solicitud Cuerpo de la respuesta Representación JSON Permisos de autorización Ejemplo de solicitud Lista Enumera los Model s disponibles a través de la API de Gemini. Extremo get https: / /generativelanguage.googleapis.com /v1beta /models Parámetros de consulta pageSize integer Es la cantidad máxima de Models que se devolverán (por página). Si no se especifica, se devolverán 50 modelos por página. Este método devuelve un máximo de 1,000 modelos por página, incluso si pasas un valor de pageSize más grande. pageToken string Un token de página, recibido desde una llamada models.list anterior. Proporciona el pageToken que mostró una solicitud como argumento para la siguiente solicitud y, así, recuperar la página siguiente. Cuando se pagina, todos los demás parámetros proporcionados a models.list deben coincidir con la llamada que proporcionó el token de la página. Cuerpo de la solicitud El cuerpo de la solicitud debe estar vacío. Ejemplo de solicitud Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go Almeja curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh Cuerpo de la respuesta Respuesta de ListModel que contiene una lista paginada de modelos. Si se ejecuta correctamente, el cuerpo de la respuesta contendrá datos con la siguiente estructura: Campos models[] object ( Model ) Son los modelos devueltos. nextPageToken string Un token, que se puede enviar como pageToken para recuperar la página siguiente. Si se omite este campo, no habrá más páginas. Representación JSON { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } Recurso de REST: models Recurso: Modelo Representación JSON Métodos Recurso: Modelo Es información sobre un modelo de lenguaje generativo. Campos name string Obligatorio. Es el nombre del recurso Model . Consulta Variantes del modelo para ver todos los valores permitidos. Formato: models/{model} con una convención de nomenclatura {model} de la siguiente manera: "{baseModelId}-{version}" Ejemplos: models/gemini-1.5-flash-001 baseModelId string Obligatorio. Nombre del modelo base. Pasa este valor a la solicitud de generación. Ejemplos: gemini-1.5-flash version string Obligatorio. Es el número de versión del modelo. Representa la versión principal ( 1.0 o 1.5 ). displayName string Es el nombre del modelo legible por humanos. P.ej., "Gemini 1.5 Flash". El nombre puede tener hasta 128 caracteres y puede constar de caracteres UTF-8. description string Es una breve descripción del modelo. inputTokenLimit integer Es la cantidad máxima de tokens de entrada permitidos para este modelo. outputTokenLimit integer Es la cantidad máxima de tokens de salida disponibles para este modelo. supportedGenerationMethods[] string Son los métodos de generación compatibles con el modelo. Los nombres de los métodos de la API correspondientes se definen como cadenas con mayúsculas en la primera letra de cada palabra, como generateMessage y generateContent . thinking boolean Indica si el modelo admite el pensamiento. temperature number Controla la aleatoriedad del resultado. Los valores pueden oscilar entre [0.0,maxTemperature] , inclusive. Un valor más alto producirá respuestas más variadas, mientras que un valor más cercano a 0.0 generalmente generará respuestas menos sorprendentes del modelo. Este valor especifica el valor predeterminado que usará el backend cuando llame al modelo. maxTemperature number Es la temperatura máxima que puede usar este modelo. topP number Para el muestreo de núcleo . El muestreo de núcleo considera el conjunto más pequeño de tokens cuya suma de probabilidades es al menos topP . Este valor especifica el valor predeterminado que usará el backend cuando llame al modelo. topK integer Es para el muestreo de Top-k. El muestreo de Top-k considera el conjunto de los tokens más probables de topK . Este valor especifica el valor predeterminado que usará el backend cuando llame al modelo. Si está vacío, indica que el modelo no usa el muestreo de Top-K y que topK no se permite como parámetro de generación. Representación JSON { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } Método: models.predict Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Representación JSON Permisos de autorización Realiza una solicitud de predicción. Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict Parámetros de ruta model string Obligatorio. Nombre del modelo para la predicción. Formato: name=models/{model} . Toma la forma models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos instances[] value ( Value format) Obligatorio. Son las instancias que se ingresan en la llamada de predicción. parameters value ( Value format) Opcional. Son los parámetros que rigen la llamada de predicción. Cuerpo de la respuesta Es el mensaje de respuesta para [PredictionService.Predict]. Si se ejecuta correctamente, el cuerpo de la respuesta contendrá datos con la siguiente estructura: Campos predictions[] value ( Value format) Son los resultados de la llamada de predicción. Representación JSON { "predictions" : [ value ] } Método: models.predictLongRunning Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Permisos de autorización Es igual que models.predict, pero devuelve una LRO. Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning Parámetros de ruta model string Obligatorio. Nombre del modelo para la predicción. Formato: name=models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos instances[] value ( Value format) Obligatorio. Son las instancias que se ingresan en la llamada de predicción. parameters value ( Value format) Opcional. Son los parámetros que rigen la llamada de predicción. Cuerpo de la respuesta Si se ejecuta de forma correcta, el cuerpo de la respuesta incluye una instancia de Operation . Enviar comentarios Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons , y los ejemplos de código están sujetos a la licencia Apache 2.0 . Para obtener más información, consulta las políticas del sitio de Google Developers . Java es una marca registrada de Oracle o sus afiliados. Última actualización: 2025-12-16 (UTC) ¿Quieres brindar más información? 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https://www.notion.com/ar/integrations/github	تكاملات GitHub\| اربط تطبيقاتك مع Notion Notion الميزات Notion AI إنشاء، كتابة، أتمتة الوكلاء يتعامل مع المهام اليدوية بحث المؤسسة اعثر على إجابات على الفور ملاحظات الاجتماع المدعومة بالذكاء الاصطناعي مكتوبة بشكل مثالي بواسطة الذكاء الاصطناعي المُستندات بسيط وقوي قاعدة المعرفة تجميع معرفتك في مكان واحد المشاريع إدارة أي مشروع المواقع انشر أي شيء بسرعة البدء استكشاف حالات استخدام الذكاء الاصطناعي تعرّف على قدرات Notion AI تصفح السوق قوالب لكل شيء عرض عمليات التكامل ربط تطبيقاتك مع Notion تنزيل web clipper حفظ من الويب إلى Notion جرّب تطبيق Notion لسطح المكتب للحصول على تجربة أسرع تنزيل التطبيق البريد التقويم الذكاء الاصطناعي الخطة المؤسسية التسعير استكشاف الفرق الهندسة والمنتج التصميم التسويق تقنية المعلومات حجم الفريق الشركات الناشئة الشركات الصغيرة والمتوسطة المؤسسة التعليم التعلم مركز المساعدة أكاديمية Notion قصص العملاء المدونة المجتمع برامج الشركاء الإصدار واجهة برمجة التطبيقات (API) القوالب الأمان الاستشاريون اطلب عرضاً توضيحياً تسجيل الدخول احصل على Notion مجاناً ← عمليات التكامل GitHub إضافة إلى Notion Overview GitHub helps development teams and companies build, ship, and maintain their software. Use the power of Notion with GitHub to connect your workflows and help your teams collaborate in one place. Bring GitHub pull requests and issues directly into Notion with link previews. Use a synced database to bring full GitHub repositories into Notion as databases – and use database filters, views, rollups, and relations to create custom views for every team. Create GitHub Pull Request property inside your Notion databases to enable automatic updates of your tasks in Notion and help everyone stay on the same page. How to use To create a preview of GitHub content in Notion , paste any GitHub link into Notion, then select Paste as preview . You can also type /github in any Notion page and a menu will appear, allowing you to paste links directly To sync data from your GitHub repository into a Notion database , copy a GitHub link, paste it into Notion and select Paste as database . A new Notion database will appear, with all GitHub properties automatically added To link your GitHub pull requests to items in your Notion database , just add add a new property to your database using the + button at the top right and select GitHub Pull Requests . The integration will automatically update the status of your tasks in Notion based on the GitHub pull request status Learn more about Notion's GitHub integration مُعدّ بواسطة Notion الفئة Engineering الميزات معاينة الرابط قاعدة البيانات المتزامنة روابط المُطوِّر الموقع الإلكتروني الشروط / الخصوصية الدعم عبر البريد الإلكتروني الإبلاغ عن مشكلة جميع العلامات التجارية لأطراف ثالثة (بما في ذلك الشعارات والأيقونات) المشار إليها هنا هي ملك لأصحابها المعنيين. ما لم يُذكر صراحةً على أنه من صنع Notion، فإن التكاملات غير مدعومة أو مُدارة من قبل Notion. المنتجات أو الخدمات التابعة لأطراف ثالثة التي تتصل بها التكاملات تعتبر تطبيقات غير تابعة لـ Notion (كما هو محدد في اتفاقية الاشتراك الرئيسية لـ Notion أو شروط الاستخدام الشخصية ، حسب الاقتضاء). من خلال تفعيل أي تكامل أو استخدام معرض تكاملات Notion، فإنك توافق على شروط معرض التكاملات الخاصة بـ Notion . المزيد من عمليات التكامل PortalWith Create Client Portal with Notion STR Desk Sync Vacation Rental data with Notion in seconds VECTOR AI Your AI Partner Emon Sync Outlook Emails to Notion Notixel Automate your data flow between Notion and Microsoft Excel. neuforms the most affordable typeform alternative to build forms العربية إعدادات ملفات تعريف الارتباط © 2026 Notion Labs, Inc. الشركة نبذة عنا الوظائف الأمان الحالة الشروط والخصوصية حقوقك المتعلقة بالخصوصية تنزيل iOS وAndroid Mac وWindows التقويم Web Clipper الموارد مركز المساعدة التسعير المدونة المجتمع عمليات التكامل القوالب برامج الشركاء Notion لأجل الخطة المؤسسية الشركات الصغيرة شخصي استكشف المزيد →	2026-01-13T09:29:49
https://www.cisco.com/c/nl_be/solutions/index.html	Oplossingen - Cisco Skip to Main Content Ga naar zoeken Skip to Footer Cisco.com België en Luxemburg Producten en services Oplossingen Ondersteuning Leren Ontdek Cisco Kopen Startpagina voor partners Nieuw partnerprogramma Ondersteuning Tools Zoek een Cisco-partner Ontmoet onze partners Word Cisco-partner Oplossingen Van networking en datacenters tot samenwerking en security: wij hebben IT-oplossingen om aan de behoeften van uw organisatie te voldoen. Ontdek hoe we kunnen helpen. Contact Cisco Wordt teruggebeld Bel Sales: 0800 94242 Technische ondersteuning Oplossingen op technologie Analyses en automatisering Kunstmatige intelligentie Cloud Samenwerking Essentiële netwerkinfrastructuur Datacenter Intent-Based Networking Internet of Things Draadloos en mobiliteit Netwerkarchitectuur: Cisco DNA Security Software Door software gedefinieerde networking Producten – Index Design Zone: Cisco-ontwerphandleidingen Oplossingen op bedrijfstype Kleine en middelgrote bedrijven Serviceproviders Oplossingen op bedrijfstak Steden en gemeenschappen Onderwijs Energie Financiële dienstverlening Overheid Gezondheidszorg Verzekeringen Productie Olie en gas Detailhandel Sport en entertainment Transport Energie-/nutsbedrijven Cisco over Cisco: Onze IT-verhalen delen Door het delen van Cisco’s eigen IT-ervaring kan Cisco over Cisco klanten en partners helpen om technologie te gebruiken voor het behalen van bedrijfsresultaten. Neem een kijkje achter de schermen bij Cisco IT. Leer hoe we organisaties helpen bij de transformatie door technologie.  Zie hoe we het doen Cisco Co-Innovation Centers Cisco Co-Innovation Centers werken met regionale en wereldwijde partners om nieuwe technologische oplossingen te creëren, pijnpunten in de branche op te lossen en een bijdrage te leveren aan het bedrijfsleven, de samenleving en de planeet. Bekijk de oplossingen Cisco-partners maken het verschil Profiteer van deskundige begeleiding voor, tijdens en na uw implementatie van technologie. Zet de eerste stap Met ons ecosysteem van vertrouwde partners kunt u uw digitale transformatie realiseren. Bekijk internationale partners Bedrijven ondersteunen bij het behalen van hun doelen is op zich al een beloning. We bieden dat en meer. Word partner Door ons wordt MKB-partnermarketing eenvoudig. Stimuleer vraag vanuit het MKB (aanmelden vereist) Contact sales Gratis proefversies, demo's en aanbiedingen Services	2026-01-13T09:29:49
https://cursor.com/zh-Hant/careers/software-engineer-growth#apply	Software Engineer, Growth - Cursor · Cursor 跳至內容 Cursor 功能企業定價資源 ↓ 更新日誌部落格文件 ↗ 社群學習 ↗ 工作坊論壇 ↗ 職涯機會功能企業定價資源 → 登入下載 Careers Software Engineer, Growth Engineering · Full-time · SF / NY Apply ↓ Role As a Product Engineer on the Growth team at Cursor, you'll design and implement systems and features related to Onboarding, Monetization, and the core product experience. You might be a fit if... You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use. About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries. Applying If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. Apply for this role Name * Email * Resume ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Submit application → 產品功能企業 Web Agents Bugbot CLI 定價資源下載更新日誌文件 ↗ 學習 ↗ 論壇 ↗ 狀態 ↗ 公司職涯機會部落格社群工作坊學生品牌法律資訊服務條款隱私權政策資料使用安全性連接 X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 認證 🌐 繁體中文 ↓ English 简体中文日本語繁體中文 ✓ 跳至內容 Cursor 功能企業定價資源 ↓ 更新日誌部落格文件 ↗ 社群學習 ↗ 工作坊論壇 ↗ 職涯機會功能企業定價資源 → 登入下載 Careers Software Engineer, Growth Engineering · Full-time · SF / NY Apply ↓ Role As a Product Engineer on the Growth team at Cursor, you'll design and implement systems and features related to Onboarding, Monetization, and the core product experience. You might be a fit if... You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use. About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries. Applying If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. Apply for this role Name * Email * Resume ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Submit application → 產品功能企業 Web Agents Bugbot CLI 定價資源下載更新日誌文件 ↗ 學習 ↗ 論壇 ↗ 狀態 ↗ 公司職涯機會部落格社群工作坊學生品牌法律資訊服務條款隱私權政策資料使用安全性連接 X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 認證 🌐 繁體中文 ↓ English 简体中文日本語繁體中文 ✓	2026-01-13T09:29:49
https://pdimagearchive.org/images/be55f295-412c-481f-acdb-0cefe153fc91	‘Floating Dungeons’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… Floating Dungeons Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 1400 x 929 Download Image Styles Book Illustration Themes Crime & Law Technology The Future Tags military future cities sea artillery nautical retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
https://pdimagearchive.org/images/69e61027-9f9e-4f7c-a82e-2defc951ec5c	‘Manufacturing Books’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… Manufacturing Books Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 949 x 874 Higher res available? Download Image Themes Technology The Future Tags printing authors books writing inventions retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
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https://ai.google.dev/api/models?hl=bn	Models  \|  Gemini API  \|  Google AI for Developers সরাসরি আসল কন্টেন্টে যান / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 API কী পান রান্নার বই কমিউনিটি সাইন-ইন করুন ডক্স API রেফারেন্স Gemini API ডক্স API রেফারেন্স API কী পান রান্নার বই কমিউনিটি ওভারভিউ API সংস্করণ ক্ষমতা মডেল সামগ্রী তৈরি করা হচ্ছে লাইভ API লাইভ মিউজিক API ইন্টারঅ্যাকশন API টোকেন নথি পত্র ব্যাচ API ক্যাশিং এম্বেডিং ফাইল অনুসন্ধান ফাইল অনুসন্ধানের দোকান দলিল সমস্ত পদ্ধতি অবচয় PaLM (পচনশীল) SDK রেফারেন্স Python Go টাইপস্ক্রিপ্ট Java C# এই পৃষ্ঠাটি Cloud Translation API অনুবাদ করেছে। হোম Gemini API API রেফারেন্স মতামত জানান Models মডেল এন্ডপয়েন্ট আপনাকে প্রোগ্রাম্যাটিকভাবে উপলব্ধ মডেলগুলি তালিকাভুক্ত করার এবং সমর্থিত কার্যকারিতা এবং প্রসঙ্গ উইন্ডো আকারের মতো বর্ধিত মেটাডেটা পুনরুদ্ধার করার একটি উপায় প্রদান করে। মডেল নির্দেশিকাতে আরও পড়ুন। পদ্ধতি: models.get শেষবিন্দু পথের পরামিতি অনুরোধের মূল অংশ প্রতিক্রিয়া মূল অংশ অনুমোদনের সুযোগ উদাহরণ অনুরোধ পান একটি নির্দিষ্ট Model সম্পর্কে তথ্য সংগ্রহ করে যেমন এর সংস্করণ নম্বর, টোকেন সীমা, প্যারামিটার এবং অন্যান্য মেটাডেটা। বিস্তারিত মডেল তথ্যের জন্য জেমিনি মডেল নির্দেশিকাটি দেখুন। শেষবিন্দু https পান https: / /generativelanguage.googleapis.com /v1beta /{name=models /} পথের পরামিতি name string প্রয়োজনীয়। মডেলের রিসোর্সের নাম। এই নামটি models.list পদ্ধতি দ্বারা প্রদত্ত একটি মডেল নামের সাথে মিলিত হওয়া উচিত। বিন্যাস: models/{model} এটি models/{model} রূপ নেয়। অনুরোধের মূল অংশ অনুরোধের মূল অংশটি অবশ্যই খালি থাকতে হবে। উদাহরণ অনুরোধ পাইথন from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py যাও ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go শেল curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh প্রতিক্রিয়া মূল অংশ যদি সফল হয়, তাহলে রেসপন্স বডিতে Model এর একটি উদাহরণ থাকবে। পদ্ধতি: models.list শেষবিন্দু কোয়েরি প্যারামিটার অনুরোধের মূল অংশ প্রতিক্রিয়া মূল অংশ JSON উপস্থাপনা অনুমোদনের সুযোগ উদাহরণ অনুরোধ তালিকা জেমিনি API এর মাধ্যমে উপলব্ধ Model তালিকাভুক্ত করে। শেষবিন্দু https: / /generativelanguage.googleapis.com /v1beta /models পান কোয়েরি প্যারামিটার pageSize integer (প্রতি পৃষ্ঠায়) সর্বাধিক কতগুলি Models ফেরত পাঠানো হবে। যদি নির্দিষ্ট না করা থাকে, তাহলে প্রতি পৃষ্ঠায় ৫০টি মডেল ফেরত দেওয়া হবে। এই পদ্ধতিটি প্রতি পৃষ্ঠায় সর্বাধিক ১০০০ মডেল ফেরত দেবে, এমনকি যদি আপনি একটি বৃহত্তর পৃষ্ঠার আকার পাস করেন। pageToken string একটি পৃষ্ঠা টোকেন, পূর্ববর্তী models.list কল থেকে প্রাপ্ত। পরবর্তী পৃষ্ঠাটি পুনরুদ্ধার করার জন্য পরবর্তী অনুরোধের যুক্তি হিসেবে একটি অনুরোধের মাধ্যমে ফেরত আসা pageToken প্রদান করুন। পৃষ্ঠাকরণের সময়, models.list এ প্রদত্ত অন্যান্য সমস্ত প্যারামিটার অবশ্যই পৃষ্ঠা টোকেন প্রদানকারী কলের সাথে মিলতে হবে। অনুরোধের মূল অংশ অনুরোধের মূল অংশটি অবশ্যই খালি থাকতে হবে। উদাহরণ অনুরোধ পাইথন from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py যাও ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go শেল curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh প্রতিক্রিয়া মূল অংশ মডেলগুলির একটি পৃষ্ঠাঙ্কিত তালিকা সম্বলিত ListModel থেকে প্রাপ্ত প্রতিক্রিয়া। যদি সফল হয়, তাহলে রেসপন্স বডিতে নিম্নলিখিত কাঠামো সহ ডেটা থাকবে: ক্ষেত্র models[] object ( Model ) ফিরে আসা মডেলরা। nextPageToken string একটি টোকেন, যা পরবর্তী পৃষ্ঠাটি পুনরুদ্ধার করার জন্য pageToken হিসাবে পাঠানো যেতে পারে। যদি এই ক্ষেত্রটি বাদ দেওয়া হয়, তাহলে আর কোন পৃষ্ঠা থাকবে না। JSON উপস্থাপনা { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } REST রিসোর্স: মডেল রিসোর্স: মডেল JSON উপস্থাপনা পদ্ধতি রিসোর্স: মডেল একটি জেনারেটিভ ল্যাঙ্গুয়েজ মডেল সম্পর্কে তথ্য। ক্ষেত্র name string প্রয়োজনীয়। Model রিসোর্স নাম। সমস্ত অনুমোদিত মানের জন্য মডেল ভেরিয়েন্টগুলি দেখুন। বিন্যাস: models/{model} যার একটি {model} নামকরণের রীতি রয়েছে: "{বেসমডেলআইডি}-{সংস্করণ}" উদাহরণ: models/gemini-1.5-flash-001 baseModelId string প্রয়োজন। বেস মডেলের নাম, এটি জেনারেশন রিকোয়েস্টে পাঠান। উদাহরণ: gemini-1.5-flash version string প্রয়োজনীয়। মডেলের সংস্করণ নম্বর। এটি প্রধান সংস্করণ ( 1.0 বা 1.5 ) উপস্থাপন করে। displayName string মডেলটির নাম মানুষ পঠনযোগ্য। যেমন "জেমিনি ১.৫ ফ্ল্যাশ"। নামটি সর্বোচ্চ ১২৮ অক্ষর পর্যন্ত লম্বা হতে পারে এবং এতে যেকোনো UTF-8 অক্ষর থাকতে পারে। description string মডেলটির একটি সংক্ষিপ্ত বিবরণ। inputTokenLimit integer এই মডেলের জন্য অনুমোদিত সর্বোচ্চ সংখ্যক ইনপুট টোকেন। outputTokenLimit integer এই মডেলের জন্য উপলব্ধ আউটপুট টোকেনের সর্বাধিক সংখ্যা। supportedGenerationMethods[] string মডেলের সমর্থিত প্রজন্মের পদ্ধতি। সংশ্লিষ্ট API পদ্ধতির নামগুলি Pascal কেস স্ট্রিং হিসাবে সংজ্ঞায়িত করা হয়, যেমন generateMessage এবং generateContent । thinking boolean মডেলটি চিন্তাভাবনা সমর্থন করে কিনা। temperature number আউটপুটের এলোমেলোতা নিয়ন্ত্রণ করে। মান [0.0,maxTemperature] বেশি হতে পারে, যার মধ্যে রয়েছে। একটি উচ্চতর মান আরও বৈচিত্র্যময় প্রতিক্রিয়া তৈরি করবে, যেখানে 0.0 এর কাছাকাছি মান সাধারণত মডেল থেকে কম আশ্চর্যজনক প্রতিক্রিয়া তৈরি করবে। এই মানটি মডেলে কল করার সময় ব্যাকএন্ড দ্বারা ব্যবহৃত ডিফল্টটি নির্দিষ্ট করে। maxTemperature number এই মডেলটি সর্বোচ্চ যে তাপমাত্রা ব্যবহার করতে পারে। topP number নিউক্লিয়াস নমুনার জন্য। নিউক্লিয়াস স্যাম্পলিং টোকেনের ক্ষুদ্রতম সেট বিবেচনা করে যার সম্ভাব্যতার যোগফল কমপক্ষে topP । এই মানটি মডেলে কল করার সময় ব্যাকএন্ড দ্বারা ব্যবহৃত ডিফল্টটি নির্দিষ্ট করে। topK integer টপ-কে স্যাম্পলিং এর জন্য। টপ-কে স্যাম্পলিং topK এর সেটকে সবচেয়ে সম্ভাব্য টোকেন হিসেবে বিবেচনা করে। এই মানটি মডেলে কল করার সময় ব্যাকএন্ড দ্বারা ব্যবহৃত ডিফল্ট মান নির্দিষ্ট করে। যদি খালি থাকে, তাহলে বোঝায় যে মডেলটি টপ-কে স্যাম্পলিং ব্যবহার করে না এবং topK কে জেনারেশন প্যারামিটার হিসেবে অনুমোদিত নয়। JSON উপস্থাপনা { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } পদ্ধতি: models.predict শেষবিন্দু পথের পরামিতি অনুরোধের মূল অংশ JSON উপস্থাপনা প্রতিক্রিয়া মূল অংশ JSON উপস্থাপনা অনুমোদনের সুযোগ একটি পূর্বাভাস অনুরোধ সম্পাদন করে। শেষবিন্দু পোস্ট https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict পথের পরামিতি model string প্রয়োজন। ভবিষ্যদ্বাণীর জন্য মডেলের নাম। ফর্ম্যাট: name=models/{model} । এটি models/{model} রূপ নেয়। অনুরোধের মূল অংশ অনুরোধের মূল অংশে নিম্নলিখিত কাঠামো সহ ডেটা রয়েছে: ক্ষেত্র instances[] value ( Value format) প্রয়োজনীয়। ভবিষ্যদ্বাণী কলের ইনপুট হিসেবে ব্যবহৃত উদাহরণ। parameters value ( Value format) ঐচ্ছিক। ভবিষ্যদ্বাণী কল নিয়ন্ত্রণকারী প্যারামিটার। প্রতিক্রিয়া মূল অংশ [PredictionService.Predict] এর জন্য প্রতিক্রিয়া বার্তা। যদি সফল হয়, তাহলে রেসপন্স বডিতে নিম্নলিখিত কাঠামো সহ ডেটা থাকবে: ক্ষেত্র predictions[] value ( Value format) ভবিষ্যদ্বাণী কলের আউটপুট। JSON উপস্থাপনা { "predictions" : [ value ] } পদ্ধতি: models.predictLongRunning শেষবিন্দু পথের পরামিতি অনুরোধের মূল অংশ JSON উপস্থাপনা প্রতিক্রিয়া মূল অংশ অনুমোদনের সুযোগ models.predict এর মতোই কিন্তু LRO প্রদান করে। শেষবিন্দু পোস্ট https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning পথের পরামিতি model string প্রয়োজন। ভবিষ্যদ্বাণীর জন্য মডেলের নাম। ফর্ম্যাট: name=models/{model} . অনুরোধের মূল অংশ অনুরোধের মূল অংশে নিম্নলিখিত কাঠামো সহ ডেটা রয়েছে: ক্ষেত্র instances[] value ( Value format) প্রয়োজনীয়। ভবিষ্যদ্বাণী কলের ইনপুট হিসেবে ব্যবহৃত উদাহরণ। parameters value ( Value format) ঐচ্ছিক। ভবিষ্যদ্বাণী কল নিয়ন্ত্রণকারী প্যারামিটার। প্রতিক্রিয়া মূল অংশ যদি সফল হয়, তাহলে রেসপন্স বডিতে Operation এর একটি উদাহরণ থাকবে। মতামত জানান অন্য কিছু উল্লেখ না করা থাকলে, এই পৃষ্ঠার কন্টেন্ট Creative Commons Attribution 4.0 License -এর অধীনে এবং কোডের নমুনাগুলি Apache 2.0 License -এর অধীনে লাইসেন্স প্রাপ্ত। আরও জানতে, Google Developers সাইট নীতি দেখুন। Java হল Oracle এবং/অথবা তার অ্যাফিলিয়েট সংস্থার রেজিস্টার্ড ট্রেডমার্ক। 2025-12-16 UTC-তে শেষবার আপডেট করা হয়েছে। 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[[["সহজে বোঝা যায়","easyToUnderstand","thumb-up"],["আমার সমস্যার সমাধান হয়েছে","solvedMyProblem","thumb-up"],["অন্যান্য","otherUp","thumb-up"]],[["এতে আমার প্রয়োজনীয় তথ্য নেই","missingTheInformationINeed","thumb-down"],["খুব জটিল / অনেক ধাপ","tooComplicatedTooManySteps","thumb-down"],["পুরনো","outOfDate","thumb-down"],["অনুবাদ সংক্রান্ত সমস্যা","translationIssue","thumb-down"],["নমুনা / কোড সংক্রান্ত সমস্যা","samplesCodeIssue","thumb-down"],["অন্যান্য","otherDown","thumb-down"]],["2025-12-16 UTC-তে শেষবার আপডেট করা হয়েছে।"],[],[]] শর্তাবলী গোপনীয়তা Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:49
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When a CC license is applied to a database, what is being licensed? How do I apply a CC legal tool to a database? How do the different CC license elements operate for a CC-licensed database? Can I conduct text/data mining on a CC-licensed database? How does the treatment of sui generis database rights vary in prior versions of CC licenses? What is the difference between the Open Data Commons licenses and the CC 4.0 licenses? Frequently asked questions about data, generally Which components of databases are protected by copyright? How do I know whether a particular use of a database is restricted by copyright? If my use of a database is restricted by copyright, how do I comply with the license? Which components of a database are protected by sui generis database rights? How do I know whether a particular use of a database is restricted by sui generis database rights? What constitutes a “substantial portion” of a database? If my use of a database is restricted by sui generis database rights, how do I comply with the license? Artificial intelligence and CC licenses What are the limits on how CC-licensed works can be used in the development of new technologies, such as training of artificial intelligence software? But what about privacy laws, rules governing ethical research, and data protection laws? What attribution obligations exist when CC-licensed images are included in a published dataset? Is linking to the original image or URI required, and if so, is it adequate? If a for-profit company uses CC-licensed content under a Non Commercial license and releases the work under terms that allow only research purposes, is the NC restriction violated? If CC SA-licensed content is included in a database, does the entire database have to be licensed under an SA license? What, if any, remedies, do users have if they dislike how their photos or images have been reused? Notes These FAQs are designed to provide a better understanding of Creative Commons, our licenses, and our other legal and technical tools. They provide basic information, sometimes about fairly complex topics, and will often link to more detailed information. Other CC FAQs: CC0 Public Domain Dedication and Public Domain Mark . “Licensor”, “rights holder”, “owner”, and “creator” may be used interchangeably to refer to the person or entity applying a CC license. Information about the licenses is primarily made with reference to the 4.0 suite, but earlier license versions are mentioned where they differ. Have a question that isn’t answered here? Contact info@creativecommons.org. Creative Commons does not provide legal advice. This FAQ is for informational purposes and is not a substitute for legal advice. It may not cover important issues that affect you. You should consult with your own lawyer if you have questions. About CC What is Creative Commons and what do you do? Creative Commons is a global nonprofit organization that enables sharing and reuse of creativity and knowledge through the provision of free legal tools. Our legal tools help those who want to encourage reuse of their works by offering them for use under generous, standardized terms; those who want to make creative uses of works; and those who want to benefit from this symbiosis. Our vision is to help others realize the full potential of the internet. CC has affiliates all over the world who help ensure our licenses work internationally and who raise awareness of our work. Although Creative Commons is best known for its licenses, our work extends beyond just providing copyright licenses. CC offers other legal and technical tools that also facilitate sharing and discovery of creative works, such as CC0 , a public domain dedication for rights holders who wish to put their work into the public domain before the expiration of copyright, and the Public Domain Mark , a tool for marking a work that is in the worldwide public domain. Creative Commons licenses and tools were designed specifically to work with the web, which makes content that is offered under their terms easy to search for, discover, and use. For more information about CC, our main website contains in-depth information about the organization , its staff and board of directors , its history , and its supporters . You can also read CC case studies to learn about some of the inspiring ways CC licenses and tools have been used to share works and support innovative business models. You can find regularly updated information about CC by visiting the blog . Is Creative Commons against copyright? Absolutely not. CC has responded to claims to the contrary . CC licenses are copyright licenses, and depend on the existence of copyright to work. CC licenses are legal tools that creators and other rights holders can use to offer certain usage rights to the public, while reserving other rights. Those who want to make their work available to the public for limited kinds of uses while preserving their copyright may want to consider using CC licenses. Others who want to reserve all of their rights under copyright law should not use CC licenses. That said, Creative Commons recognizes the need for change in copyright law, and many members of the Creative Commons community are active participants in the copyright reform movement. For more information, see our statement in support of copyright reform . What does “Some Rights Reserved” mean? Copyright grants to creators a bundle of exclusive rights over their creative works, which generally include, at a minimum, the right to reproduce, distribute, display, and make adaptations. The phrase “All Rights Reserved” is often used by owners to indicate that they reserve all of the rights granted to them under the law. When copyright expires, the work enters the public domain , and the rights holder can no longer stop others from engaging in those activities under copyright, with the exception of moral rights reserved to creators in some jurisdictions. Creative Commons licenses offer creators a spectrum of choices between retaining all rights and relinquishing all rights (public domain), an approach we call “Some Rights Reserved.” Can Creative Commons give legal advice about its licenses or other tools, or help with CC license enforcement? No. Creative Commons is not a law firm and does not provide legal advice or legal services. CC is similar to a self-help service that offers free, form-based legal documents for others to use. These FAQ answers many of the most common questions. There is also specialized information available on the following pages: Marking practices for creators Marking practices for reusers Data FAQ Differences between CC license versions Differences between jurisdiction ports of earlier license versions Public domain mark FAQ CC0 FAQ While CC does provide this informational guidance about its licenses and other tools, this information may not apply to your particular situation, and should never be taken as legal advice. If you’re looking for legal advice about using CC licenses and other tools, we recommend contacting the Creative Commons affiliate in your jurisdiction . CC affiliates are highly connected to the communities of copyright lawyers in their countries. We also offer a list of lawyers and organizations who have identified themselves as willing to provide information to others about CC licensing issues. However, please note that CC does not provide referral services, and does not endorse or recommend any person on that list. Does Creative Commons collect or track material licensed under a CC license? No, CC does not collect content or track licensed material. However, CC builds technical tools that help the public search for and use works licensed under our licenses and other legal tools, and many others have built such tools as well. CC Search is one tool developed by CC to help the public discover works offered under Creative Commons licenses on the internet via CC-aware search engines and repositories. What do the Creative Commons buttons do? The CC buttons are a shorthand way to convey the basic permissions associated with material offered under CC licenses. Creators and owners who apply CC licenses to their material can download and apply those buttons to communicate to users the permissions granted in advance. When the material is offered online, the buttons should usually link out to the human-readable license deeds (which, in turn, link to the license itself). May I use the Creative Commons logo and buttons? You may download high resolution versions of the Creative Commons logos and use them in connection with your work or your website, provided you comply with our policies . Among other things, if you use the logos on a website or on your work, you may not alter the logos in any respect—such as by changing the font, the proportions, or the colors. CC’s buttons, name, and corporate logo (the “CC” in a circle) are trademarks of Creative Commons. You cannot use them in ways not permitted by our policies unless you first receive express, written permission. This means, for example, that you cannot (without our permission) print your own buttons and t-shirts using CC logos, although you can purchase them in CC’s store . I love Creative Commons. How can I help? Please support CC by making a donation through our support page . Donations can be handled through PayPal or by credit card. You can also support CC by visiting our store . CC always welcomes your feedback, which you can provide by emailing info at creativecommons dot org . You can also participate in CC’s email discussion lists and share feedback and ideas in one of those forums. If you are a software developer, sysadmin, or have other technical expertise, please join our developer community and help build the tools that build the commons. Finally, one of the best ways to support CC is by supporting our causes yourself. Follow our blog to find out about current issues where you can help get involved and spread the word, and advocate for free and open licensing in your own communities. Why does Creative Commons run an annual fundraising campaign? What is the money used for and where does it go? Creative Commons is a global nonprofit organization that enables sharing and reuse of creativity and knowledge through free legal tools, with affiliates all over the world who help ensure our licenses work internationally and raise awareness about our work. Our tools are free, and our reach is wide. In order to… continue developing our licenses and public domain tools to make sure they are legally and technically up-to-date around the world, help creators implement these tools on websites through best practices and individual assistance, enable CC licensing on major content-sharing platforms, enhance CC-licensed resource search and discovery, advocate for CC licensing and open policies in education , science , and culture , and myriad other activities we’re forgetting to mention, such as all the everyday boring but essential operations that go into running an organization …we need $ to make it all happen! For more information, please take a look at our Annual Report . Creative Commons has always relied on the generosity of both individuals and organizations to fund its ongoing operations. It is essential we have the public’s support because it is the creators and users of CC material who make our tools relevant in this digital age. They depend on the tools and services CC provides through their reuse and remix of the rich, open resources available on Wikipedia , Flickr , SoundCloud , Vimeo , Europeana , MIT OpenCourseWare , PLOS , Al Jazeera , and YouTube —just to name a few. Many of these people donate $10, $25, or $50 to CC, to help keep it up and running so we can continue to provide our tools and services for free, as a nonprofit organization. The more people who donate to CC, the more independent it will remain. General License Information What are Creative Commons licenses? Creative Commons licenses provide an easy way to manage the copyright terms that attach automatically to all creative material under copyright . Our licenses allow that material to be shared and reused under terms that are flexible and legally sound. Creative Commons offers a core suite of six copyright licenses. Because there is no single “Creative Commons license,” it is important to identify which of the six licenses you are applying to your material, which of the six licenses has been applied to material that you intend to use, and in both cases the specific version. All of our licenses require that users provide attribution (BY) to the creator when the material is used and shared. Some licensors choose the BY license, which requires attribution to the creator as the only condition to reuse of the material. The other five licenses combine BY with one or more of three additional license elements: NonCommercial (NC), which prohibits commercial use of the material; NoDerivatives (ND), which prohibits the sharing of adaptations of the material; and ShareAlike (SA), which requires adaptations of the material be released under the same license. CC licenses may be applied to any type of work, including educational resources , music , photographs , databases , government and public sector information , and many other types of material . The only categories of works for which CC does not recommend its licenses are computer software and hardware. You should also not apply Creative Commons licenses to works that are no longer protected by copyright or are otherwise in the public domain . Instead, for those works in the worldwide public domain, we recommend that you mark them with the Public Domain Mark . How do CC licenses operate? CC licenses are operative only when applied to material in which a copyright exists, and even then only when a particular use would otherwise not be permitted by copyright. Note that the latest version of CC licenses also applies to rights similar to copyright, such as neighboring rights and sui generis database rights . Learn more about the scope of the licenses. This means that CC license terms and conditions are not triggered by uses permitted under any applicable exceptions and limitations to copyright , nor do license terms and conditions apply to elements of a licensed work that are in the public domain. This also means that CC licenses do not contractually impose restrictions on uses of a work where there is no underlying copyright. This feature (and others) distinguish CC licenses from some other open licenses like the ODbL and ODC-BY , both of which are intended to impose contractual conditions and restrictions on the reuse of databases in jurisdictions where there is no underlying copyright or sui generis database right. All CC licenses are non-exclusive: creators and owners can enter into additional, different licensing arrangements for the same material at any time (often referred to as “dual-licensing” or “multi-licensing”). However, CC licenses are not revocable once granted unless there has been a breach, and even then the license is terminated only for the breaching licensee. Please note that CC0 is not a license; it is a public domain dedication. When CC0 is applied to a work, copyright no longer applies to the work in most jurisdictions around the world. Therefore, references to dual licensing arrangements like the one above are inapplicable to CC0. There are also videos and comics that offer visual descriptions of how CC licenses work. Which is the latest version of the licenses offered by Creative Commons? In November 2013, Creative Commons published the version 4.0 license suite. These licenses are the most up-to-date licenses offered by CC, and are recommended over all prior versions. You can see how the licenses have been improved over time on the license versions page . 4.0 has been drafted to be internationally valid, and will have official translations becoming available after publication. Do Creative Commons licenses affect exceptions and limitations to copyright, such as fair dealing and fair use? No. By design, CC licenses do not reduce, limit, or restrict any rights under exceptions and limitations to copyright, such as fair use or fair dealing . If your use of CC-licensed material would otherwise be allowed because of an applicable exception or limitation, you do not need to rely on the CC license or comply with its terms and conditions. This is a fundamental principle of CC licensing. Who gives permission to use material offered under Creative Commons licenses? Our licenses and legal tools are intended for use by anyone who holds copyright in the material. This is often, but not always, the creator. Creative Commons offers licenses and tools to the public free of charge and does not require that creators or other rights holders register with CC in order to apply a CC license to a work. This means that CC does not have special knowledge of who uses the licenses and for what purposes, nor does CC have a way to contact creators beyond means generally available to the public. CC has no authority to grant permission on behalf of those persons, nor does CC manage those rights on behalf of others. If you would like to obtain additional permissions to use the work beyond those granted by the license that has been applied, or if you’re not sure if your intended use is permitted by the license, you should contact the rights holder . Are Creative Commons licenses enforceable in a court of law? Creative Commons licenses are drafted to be enforceable around the world, and have been enforced in court in various jurisdictions. To CC’s knowledge, the licenses have never been held unenforceable or invalid. CC licenses contain a “severability” clause. This allows a court to eliminate any provision determined to be unenforceable, and enforce the remaining provisions of the license. What happens if someone applies a Creative Commons license to my work without my knowledge or authorization? CC alerts prospective licensors they need to have all necessary rights before applying a CC license to a work. If that is not the case and someone has marked your work with a CC license without your authorization, you should contact that person and tell them to remove the license from your work. You may also wish to contact a lawyer. Creative Commons is not a law firm and cannot represent you or give you legal advice, but there are lawyers who have identified themselves as interested in representing people in CC-related matters . What are the international (“unported”) Creative Commons licenses, and why does CC offer “ported” licenses? One of CC’s goals is ensuring that all of its legal tools work globally, so that anyone anywhere in the world can share their work on globally standard terms. To this end, CC offers a core suite of six international copyright licenses (formerly called the “unported”) that are drafted based largely on various international treaties governing copyright , taking into account as many jurisdiction-specific legal issues as possible. The latest version (4.0) has been drafted with particular attention to the needs of international enforceability. For version 3.0 and earlier, Creative Commons has also offered ported versions of its six core licenses for many jurisdictions (which usually correspond to countries, but not always). These ported licenses are based on the international license suite but have been modified to reflect local nuances in the expression of legal terms and conditions, drafting protocols, and language. The ported licenses and the international licenses are all intended to be legally effective everywhere. CC expects that few, if any, ports will be necessary for 4.0. CC recommends that you take advantage of the improvements in the 4.0 suite explained on the license versions page unless there are particular considerations you are aware of that would require a ported license. Can I include a work licensed with CC BY in a Wikipedia article even though they use a CC BY-SA license? Yes. Works licensed under CC BY may be incorporated into works that are licensed under CC BY-SA. For example, you may incorporate a CC BY photograph into a Wikipedia article so long as you keep all copyright notices intact, provide proper attribution, and otherwise comply with the terms of CC BY. Learn more about the licenses. Can governments and intergovernmental organizations (“IGOs”) use CC licenses? Yes, anyone may use CC licenses for material they own, including governments and IGOs, and these institutions frequently use CC licenses on their copyrightable material . The reasons for doing so vary, and often include a desire to maximize the impact and utility of works for educational and informational purposes, and to enhance transparency. Creative Commons licenses have desirable features that make them the preferred choice over custom licenses. CC licenses are standard and interoperable, which means material published by different creators using the same type of CC license can be translated, modified, compiled, and remixed without legal barriers depending on the particular license applied . Creative Commons licenses are also machine-readable, allowing CC-licensed works to be easily discovered via search engines such as Google. These features maximize distribution, reuse, and impact of works published by governments and IGOs. Though we encourage anyone to use version 4.0, which is internationally valid and may be used by individuals as well as organizations, there is an IGO ported version of 3.0 that IGOs may also use. Read more about how governments and IGOs use and leverage CC licenses and legal tools, considerations for using our licenses, and how they operate in the IGO context. Can children apply Creative Commons licenses to work they create? This issue depends largely on the laws in place where the child lives. In the United States, children can be copyright holders and are entitled to license their works in the same manner as adults. However, they may have the right to disaffirm certain types of legal agreements, including licenses. In many parts of the United States, for example, children have the ability to disaffirm some types of agreements under certain circumstances once they reach the age where they are considered adults within the relevant jurisdiction. We are unaware of any attempt by a licensor to exercise the disaffirmation right with respect to a CC license applied to a work. What are the official translations of the CC licenses and CC0? Official language translations will be available for the 4.0 licenses and CC0. When you license your own work, you may use or link to the text of any available official translation. When you reuse CC-licensed material, you may comply with the license conditions by referring to any available official translation of the license. These translations are linguistic translations of the English version which adhere as closely as possible to the original text. These translations have been done by our affiliates in accordance with the Legal Code Translation Policy and with the oversight and detailed review of the CC legal team. Note that these are equivalents of the original English; these translations are not jurisdiction ported versions . You may find a list of all available translations here . For versions 3.0 and earlier, official translations are not available. Some unofficial translations were made for informational purposes only. (Jurisdiction ported versions of version 3.0 and earlier were generally published in the official language(s) of the appropriate jurisdiction. However, the ported licenses are not equivalent to the international licenses, and do not serve as substitutable references for purposes of complying with the terms and conditions of the licenses.) What is a BY-SA Compatible License? A BY-SA Compatible License is a license officially designated by Creative Commons pursuant to the ShareAlike compatibility process . Once deemed a BY-SA Compatible License, you may use the license to publish your contributions to an adaptation of a BY-SA work. To see the list of BY-SA Compatible Licenses, click here . Learn more about ShareAlike compatibility here . For Licensors Choosing a license What things should I think about before I apply a Creative Commons license? Applying a Creative Commons license to your material is a serious decision. When you apply a CC license, you give permission to anyone to use your material for the full duration of applicable copyright and similar rights. CC has identified some things that you should consider before you apply a CC license, some of which relate to your ability to apply a CC license at all. Here are some highlights: Is the material copyrightable? If not, is it subject to neighboring rights or sui generis database rights ? CC licenses do not apply to material in the public domain . Different countries have different standards for what is in the public domain. Do you own the material you want to license? If not, are you otherwise authorized to license it under the specific CC license you are interested in using? You should not apply a license to material that you do not own or that you are not authorized to license. Are you aware that CC licenses are not revocable ? You are free to stop offering material under a CC license at any time, but this will not affect the rights associated with any copies of your work already in circulation. (Any particular licensee may lose his or her rights after violating the license, but this does not affect continual use of the work by other licensees.) Are you a member of a collecting society ? If you are, you should make sure that you are able to use CC licenses for your materials . Always read the terms and conditions of the specific license you plan to apply. Additionally, there are several terms that may differ in the earlier versions of the license , both unported and ported. If you choose to use a pre-4.0 version or any ported version , clauses such as choice of law may affect your desired choice of license. How should I decide which license to choose? If you are unsure which license best suits your needs, there are plenty of resources to help rights holders choose the right CC license. CC Australia has developed a flow chart that may be useful in helping you settle on the right license for your work. You can also read case studies of others who are using CC licenses. The CC community can also respond to questions, and may have already addressed issues you raise. The CC community email discussion lists and discussion archives may be useful resources. Finally, you may also want to consult with a lawyer to obtain advice on the best license for your needs. Why should I use the latest version of the Creative Commons licenses? The latest version of the Creative Commons licenses is version 4.0. You should always use the latest version of the Creative Commons licenses in order to take advantage of the many improvements described on the license versions page . In particular, 4.0 is meant to be better suited to international use, and use in many different contexts, including sharing data . What if CC licenses have not been ported to my jurisdiction? All CC licenses are intended to work worldwide. Unless you have a specific reason to use a ported license , we suggest you consider using one of the international licenses. 4.0 will support official translations of the international license for those who wish to use the licenses in another language. As of version 4.0, CC is discouraging ported versions, and has placed a hold on new porting projects following its publication until sometime in 2014. At that point, CC will reevaluate the necessity of porting in the future. Should I choose an international license or a ported license? We recommend that you use a version 4.0 international license. This is the most up-to-date version of our licenses, drafted after broad consultation with our global network of affiliates, and it has been written to be internationally valid. There are currently no ports of 4.0, and it is planned that few, if any, will be created. All of the ported licenses are at version 3.0 or earlier, which means licensors using those licenses do not have the benefit of the improvements made in the 4.0 license suite . But even before considering the improvements in 4.0, there are several reasons why the international licenses may be preferable for rights holders, even if the licenses have been ported to their jurisdiction. As an organization, CC itself licenses all of its own content under an international license because, among other reasons, the international licenses are essentially jurisdiction-neutral while remaining effective globally. The neutral nature of the international licenses appeals to many people and organizations, particularly for use in connection with global projects that transcend political borders. Finally, it is important to know that some of the ported licenses contain a choice of law provision, which may be undesirable for your needs. However, some rights holders still choose a license ported to their local jurisdiction because they believe their needs are not sufficiently met by the international licenses. If the licenses have been ported to your jurisdiction and you feel that the ported licenses better account for some aspect of local legislation, then you may wish to consider a ported license. You can use our jurisdiction database to compare international licenses and ports on these issues and others, such as whether a ported license contains a choice of law or forum selection clause. Why should I use the license chooser? What if I don’t? Licensors are not required to use the CC license chooser or provide any information about themselves or their material when applying a CC license to their material. However, using the license chooser enables licensors to take advantage of the “machine readable” layer of CC licenses. Our machine-readable code enhances the discoverability of your work because that code allows software, search engines, and other tools to recognize when something is licensed under a CC license. The code also facilitates attribution: when users click on the CC button placed on your site, they will be linked directly to HTML code that they can cut and paste to provide attribution. How do I apply a Creative Commons license to my material? For online material : Select the license that is appropriate for your material from the CC license chooser and then follow the instructions to include the HTML code. The code will automatically generate a license button and a statement that your material is licensed under a CC license. If you are only licensing part of a work (for example, if you have created a video under a CC license but are using a song under a different license), be sure to clearly mark which parts are under the CC license and which parts are not. The HTML code will also include metadata, which allows the material to be discovered via Creative Commons-enabled search engines . For offline material : Identify which license you wish to apply to your work and either (a) mark your work with a statement such as, “This work is licensed under the Creative Commons [insert description] License. To view a copy of the license, visit [insert url]”; or (b) insert the applicable license buttons with the same statement and URL link. For third-party platforms : Many media platforms like Flickr , YouTube , and SoundCloud have built-in Creative Commons capabilities, letting users mark their material with a CC license through their account settings. The benefit of using this functionality is that it allows other people to find your content when searching on those platforms for CC-licensed material . If the platform where you’re uploading your content does not support CC licensing, you can still identify your content as CC-licensed in the text description of your content. Legally, these three options are the same. The only difference between applying a CC license offline rather than online is that marking a work online with metadata will ensure that users will be able to find it through CC-enabled search engines. CC offers resources on the best practices for marking your material and on how to mark material in different media (.pdf) . Do I need to register with Creative Commons before I obtain a license? No. CC offers its licenses, code, and tools to the public free of charge, without obligation. You do not need to register with Creative Commons to apply a CC license to your material; it is legally valid as soon as you apply it to any material you have the legal right to license. CC does not require or provide any means for creators or other rights holders to register use of a CC license, nor does CC maintain a database of works distributed under Creative Commons licenses. CC also does not require registration of the work with a national copyright agency. What do the terms and conditions of a CC license apply to? Although CC licenses get attached to tangible works (such as photos and novels), the license terms and conditions apply to the licensor’s copyright in the licensed material. The public is granted “permission to exercise” those rights in any medium or format . It is the expression that is protected by copyright and covered by the licenses, not any particular medium or format in which the expression is manifested. This means, for example, that a CC license applied to a digitized copy of a novel grants the public permission under copyright to use a print version of the same novel on the same terms and conditions (though you may have to purchase the print version from a bookstore). Can I apply a Creative Commons license to software? We recommend against using Creative Commons licenses for software. Instead, we strongly encourage you to use one of the very good software licenses which are already available. We recommend considering licenses listed as free by the Free Software Foundation and listed as “open source” by the Open Source Initiative . Unlike software-specific licenses, CC licenses do not contain specific terms about the distribution of source code, which is often important to ensuring the free reuse and modifiability of software. Many software licenses also address patent rights, which are important to software but may not be applicable to other copyrightable works. Additionally, our licenses are currently not compatible with the major software licenses, so it would be difficult to integrate CC-licensed work with other free software. Existing software licenses were designed specifically for use with software and offer a similar set of rights to the Creative Commons licenses. Version 4.0 of CC’s Attribution-ShareAlike (BY-SA) license is one-way compatible with the GNU General Public License version 3.0 (GPLv3). This compatibility mechanism is designed for situations in which content is integrated into software code in a way that makes it difficult or impossible to distinguish the two. There are special considerations required before using this compatibility mechanism. Read more about it here . Also, the CC0 Public Domain Dedication is GPL-compatible and acceptable for software. For details, see the relevant CC0 FAQ entry . While we recommend against using a CC license on software itself, CC licenses may be used for software documentation, as well as for separate artistic elements such as game art or music. Can I apply a Creative Commons license to databases? Yes. CC licenses can be used on databases . In the 4.0 license suite, applicable sui generis database rights are licensed under the same license conditions as copyright. Many governments and others use CC licenses for data and databases. For more detailed information about how CC licenses apply to data and databases, visit our detailed Data FAQ . Could I use a CC license to share my logo or trademark? Creative Commons does not recommend using a CC license on a logo or trademark. While a logo or trademark can be covered by copyright laws in addition to trademark laws, the special purposes of trademarks make CC licenses an unsuitable mechanism for sharing them in most cases. Generally, logos and trademarks are used to identify the origin of a product or service, or to indicate that it meets a specific standard or quality. Allowing anyone to reuse or modify your logo or trademark as a matter of copyright could result in your inability to limit use of your logo or trademark selectively to accomplish those purposes. Applying a CC license to your trademarks and logos could even result in a loss of your trademark rights altogether. See below for more about how to license material that includes a trademark or logo. There are other ways to share your logos and trademarks widely while preserving your trademark rights. Establishing a trademark policy that grants permissions in advance for limited uses is one common alternative. Mozilla , Wikimedia , and Creative Commons have each published policies that accomplish the dual objectives of encouraging reuse and preserving trademark rights. May I apply a Creative Commons license to a work in the public domain? CC licenses should not be applied to works in the worldwide public domain . All CC licenses are clear that they do not have the effect of placing restrictions on material that would otherwise be unrestricted, and you cannot remove a work from the public domain by applying a CC license to it. If you want to dedicate your own work to the public domain before the expiration of applicable copyright or similar rights, use CC’s legally robust public domain dedication . If a work is already in the worldwide public domain, you should mark it with CC’s Public Domain Mark . Note that, in some cases, a work may be in the public domain under the copyright laws of some jurisdictions but not others. For example, U.S. government works are in the public domain under the copyright law of the United States, but may be protected by copyright laws in other jurisdictions. A CC license applied to such a work would be effective (and the license restrictions enforceable) in jurisdictions where copyright protection exists, but would not be operative if U.S. copyright law is determined to be the applicable law. Creators may also apply Creative Commons licenses to material they create that are adapted from public domain works, or to remixed material, databases, or collections that include work in the public domain. However, in each of these instances, the license does not affect parts of the work that are unrestricted by copyright or similar rights. We strongly encourage you to mark the public domain material , so that others know they are also free to use this material without legal restriction. If I take a photograph of another work that is in the public domain, can I apply a CC license to my photo? That depends. You can apply a CC license to your photograph if your photograph constitutes a work of original authorship, a question that varies by jurisdiction. As a general matter, your photograph must involve some creative choices, such as background setting, lighting, angle, or other mark of creativity. In the United States, an exact photographic copy of a public domain work is not subject to copyright because there is no originality (even if there is effort or “sweat” exerted in its creation). In practice, if your photograph is sufficiently creative to attract copyright protection, people will likely have to comply with the license conditions if they reproduce your entire photograph in verbatim form, absent some applicable exception or limitation such as fair use. However, they would not have to comply with the license conditions if they reproduce only those parts of the work in the public domain . This is because your copyright in the adaptation only extends to the material you contributed, not to the underlying work. May I apply a CC license to my work if it incorporates material used under fair use or another exception or limitation to copyright? Yes, but it is important to prominently mark any third party material you incorporate into your work so reusers do not think the CC license applies to that material. The CC license only applies to the rights you have in the work. For example, if your CC-licensed slide deck includes a Flickr image you are using pursuant to fair use, make sure to identify that image as not being subject to the CC license. For more information about incorporating work owned by others, see our page about marking third party content . Read more considerations for licensors here . Rights other than copyright Can I use CC licenses to license rights other than copyright? CC licenses are copyright licenses, but the latest version of CC licenses also cover certain other rights similar to cop	2026-01-13T09:29:49
https://www.cisco.com/site/au/en/solutions/index.html#cookies	Cisco Solutions for Technology, Industry, and Business Needs - Cisco Skip to main content Skip to search Skip to footer Cisco.com Australia / New Zealand Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Close Explore Cisco How to buy Partners EN AU Log in Explore Cisco Search MENU CLOSE How to buy Partners Log in EN AU Close Close Close Close Close Cisco solutions Unlock innovation with tailored combinations of products and services to tackle your specific industry, business, or technology challenges. Find a solution Technologies Artificial intelligence Use artificial intelligence and machine learning to enable flexibility and secure, intelligent experiences. Explore Cisco AI Collaboration Connect, communicate, and collaborate securely across distributed teams, wherever they are, with reliable business solutions. Explore collaboration Computing Deploy, manage, and optimize your computing resources across hybrid cloud environments. Explore computing Networking Build a unified network for secure access from anywhere. Explore networking Observability Deliver digital excellence across applications with observability and cloud application security. Explore observability Security Defend against threats and make your network secure and resilient. Explore security Industries Cities and communities Create inclusive, connected, resilient services to power tomorrow's communities and workplaces. Explore cities and communities Education Connect and empower teachers and students, wherever they are. Explore education Financial services Build trust by securely connecting what's now and what's next in financial services. Explore financial services Government Reimagine government operations in your countries and communities through technology. Explore government Healthcare Empower patients, providers and staff with data-driven care and secure connections. Explore healthcare Manufacturing Maximise agility, security and efficiency across your operations and workforce. Explore manufacturing Mining Improve the safety, reliability, and efficiency of your mining operations, fleet, and workforce. Explore mining Oil and gas Embark on your digital transformation to boost efficiency and safety. Explore oil and gas Retail Satisfy customers, engage associates, and stay secure in today's challenging environment. Explore retail Smart buildings Combine design, technology, and data to build workspaces for the changing way we work. Explore smart buildings Sports, media, and entertainment Deliver engaging experiences across sports, e-sports, live music, and more. Explore sports, media, and entertainment Transportation Improve the safety, mobility, and operational efficiency of your transportation system. Explore transportation Utilities Boost utility modernization, security, and reliability with smart grid solutions. Explore utilities Service providers Service providers Our solutions are designed to help you, as service providers, achieve your key business goals. Explore service providers Small and medium business Small and medium business Evolve how you operate, collaborate, and secure your small or medium business using solutions that offer reliability, scalability, and security. Explore small and medium business Trials and demos Use trials and demos to explore how our products and technologies can support your business and technical needs. Explore trials and demos Explore more from Cisco Software Explore software that covers a wide range of IT needs—from security, networking, and computing to collaboration and observability. Explore software Services Use services from Cisco and our partners to help you to transform your IT environment and deliver business value. Explore Cisco Services Products Browse the wide range of products we offer to help fulfill your IT requirements. Explore products Show more Hello, how can I help? Start your transformation journey Connect with Cisco We're here to help you make informed decisions every step of the way. Contact Cisco Contact a Cisco partner Find a partner with the expertise, resources, and commitment to help you succeed. Find a partner Show more Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Statement Cookies Trademarks Supply Chain Transparency Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:49
https://pdimagearchive.org/images/abb24084-9560-4eb6-850a-06ead70f9439	‘The Physical Decay of the Overrefined’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Physical Decay of the Overrefined Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 830 x 1200 Higher res available? Download Image Styles Book Illustration Themes Technology The Future Tags books future cities ageing retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
https://www.cisco.com/site/ae/en/services/index.html	Services and Support - Cisco Skip to main content Skip to search Skip to footer Cisco.com Middle East Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Explore Cisco How to buy Partners EN AE Log in Explore Cisco Search MENU CLOSE How to buy Partners Log in EN AE Close Close Close Close Close Cisco Services Personalized, proactive and predictive Get to your goals faster with human expertise combined with AI efficiency. Watch video (1:26) Get support Real results from a partner you can trust Resiliency 98% Crush the configuration chaos with 98%+ change success Simplicity 88% 88% attempting self-service are successful Time to value 2-4x 2-4x faster support case resolution when fully processed by AI-enabled automation Show more Services and support designed for a world that doesn’t stop Watch the video to see how Cisco IQ brings together AI and human expertise to elevate support and professional services from reactive fixes to strategic, predictive powerhouses, giving you zero surprises. Support and Professional Services powered by Cisco IQ and expertise Read Liz Centoni’s blog announcing Cisco IQ: Your IT’s AI-powered Cisco command center, unifying complexity into crystal-clear clarity. Read blog Deliver tangible business results in the AI era Discover services designed to support your largest goals and guide you at every step. Turn AI’s possibility into reality Is your data center ready for AI? What about your teams? Learn how to identify the right solution for your needs, debunk common myths, and infuse security from the start.  Transform your data center Create productive connections Empower your people with richer, more secure interactions wherever they gather and do work. Make your teams more effective and deliver better experiences. Build the right workplace Stay ahead of disruption Cut through complexity with a unified interface that’s intuitive, intelligent, and integrated. Get support that continually adapts with you. Get predictive support Find solutions that work for you Professional services Get expert guidance, seamless deployment, and tailored solutions built for today’s evolving business landscape. Get started with professional services AI-powered support Experience the efficiency of less downtime, faster issue resolution, and more intuitive technology. Get started with AI-powered support Learn with Cisco Empower your team to tackle any challenge with skills development, industry-recognized certifications and product training. Get started with Learn with Cisco Technology Collaboration Security Observability Service provider Computing Enterprise networking Four stories, one trusted partner Leaders across industries rely on Cisco services to cut through complexity and achieve stronger, smarter outcomes. Simplifying complexity for better care NYC Health + Hospitals was able to enhance visibility and security across its IT infrastructure to ensure every patient receives the best possible care. See NYC Health + Hospitals’ story Minimizing manual tasks with automation Workday improved its security and resilience by implementing standardized configurations with the support of a more robust network. See Workday’s story Streamlining travel through real-time support United Airlines transformed its customer service operations, resulting in substantially improved efficiency and accessibility for customers seeking assistance. See United Airlines’ story Elevating connections across a country Norlys expanded the national network infrastructure of Denmark with minimal disruption while ensuring reliability and quality for the entire nation. See Norlys’ story Show more See all stories Take the next step today Discover how Cisco services can help transform your technology deployment, adoption, and operations in the AI era. Contact Cisco Hello, how can I help? Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Statement Cookies Trademarks Supply Chain Transparency Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:49
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https://pdimagearchive.org/images/1088bd2c-886e-4d62-b07a-97a2eb08ca8f	‘The Binding of the Future (Tubes De Luxe) ’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Binding of the Future (Tubes De Luxe) Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 690 x 576 Higher res available? Download Image Themes Technology The Future Tags cylindrical books design inventions retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:49
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https://pdimagearchive.org/images/cdff3b94-d424-4eb8-a709-555effa2cb27	‘A Torpedo Ambush’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… A Torpedo Ambush Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 1400 x 944 Download Image Styles Book Illustration Themes Technology The Future War Tags underwater submarines divers future cities lighthouses rocks retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/index.html#cisco_c	Cisco Purpose - Power an Inclusive Future for All - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close About Our Purpose 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. Read FY24 Purpose Report A New Era of Impact We’re bringing the full power of  Cisco to engage, support, and invest in 40 communities around the world over the next 10 years. Learn more Sustainability Building a sustainable future We are decarbonizing our operations and engaging with our suppliers, customers, and communities to reduce environmental impacts. Explore sustainability Social impact Driving positive change in global communities We invest in tech-based solutions to positively impact the planet and the vulnerable, underserved communities around the world. Explore social impact Digital impact Unlocking the power of digitalization We harness the power of connectivity to build an inclusive digital economy, drive access to education and skills, and create resilient communities. Explore digital impact Philanthropy Supporting new solutions to global problems We enable organizations around the world with cash grants, technology, and shared expertise to accelerate and increase their impact. Explore philanthropy Inclusion Cultivating an environment in which we all thrive We recognize and celebrate the full spectrum of diversity, and our Conscious Culture enables every employee to succeed. Explore inclusion Supply chain Leading by example We source materials responsibly and sustainably, and drive improvement in our manufacturing operations. Explore supply chain Security and privacy Creating a secure future for all We protect data, systems, networks, and uphold and respect the human rights of all. Explore security and privacy Public policy Advocating and enabling our purpose We defend and advance local, national, and global policies that enable our business and our ability to power an inclusive future. Explore public policy Amplifying impact Sustainability solutions Accelerate your transition to a more sustainable future. Discover our products Our Corporate Purpose blog Discover how our initiatives benefit our people, communities, and the planet. Read our blog Cisco Foundation Learn how we support nonprofits and NGOs to amplify their impact. Explore Cisco Foundation Power an Inclusive Future for All Cisco Purpose Reporting Hub Find in-depth reporting on our latest impact, goals, and progress. Explore Purpose Reporting Hub Hello, how can I help? Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/index.html#fw-c-footer	Cisco Purpose - Power an Inclusive Future for All - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close About Our Purpose 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. Read FY24 Purpose Report A New Era of Impact We’re bringing the full power of  Cisco to engage, support, and invest in 40 communities around the world over the next 10 years. Learn more Sustainability Building a sustainable future We are decarbonizing our operations and engaging with our suppliers, customers, and communities to reduce environmental impacts. Explore sustainability Social impact Driving positive change in global communities We invest in tech-based solutions to positively impact the planet and the vulnerable, underserved communities around the world. Explore social impact Digital impact Unlocking the power of digitalization We harness the power of connectivity to build an inclusive digital economy, drive access to education and skills, and create resilient communities. Explore digital impact Philanthropy Supporting new solutions to global problems We enable organizations around the world with cash grants, technology, and shared expertise to accelerate and increase their impact. Explore philanthropy Inclusion Cultivating an environment in which we all thrive We recognize and celebrate the full spectrum of diversity, and our Conscious Culture enables every employee to succeed. Explore inclusion Supply chain Leading by example We source materials responsibly and sustainably, and drive improvement in our manufacturing operations. Explore supply chain Security and privacy Creating a secure future for all We protect data, systems, networks, and uphold and respect the human rights of all. Explore security and privacy Public policy Advocating and enabling our purpose We defend and advance local, national, and global policies that enable our business and our ability to power an inclusive future. Explore public policy Amplifying impact Sustainability solutions Accelerate your transition to a more sustainable future. Discover our products Our Corporate Purpose blog Discover how our initiatives benefit our people, communities, and the planet. Read our blog Cisco Foundation Learn how we support nonprofits and NGOs to amplify their impact. Explore Cisco Foundation Power an Inclusive Future for All Cisco Purpose Reporting Hub Find in-depth reporting on our latest impact, goals, and progress. Explore Purpose Reporting Hub Hello, how can I help? Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:50
https://www.cisco.com/c/ar_eg/products/index.html#fw-footer-v2	المنتجات والحلول والخدمات - Cisco التخطي إلى المحتوى التخطي للبحث التخطي إلى التذييل Cisco.com مصر المنتجات والخدمات الحلول الدعم تعلّم استكشاف Cisco كيفية الشراء الصفحة الرئيسية للشركاء برنامج الشريك الجديد الدعم الأدوات العثور على شريك Cisco مقابلة شركائنا انضم إلى شركاء Cisco المنتجات والحلول والخدمات هل تريد مساعدة في العثور على منتجات من Cisco تلبي احتياجاتك؟ أنت في المكان الصحيح. إذا كنت تريد المساعدة في استكشاف الأخطاء أو التوثيق أو الحصول على دعم آخر أو التنزيلات، فاذهب إلى   قسم الدعم الفني الخاص بنا. اتصل بنا أحصل على مكالمة من ممثل مبيعات الحصول على الدعم الفني المنتجات حسب التقنية الشبكات المبدّلات الموجّهات اللاسلكية الشبكات محددة البرامج بنية Cisco Silicon One إدارة الشبكة الواجهات والوحدات النمطية الشبكات الضوئية الاطلاع على كل ما يخص الشبكات الحلول اللاسلكية وحلول التنقل نقاط الوصول نقاط الوصول الخارجية والصناعية وحدات التحكم الاطلاع على كل ما يخص الحلول اللاسلكية وحلول التنقل الأمن منصة SecureX حماية جدار الحماية نظام حماية نقاط النهاية حماية البريد الإلكتروني حماية الوصول بواسطة Duo Umbrella الاطلاع على كل ما يخص الأمان التعاون الأجهزة الطرفية للتعاون المؤتمرات مركز الاتصال من Cisco الاتصالات الموحدة الاطلاع على كل ما يخص التعاون مركز البيانات الخوادم: نظام الحوسبة الموحّدة من Cisco الإدارة والأتمتة الأمان المبدّلات البنية التحتية عالية الاندماج شبكات التخزين الشبكات الافتراضية الاطلاع على كل ما يخص مركز البيانات التحليلات تحليلات وضمان مركز البيانات تحليلات الشبكة ( تحليلات وضمان Cisco DNA) نظام حماية تحليلات الشبكة من Cisco (Stealthwatch) الفيديو الأجهزة الطرفية للفيديو ذكاء الفيديو رؤية Cisco عرض جميع مقاطع الفيديو إنترنت الأشياء (IoT) الشبكة الصناعية المبدلات الصناعية والبوابات الأمان الصناعي الشبكة اللاسلكية الصناعية إدارة الاتصال الصناعي مؤسسة موسعة إدارة البيانات الاطلاع على كل ما يتعلق بإنترنت الأشياء البرامج IOS وNX-OS برنامج Cisco DNA للاتصال اللاسلكي برنامج Cisco DNA للتحويل برنامج Cisco DNA لشبكة WAN المعرفة بواسطة البرنامج والتوجيه برنامج Cisco ONE لشبكات مراكز البيانات برنامج Cisco ONE for Data Center Compute and Cloud الاطلاع على جميع البرامج فهرس المنتجات المنتجات حسب نوع الشركة مزودو الخدمة الشركات الصغيرة الشركات المتوسطة الحلول يمكن أن تقدم لمؤسستك حلولًا لجميع الأمور بدايةً من الشبكات ومركز البيانات وصولًا إلى التعاون والأمن. اعثر على الخيارات الأنسب لاحتياجات عملك. حسب التقنية حسب الصناعة اطلع على جميع الحلول الخدمات المقدمة من تجربة عميل Cisco خدمات الدعم الدعم الفني الذي يقدمه خبراء من الطراز العالمي ويسترشد بالأفكار المستمدة من حل ملايين القضايا في جميع أنحاء العالم، كل عام. خدمات الأعمال المهمة يوفر خبراؤنا، الذين هم على علم بالتحليلات والرؤى والأتمتة، تكنولوجيا معلومات مرنة، وقابلة للتكيّف، وتحويلية في أي مكان. الخدمات المدارة الإدارة الاستباقية، والمراقبة، والتحسين لبيئة تكنولوجيا المعلومات لديك لتسريع وقتك لتحقيق القيمة بشكل آمن. الخدمات المتقدمة مشاركات الخبراء في التقنيات الناشئة من الاستراتيجية والتصميم إلى التنفيذ مع مخاطر أقل. عرض جميع خدمات Cisco منطقة التصميم: أدلة تصميم Cisco حسب الفئة الشبكات السحابة الأمن الصناعات مركز البيانات التعاون اطلع على جميع أدلة تصميم Cisco تاريخ انتهاء التخفيضات وتاريخ انتهاء العمر الافتراضي منتجات من خط إنتاج منتهٍ ومنتجات في نهاية عمرها سياسة انتهاء العمر الافتراضي للمنتجات الأدوات Cisco Commerce Build & Price Cisco Software Central Cisco Feature Navigator الاطلاع على جميع أدوات المنتجات الموارد تطبيقات Cisco Mobile منطقة التصميم: أدلة تصميم Cisco Cisco DevNet كتالوج حلول السوق الموافقات على المنتجات معيار تعريف المنتجات ضمانات المنتجات نصائح الأمان من Cisco سياسة الثغرات الأمنية Visio stencils اتصل بمبيعات الدعم الفني التجارب والعروض التوضيحية والعروض	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/index.html#fw-c-content	Cisco Purpose - Power an Inclusive Future for All - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close About Our Purpose 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. Read FY24 Purpose Report A New Era of Impact We’re bringing the full power of  Cisco to engage, support, and invest in 40 communities around the world over the next 10 years. Learn more Sustainability Building a sustainable future We are decarbonizing our operations and engaging with our suppliers, customers, and communities to reduce environmental impacts. Explore sustainability Social impact Driving positive change in global communities We invest in tech-based solutions to positively impact the planet and the vulnerable, underserved communities around the world. Explore social impact Digital impact Unlocking the power of digitalization We harness the power of connectivity to build an inclusive digital economy, drive access to education and skills, and create resilient communities. Explore digital impact Philanthropy Supporting new solutions to global problems We enable organizations around the world with cash grants, technology, and shared expertise to accelerate and increase their impact. Explore philanthropy Inclusion Cultivating an environment in which we all thrive We recognize and celebrate the full spectrum of diversity, and our Conscious Culture enables every employee to succeed. Explore inclusion Supply chain Leading by example We source materials responsibly and sustainably, and drive improvement in our manufacturing operations. Explore supply chain Security and privacy Creating a secure future for all We protect data, systems, networks, and uphold and respect the human rights of all. Explore security and privacy Public policy Advocating and enabling our purpose We defend and advance local, national, and global policies that enable our business and our ability to power an inclusive future. Explore public policy Amplifying impact Sustainability solutions Accelerate your transition to a more sustainable future. Discover our products Our Corporate Purpose blog Discover how our initiatives benefit our people, communities, and the planet. Read our blog Cisco Foundation Learn how we support nonprofits and NGOs to amplify their impact. Explore Cisco Foundation Power an Inclusive Future for All Cisco Purpose Reporting Hub Find in-depth reporting on our latest impact, goals, and progress. Explore Purpose Reporting Hub Hello, how can I help? Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/index.html#svg-x	Cisco Purpose - Power an Inclusive Future for All - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close About Our Purpose 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. Read FY24 Purpose Report A New Era of Impact We’re bringing the full power of  Cisco to engage, support, and invest in 40 communities around the world over the next 10 years. Learn more Sustainability Building a sustainable future We are decarbonizing our operations and engaging with our suppliers, customers, and communities to reduce environmental impacts. Explore sustainability Social impact Driving positive change in global communities We invest in tech-based solutions to positively impact the planet and the vulnerable, underserved communities around the world. Explore social impact Digital impact Unlocking the power of digitalization We harness the power of connectivity to build an inclusive digital economy, drive access to education and skills, and create resilient communities. Explore digital impact Philanthropy Supporting new solutions to global problems We enable organizations around the world with cash grants, technology, and shared expertise to accelerate and increase their impact. Explore philanthropy Inclusion Cultivating an environment in which we all thrive We recognize and celebrate the full spectrum of diversity, and our Conscious Culture enables every employee to succeed. Explore inclusion Supply chain Leading by example We source materials responsibly and sustainably, and drive improvement in our manufacturing operations. Explore supply chain Security and privacy Creating a secure future for all We protect data, systems, networks, and uphold and respect the human rights of all. Explore security and privacy Public policy Advocating and enabling our purpose We defend and advance local, national, and global policies that enable our business and our ability to power an inclusive future. Explore public policy Amplifying impact Sustainability solutions Accelerate your transition to a more sustainable future. Discover our products Our Corporate Purpose blog Discover how our initiatives benefit our people, communities, and the planet. Read our blog Cisco Foundation Learn how we support nonprofits and NGOs to amplify their impact. Explore Cisco Foundation Power an Inclusive Future for All Cisco Purpose Reporting Hub Find in-depth reporting on our latest impact, goals, and progress. Explore Purpose Reporting Hub Hello, how can I help? Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:50
https://nl-be.trustpilot.com/review/damnmodz.com	DamnModz reviews \| Bekijk consumentenreviews over damnmodz.com Categorieën Blog Inloggen Voor bedrijven Voor bedrijven Inloggen Categorieën Blog Evenementen en entertainment Spellen Kansspelaanbieder DamnModz Samenvatting Over Reviews Bezoek de website Een review schrijven Bezoek de website Geclaimd profiel DamnModz Reviews 3.639 • 4,9 Kansspelaanbieder Een review schrijven Bezoek de website Een review schrijven Bedrijven op Trustpilot mogen geen beloningen aanbieden of betalen om reviews te verbergen. Bedrijfsgegevens Actief Trustpilot-abonnement Kansspelaanbieder Spellenwinkel Hobbywinkel Softwarebedrijf Videogamewinkel Info over DamnModz Geschreven door het bedrijf Welcome to DamnModz! Discover the fastest and most reliable modded accounts, unlocks, and gaming services for various titles including Call of Duty, GTA, Fortnite, Elden Ring, Forza Horizon, Clash of Clans, 8 Ball Pool, and more across all platforms. What sets us apart is our commitment to quality and customer satisfaction, as evidenced by our exceptional Trustpilot rating of 5.0. This rating is a testament to our dedication, built on the trust of thousands of gamers who have chosen us to enhance their gaming experience. Our Services Modded Accounts: Gain access to rare items, in-game currency, and unlocks across all platforms for your favorite games such as Call of Duty, GTA, Fortnite, Elden Ring, Forza Horizon, Clash of Clans, 8 Ball Pool, and more! Account Boost : Every account boost we perform prioritizes your account's safety. Using the safest and most reliable methods ensures your peace of mind throughout the process. 24/7 Support: Our team is here for you all day, every day. We're ready to help whenever you need us, making sure you get quick and easy support. Contactgegevens Verenigde Staten damnmodz.com 4,9 Uitstekend 4K reviews 5 sterren 4 sterren 3 sterren 2 sterren 1 ster Hoe wordt de TrustScore berekend? Heeft 71% van zijn negatieve reviews beantwoord Reageert doorgaans binnen 2 weken Zo gebruikt dit bedrijf Trustpilot 4,9 Alle reviews 3.639 in totaal ● Een review schrijven Wij controleren reviews 5 sterren 96% 4 sterren 3% 3 sterren < 1% 2 sterren < 1% 1 ster 1% Zo labelt Trustpilot reviews Meer filters Nieuwste CY Cyriel NL • 7 reviews 31 dec 2024 Geverifieerd Good and fast 31 december 2024 BI Billson NL • 3 reviews 27 aug 2024 Geverifieerd Got my order and nice service! 26 augustus 2024 KL klant NL • 5 reviews 17 mrt 2024 Geverifieerd Ongelooflijk Ongelooflijk, het werkt super. 17 maart 2024 Chris Smith NL • 2 reviews 14 mei 2023 Amazing Amazing, order done for all weapons max level within 10 hours. 14 mei 2023 Review zonder uitnodiging GI giovanni BE • 13 reviews 22 aug 2021 I got what i wanted I got what i wanted so i don't have any comlaints . Thanks 22 augustus 2021 Review zonder uitnodiging Toon reviews in alle talen. ( 3.639 reviews) Terug 1 Volgende pagina Dit is Trustpilot Wij staan open voor iedereen Iedereen kan een review op Trustpilot achterlaten n.a.v. een ervaring met een bedrijf. Gebruikers hebben het recht om hun feedback op elk moment te wijzigen of te verwijderen, en elke gepubliceerde review is zichtbaar zolang het account van de betreffende gebruiker actief is . Wij zijn voorstander van geverifieerde reviews Bedrijven kunnen reviews verzamelen via geautomatiseerde uitnodigingen. Deze reviews worden als geverifieerd bestempeld, omdat het evident is dat ze op echte ervaringen gebaseerd zijn. Lees meer over geverifieerde reviews. Wij bestrijden nepreviews Wij beveiligen ons platform met behulp van toegewijde specialisten en slimme technologieën. Lees meer over hoe wij nepreviews bestrijden . Wij tonen de meest recente reviews Lees meer over Trustpilots reviewproces . Wij moedigen constructieve feedback aan Hier vind je 8 tips voor het schrijven van een goede review . Wij verifiëren reviewers Verificatie helpt ervoor te zorgen dat echte mensen de reviews schrijven die je op Trustpilot ziet staan. Wij zijn tegen vooringenomenheid Beloningen aanbieden voor reviews of een slechts een bepaalde groep mensen vragen om een review te schrijven, kan de TrustScore beïnvloeden. Dit is in strijd met onze richtlijnen . Lees meer are you human? Kies land België Danmark Österreich Schweiz Deutschland Australia Canada United Kingdom Ireland New Zealand United States España Suomi Belgique België France Italia 日本 Norge Nederland Polska Brasil Portugal Sverige Over ons Over ons Werken bij Trustpilot Contact Blog Hoe Trustpilot te werk gaat Pers Investor relations Community Vertrouw in reviews Helpcentrum Inloggen Aanmelden Bedrijven Trustpilot Business Producten Pakketten & Tarieven Bedrijf Login Blog voor bedrijven Volg ons op Juridisch Privacybeleid Gebruikersvoorwaarden Richtlijnen voor reviewers Systeemstatus Modern Slavery Statement © 2026 Trustpilot A/S. Alle rechten voorbehouden.	2026-01-13T09:29:50
https://pdimagearchive.org/images/294553ed-c380-4e70-98d4-10b4d84731ae	‘Phonographic Literature for the Promenade’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… Phonographic Literature for the Promenade Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 811 x 936 Higher res available? Download Image Themes Technology The Future Tags phonographs walking inventions retrofuturism fashion The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://www.cisco.com/c/cs_cz/support/index.html	Podpora - Podpora společnosti Cisco a soubory ke stažení – dokumentace, nástroje a případy - Cisco Skip to Main Content Přeskočit na vyhledávání Skip to Footer Cisco.com Česká republika Produkty a služby Řešení Podpora Vzdělávání Objevte produkty Cisco Jak nakupovat Hlavní stránka partnerů Nový partnerský program Podpora Nástroje Vyhledat partnera společnosti Cisco Seznamte se s našimi partnery Staňte se partnerem společnosti Cisco Podpora a soubory ke stažení Hledat produkty a soubory ke stažení Helpful Links Licensing Support Technology Support Support for Cisco Acquisitions Support Tools Cisco Community When autocomplete results are available use up and down arrows to review and enter to select Moje podpora Open/View Cases K otevření nebo zobrazení případu potřebujete smlouvu o poskytování služeb Bot pro spojení s centrem technické podpory Získejte okamžité informace o svém případu v centru technické podpory a další informace Zobrazit otevřené případy Zalogovat Vytvořit účet Cisco Výhody účtu Cisco Software ke stažení Zalogovat Vytvořit účet Cisco Výhody účtu Cisco Všechna stažení softwaru Poslední zobrazené produkty Můj uložený obsah Zalogovat Nyní můžete ukládat dokumenty a další obsah pro budoucí použití. Přihlaste se , abyste viděli svůj Uložený Obsah. Váš názor Má zařízení Log in to view or manage your My Devices inventory Kontaktovat centrum technické podpory telefonicky Produkty pro podniky a poskytovatele služeb Česká republika 800 900 227 Telefonní čísla pro celý svět Produkty pro malé podniky Česká republika 800 900 212 Telefonní čísla pro celý svět Vracení Reklamační portál Produkty podle kategorií Přepínače Zabezpečení Směrovače Bezdrátové produkty Unified Communications Software pro sítě (IOS a NX-OS) Koncové body spolupráce a telefony Všechny podporované produkty Nástroje stavu Poradenství pro zabezpečení Portál zabezpečení Cisco poskytuje přínosné informace týkající se bezpečnostních hrozeb a chyb zabezpečení v produktech, a to nejen ve službách společnosti Cisco, ale také v produktech třetích stran. Důležitá oznámení Získávejte informace o všech důležitých problémech (kromě problémů týkajících se chyb zabezpečení), které se přímo týkají produktů společnosti Cisco a ve většině případů vyžadují upgrade, alternativní opravu či akci na straně zákazníka. Stav služby Cisco Cloud Zkontrolujte aktuální stav služeb a komponentů pro nabídky Cloudu Cisco Webex, zabezpečení a IoT. Bot pro spojení s centrem technické podpory Pro spojení s centrem technické podpory nabízí bot u stávajících případů zákazníkům a partnerům samoobslužný přístup k běžným dotazům na případy a k základním transakcím bez čekání ve frontě. Více nástrojů Analyzátor řešení spolupráce Sada nástrojů, která pomůže s každodenními úkoly v rámci vaší infrastruktury pro týmovou spolupráci. Cisco CLI Analyzer Cisco CLI Analyzer (dříve ASA CLI Analyzer) je inteligentní klient SSH s integrovanými interními nástroji TAC a znalostmi. Byl navržen tak, aby pomáhal řešit problémy týkající se vašeho softwaru podporovaného společností Cisco a aby kontroloval jeho celkový stav. Moje oznámení Funkce Moje oznámení umožňuje uživateli přihlásit se k odběru a přijímání oznámení týkajících se poradenství pro zabezpečení Cisco, oznámení o konci životnosti a také dalších důležitých oznámení a aktualizací softwaru a chyb pro specifické produkty a technologie Cisco. Zobrazit všechny nástroje Další podpora Podpora pro partnery Podpora produktů pro malé podniky Nezbytné podnikové služby Zákaznická zkušenost Podpora vývojářů DevNet Portál Cisco Trust Komunity společnosti Cisco Domovská stránka komunity společnosti Cisco Komunita partnerů Komunita podpory Small Business Komunita služby Webex Skupina uživatelů Cisco Insider Licence Tradiční licencování Generujte a spravujte licence založené na klíči PAK a další licence k zařízení, včetně ukázkových licencí. Chytré licencování softwaru Sledujte a spravujte licence pro inteligentní software. Smlouvy Enterprise Agreement Generujte a spravujte licence ze smluv Enterprise Agreement. Podpora licencí Řešte běžné problémy s licencemi sami. Software a soubory ke stažení Nástroj hledání chyb Vyhledejte softwarové chyby podle produktu, verze a klíčového slova. Vyhledávání softwaru Zobrazujte návrhy společnosti Cisco pro podporované produkty. Nástroj kontroly softwaru Cisco Používejte nástroj kontroly softwaru Cisco a vyhledávejte rady pro zabezpečení Cisco, které se týkají specifických verzí softwaru Cisco IOS, IOS XE, NX-OS a NX-OS v režimu ACI. Stáhnout software Cisco Získávejte nejnovější aktualizace, opravy a verze softwaru Cisco.	2026-01-13T09:29:50
https://ai.google.dev/api/models?hl=tr#method:-models.predictlongrunning	Models  \|  Gemini API  \|  Google AI for Developers Ana içeriğe atla / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Dokümanlar API referansı Gemini API Dokümanlar API referansı API anahtarı alma Tarif Defteri Topluluk Genel bakış API sürümleri İşlemler Modeller İçerik oluşturuluyor Canlı API Live Music API Interactions API Simgeler Dosyalar Toplu API Önbelleğe alma Yerleştirmeler Dosya arama Dosya arama mağazaları Doküman Tüm yöntemler Kullanımdan kaldırıldı PaLM (artık kaldırıldı) SDK referansları Python Go TypeScript Java C# Ana Sayfa Gemini API API referansı Geri bildirim gönderin Models Modeller uç noktası, kullanılabilir modelleri programatik olarak listelemenize ve desteklenen işlevler ile bağlam penceresi boyutlandırma gibi genişletilmiş meta verileri almanıza olanak tanır. Daha fazla bilgi için Modeller kılavuzunu inceleyin. Yöntem: models.get Uç nokta Yol parametreleri İstek metni Yanıt metni Yetkilendirme kapsamları Örnek istek Al Sürüm numarası, jeton sınırları, parametreler ve diğer meta veriler gibi belirli bir Model hakkında bilgi alır. Ayrıntılı model bilgileri için Gemini modelleri kılavuzuna bakın. Uç nokta get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} Yol parametreleri name string Zorunlu. Modelin kaynak adı. Bu ad, models.list yöntemi tarafından döndürülen bir model adıyla eşleşmelidir. Biçim: models/{model} models/{model} biçimindedir. İstek içeriği İstek metni boş olmalıdır. Örnek istek Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh Yanıt gövdesi Başarılıysa yanıt metni, Model öğesinin bir örneğini içerir. Yöntem: models.list Uç nokta Sorgu parametreleri İstek metni Yanıt metni JSON gösterimi Yetkilendirme kapsamları Örnek istek Listele Gemini API üzerinden kullanılabilen Model s listelenir. Uç nokta get https: / /generativelanguage.googleapis.com /v1beta /models Sorgu parametreleri pageSize integer Döndürülecek maksimum Models sayısı (sayfa başına). Belirtilmezse sayfa başına 50 model döndürülür. Bu yöntem, daha büyük bir pageSize iletmiş olsanız bile sayfa başına en fazla 1.000 model döndürür. pageToken string Önceki bir models.list çağrısından alınan sayfa jetonu. Bir istek tarafından döndürülen pageToken değerini, sonraki sayfayı almak için sonraki isteğe bağımsız değişken olarak iletin. Sayfalara ayırma işlemi yapılırken models.list öğesine sağlanan diğer tüm parametreler, sayfa jetonunu sağlayan çağrıyla eşleşmelidir. İstek içeriği İstek metni boş olmalıdır. Örnek istek Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh Yanıt gövdesi ListModel 'dan gelen ve Modellerin sayfalandırılmış listesini içeren yanıt. Başarılı olursa yanıt metni aşağıdaki yapıyla birlikte verileri içerir: Alanlar models[] object ( Model ) Döndürülen Modeller. nextPageToken string Sonraki sayfayı almak için pageToken olarak gönderilebilen bir jeton. Bu alan atlanırsa başka sayfa yoktur. JSON gösterimi { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } REST Kaynağı: modeller Kaynak: Model JSON gösterimi Yöntemler Kaynak: Model Üretken dil modeli hakkında bilgiler. Alanlar name string Zorunlu. Model öğesinin kaynak adı. İzin verilen tüm değerler için Model varyantları başlıklı makaleyi inceleyin. Biçim: models/{model} , {model} adlandırma kuralıyla: "{baseModelId}-{version}" Örnekler: models/gemini-1.5-flash-001 baseModelId string Zorunlu. Temel modelin adı. Bunu oluşturma isteğine iletin. Örnekler: gemini-1.5-flash version string Zorunlu. Modelin sürüm numarası. Bu, ana sürümü ( 1.0 veya 1.5 ) temsil eder. displayName string Modelin, kullanıcılar tarafından okunabilir adı. Örneğin, "Gemini 1.5 Flash". Ad en fazla 128 karakter uzunluğunda olabilir ve herhangi bir UTF-8 karakterinden oluşabilir. description string Modelin kısa bir açıklaması. inputTokenLimit integer Bu model için izin verilen maksimum giriş jetonu sayısı. outputTokenLimit integer Bu model için kullanılabilen maksimum çıkış jetonu sayısı. supportedGenerationMethods[] string Modelin desteklenen oluşturma yöntemleri. İlgili API yöntemi adları, generateMessage ve generateContent gibi Pascal büyük/küçük harf dizeleri olarak tanımlanır. thinking boolean Modelin düşünmeyi destekleyip desteklemediği. temperature number Çıkışın rastgeleliğini kontrol eder. Değerler [0.0,maxTemperature] arasında (bu değerler dahil) olabilir. Daha yüksek bir değer, daha çeşitli yanıtlar üretir. 0.0 değerine daha yakın bir değer ise genellikle modelden daha az şaşırtıcı yanıtlar alınmasını sağlar. Bu değer, modele çağrı yapılırken arka uç tarafından kullanılacak varsayılan değeri belirtir. maxTemperature number Bu modelin kullanabileceği maksimum sıcaklık. topP number Çekirdek örnekleme için. Çekirdek örnekleme, olasılık toplamı en az topP olan en küçük jeton grubunu dikkate alır. Bu değer, modele çağrı yapılırken arka uç tarafından kullanılacak varsayılan değeri belirtir. topK integer Top-k örnekleme için. Top-k örnekleme, topK en olası jeton kümesini dikkate alır. Bu değer, modele çağrı yapılırken arka uç tarafından kullanılacak varsayılan değeri belirtir. Boşsa modelin üst K örneklemesi kullanmadığını ve topK karakterinin oluşturma parametresi olarak kullanılmasına izin verilmediğini gösterir. JSON gösterimi { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } Yöntem: models.predict Uç nokta Yol parametreleri İstek metni JSON gösterimi Yanıt metni JSON gösterimi Yetkilendirme kapsamları Tahmin isteği gerçekleştirir. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict Yol parametreleri model string Zorunlu. Tahmin için modelin adı. Biçim: name=models/{model} . models/{model} biçimindedir. İstek içeriği İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar instances[] value ( Value format) Zorunlu. Tahmin çağrısına giriş olarak kullanılan örnekler. parameters value ( Value format) İsteğe bağlıdır. Tahmin çağrısını yöneten parametreler. Yanıt gövdesi [PredictionService.Predict] için yanıt mesajı. Başarılı olursa yanıt metni aşağıdaki yapıyla birlikte verileri içerir: Alanlar predictions[] value ( Value format) Tahmin çağrısının çıkışları. JSON gösterimi { "predictions" : [ value ] } Yöntem: models.predictLongRunning Uç nokta Yol parametreleri İstek metni JSON gösterimi Yanıt metni Yetkilendirme kapsamları models.predict ile aynıdır ancak LRO döndürür. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning Yol parametreleri model string Zorunlu. Tahmin için modelin adı. Biçim: name=models/{model} . İstek içeriği İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar instances[] value ( Value format) Zorunlu. Tahmin çağrısına giriş olarak kullanılan örnekler. parameters value ( Value format) İsteğe bağlıdır. Tahmin çağrısını yöneten parametreler. Yanıt gövdesi Başarılıysa yanıt metni, Operation öğesinin bir örneğini içerir. Geri bildirim gönderin Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları 'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır. Son güncelleme tarihi: 2025-12-16 UTC. Bize geri bildirimde bulunmak mı istiyorsunuz? 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https://www.notion.com/zh-tw/integrations/github	GitHub 整合 \| 將你的應用程式與 Notion連接 Notion 功能 Notion AI 建立、寫作、自動化代理程式處理手動任務企業版搜尋功能快速找到答案 AI 筆記寫手 AI 完美撰寫文件簡單好用且功能強大知識庫集中管理知識專案管理任意專案網站快速發布任何內容立即開始探索 AI 使用案例認識 Notion AI 的功能瀏覽 Marketplace 萬能範本查看整合連接 Notion 與你的應用程式下載網頁擷取器從網頁儲存到 Notion 試試 Notion 桌面版應用程式，享受更流暢的體驗下載應用程式郵件日曆 AI 企業定價探索團隊工程與產品設計行銷 IT 團隊規模新創公司中小企業企業教育學習幫助中心 Notion 學院客戶故事部落格社群合作夥伴計畫建立 API 範本安全性顧問要求產品示範登入免費取得 Notion ← 整合 GitHub 新增至 Notion Overview GitHub helps development teams and companies build, ship, and maintain their software. Use the power of Notion with GitHub to connect your workflows and help your teams collaborate in one place. Bring GitHub pull requests and issues directly into Notion with link previews. Use a synced database to bring full GitHub repositories into Notion as databases – and use database filters, views, rollups, and relations to create custom views for every team. Create GitHub Pull Request property inside your Notion databases to enable automatic updates of your tasks in Notion and help everyone stay on the same page. How to use To create a preview of GitHub content in Notion , paste any GitHub link into Notion, then select Paste as preview . You can also type /github in any Notion page and a menu will appear, allowing you to paste links directly To sync data from your GitHub repository into a Notion database , copy a GitHub link, paste it into Notion and select Paste as database . A new Notion database will appear, with all GitHub properties automatically added To link your GitHub pull requests to items in your Notion database , just add add a new property to your database using the + button at the top right and select GitHub Pull Requests . The integration will automatically update the status of your tasks in Notion based on the GitHub pull request status Learn more about Notion's GitHub integration 製作者： Notion 類別工程功能連結預覽同步資料庫開發者連結網站條款 / 隱私權電子郵件支援回報問題在此提及的所有第三方商標（含標誌和圖示）皆為各自擁有者的財產。除非特別標明「使用 Notion 製作」，否則 Notion 不負責整合的支援和維護服務。整合所連接的第三方產品或服務將被視為「非 Notion 應用程式」（定義請見 Notion 的主要訂閱協議或個人使用條款，如適用）。如啟用整合或使用 Notion 整合庫，即代表你同意 Notion 的整合庫條款 . 更多整合 PortalWith Create Client Portal with Notion STR Desk Sync Vacation Rental data with Notion in seconds VECTOR AI Your AI Partner Emon Sync Outlook Emails to Notion Notixel Automate your data flow between Notion and Microsoft Excel. neuforms the most affordable typeform alternative to build forms 繁體中文 Cookie 設定 © 2026 Notion Labs, Inc. 公司關於我們職涯安全性狀態條款和隱私權你的隱私權下載 iOS 與 Android Mac 和 Windows 日曆網頁擷取器資源幫助中心定價部落格社群整合範本合作夥伴計畫 Notion，適用於企業小型企業個人探索更多功能 →	2026-01-13T09:29:50
https://ai.google.dev/gemini-api/docs/api-versions?hl=ar	شرح إصدارات واجهة برمجة التطبيقات  \|  Gemini API  \|  Google AI for Developers التخطّي إلى المحتوى الرئيسي / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 الحصول على مفتاح واجهة برمجة التطبيقات كتاب الطبخ منتدى تسجيل الدخول المستندات مرجع واجهة برمجة التطبيقات Gemini API المستندات مرجع واجهة برمجة التطبيقات الحصول على مفتاح واجهة برمجة التطبيقات كتاب الطبخ منتدى نظرة عامة إصدارات واجهة برمجة التطبيقات الإمكانات الطرُز جارٍ إنشاء المحتوى واجهة برمجة التطبيقات للبث المباشر Live Music API واجهة برمجة التطبيقات Interactions API الرموز المميزة الملفات Batch API تخزين مؤقت التضمينات البحث عن ملف متاجر البحث عن الملفات مستند جميع الطرق منهي العمل به PaLM (تم إيقافه) مراجع حِزم تطوير البرامج (SDK) Python Go TypeScript Java C# الصفحة الرئيسية Gemini API مرجع واجهة برمجة التطبيقات إرسال ملاحظات شرح إصدارات واجهة برمجة التطبيقات لقد عدّلنا بنود الخدمة . يقدّم هذا المستند نظرة عامة شاملة على الاختلافات بين الإصدارَين v1 و v1beta من Gemini API. v1 : إصدار ثابت من واجهة برمجة التطبيقات تتوفّر الميزات في الإصدار الثابت بشكل كامل طوال فترة توفّر الإصدار الرئيسي. في حال حدوث أي تغييرات غير متوافقة مع الإصدارات السابقة، سيتم إنشاء الإصدار الرئيسي التالي من واجهة برمجة التطبيقات وسيتم إيقاف الإصدار الحالي بعد فترة زمنية معقولة. قد يتم إدخال تغييرات غير متوافقة مع الإصدارات السابقة إلى واجهة برمجة التطبيقات بدون تغيير الإصدار الرئيسي. v1beta : يتضمّن هذا الإصدار ميزات مبكرة قد تكون قيد التطوير وقد تخضع لتغييرات غير متوافقة مع الإصدارات السابقة. ليس هناك أيضًا ما يضمن نقل الميزات في الإصدار التجريبي إلى الإصدار الثابت. إذا كنت بحاجة إلى الاستقرار في بيئة الإنتاج ولا يمكنك المخاطرة بإجراء تغييرات غير متوافقة مع الإصدارات السابقة، عليك عدم استخدام هذا الإصدار في بيئة الإنتاج. الميزة v1 v1beta إنشاء محتوى - إدخال نص فقط إنشاء محتوى - إدخال نص وصورة إنشاء محتوى - إخراج النص إنشاء محتوى - محادثات متعدّدة الجولات (محادثة) إنشاء المحتوى - طلبات الدوال إنشاء محتوى - البث تضمين المحتوى - إدخال نص فقط إنشاء إجابة أداة استرجاع دلالية واجهة Interactions API ‫ - متوافق ‫ - لن يكون متاحًا أبدًا ضبط إصدار واجهة برمجة التطبيقات في حزمة تطوير البرامج (SDK) يتم ضبط الإصدار التلقائي من حزمة تطوير البرامج (SDK) الخاصة بواجهة Gemini API على v1beta ، ولكن يمكنك اختيار استخدام إصدارات أخرى من خلال ضبط إصدار واجهة برمجة التطبيقات كما هو موضّح في نموذج الرمز البرمجي التالي: Python from google import genai client = genai . Client ( http_options = { 'api_version' : 'v1alpha' }) response = client . models . generate_content ( model = 'gemini-2.0-flash' , contents = "Explain how AI works" , ) print ( response . text ) JavaScript import { GoogleGenAI } from "@google/genai" ; const ai = new GoogleGenAI ({ httpOptions : { apiVersion : "v1alpha" }, }); async function main () { const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Explain how AI works" , }); console . log ( response . text ); } await main (); REST curl "https://generativelanguage.googleapis.com/v1/models/gemini-1.5-flash:generateContent" \ -H "x-goog-api-key: $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works."}] }] }' إرسال ملاحظات إنّ محتوى هذه الصفحة مرخّص بموجب ترخيص Creative Commons Attribution 4.0‏ ما لم يُنصّ على خلاف ذلك، ونماذج الرموز مرخّصة بموجب ترخيص Apache 2.0‏ . للاطّلاع على التفاصيل، يُرجى مراجعة سياسات موقع Google Developers‏ . إنّ Java هي علامة تجارية مسجَّلة لشركة Oracle و/أو شركائها التابعين. تاريخ التعديل الأخير: 2025-12-18 (حسب التوقيت العالمي المتفَّق عليه) هل تريد مشاركة ملاحظاتك معنا؟ [[["يسهُل فهم المحتوى.","easyToUnderstand","thumb-up"],["ساعَدني المحتوى في حلّ مشكلتي.","solvedMyProblem","thumb-up"],["غير ذلك","otherUp","thumb-up"]],[["لا يحتوي على المعلومات التي أحتاج إليها.","missingTheInformationINeed","thumb-down"],["الخطوات معقدة للغاية / كثيرة جدًا.","tooComplicatedTooManySteps","thumb-down"],["المحتوى قديم.","outOfDate","thumb-down"],["ثمة مشكلة في الترجمة.","translationIssue","thumb-down"],["مشكلة في العيّنات / التعليمات البرمجية","samplesCodeIssue","thumb-down"],["غير ذلك","otherDown","thumb-down"]],["تاريخ التعديل الأخير: 2025-12-18 (حسب التوقيت العالمي المتفَّق عليه)"],[],[]] البنود الخصوصية Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://www.cisco.com/site/kr/ko/products/networking/wireless/index.html	무선 네트워크, Wi-Fi 네트워킹 및 모빌리티 솔루션 - Cisco Skip to main content Skip to search Skip to footer Cisco.com 한국 제품 및 서비스 Close 솔루션 Close 지원 Close 학습 Close 시스코를 선택해야 하는 이유 Close 파트너 Close 시스코 살펴보기 구매 방법 파트너 KO KR 로그인 시스코 살펴보기 검색 메뉴 닫기 구매 방법 파트너 로그인 KO KR Close Close Close Close Close 제품 네트워킹 시스코 무선 및 모빌리티 바로 지금 경험하는 무선 네트워크의 미래 하이브리드 환경에서는 더 유능한 무선 솔루션이 필요합니다. 지금 더 빠른 속도와 네트워크 보안을 적용하고, 더 쉬운 관리를 시작하세요. 개요 리소스 완전히 새로워진 네트워크 01:21 내일을 향한 새로운 길을 선도하세요. 원하는 방식으로 운영이 가능합니다. 무선 네트워크를 업그레이드하고 더 빠른 속도와 강력한 보안을 경험하세요. AI/ML 인텔리전스 인공 지능 및 머신러닝으로 실시간 인사이트를 확보함으로써 네트워크를 최적화하고 효율성을 높일 수 있습니다. 잠들지 않는 보안 상시 네트워크 모니터링이 이루어지므로 안심하세요. 어떤 디바이스와도 연결 IoT 디바이스 분류, 세그멘테이션, 가시성, 관리 기능으로 완전한 Wi-Fi 6/6E 연결을 경험하세요. 예기치 못한 상황에 대비 더 업그레이드된 무선 네트워크를 손쉽게 구축하세요. 그 과정에서 어떤 뜻밖의 상황도 문제 없이 해결할 수 있습니다. 새로운 무선 경험 시작 액세스 포인트 실내 액세스 포인트 직원과 게스트 사용자 모두 빠르고 안전하게 Wi-Fi 6/6E 네트워크에 연결할 수 있습니다. 실내 액세스 포인트 살펴보기 실외 및 산업용 액세스 포인트 어디서나 Wi-Fi 네트워크 액세스를 제공하세요. 실외 및 산업용 액세스 포인트 살펴보기 클라우드 매니지드 액세스 포인트 Cisco Meraki에서 제로 터치 구축, 혁신적인 관리, 풀스택 가시성의 이점을 누리세요. 클라우드 매니지드 액세스 포인트 살펴보기 컨트롤러 없는 액세스 포인트 시스코의 임베디드 무선 컨트롤러를 사용하여 중소기업 네트워크에서도 간편한 엔터프라이즈급 액세스 기능을 제공하세요. 컨트롤러 없는 액세스 포인트 살펴보기 모든 액세스 포인트 살펴보기 무선 컨트롤러 무선 컨트롤러 인텔리전스 기반 무선 컨트롤러로 새로운 차원의 관리 기능을 구현하세요. 무선 컨트롤러 보기 무선 제품 모두 보기 네트워크 관리 Cisco Catalyst Center 더 강력한 성능으로 네트워크를 관리하면서 시간도 단축하세요. Cisco Catalyst Center 살펴보기 Cisco Meraki 플랫폼 Meraki 클라우드 퍼스트 플랫폼에서 원격으로 무선 네트워크를 구성하고 관리하세요. Cisco Meraki 살펴보기 어떤 조직에도 적합한 솔루션 온보딩부터 액세스까지 책임지는, 귀사의 무선 네트워크를 위한 솔루션이 있습니다. 모든 무선 솔루션 보기 귀사를 위한 맞춤형 제안 보기 사용자 정의 네트워크 공유 무선 네트워크의 개별 권한을 사용자에게 제공하세요. 사용자 정의 네트워크 탐구 액세스 네트워킹 언제 어디서나 네트워크 경험을 간소화, 자동화, 보호하세요. 액세스 네트워킹 탐구 위치 기반 서비스 사람과 사물의 행동에 관한 인사이트를 바탕으로 더 현명한 의사결정을 수행하세요. Cisco Spaces 탐구 끊김 없는 로밍 OpenRoaming 기술을 통해 안전하고 빈틈없는 자동 온보딩 기능을 사용해보세요. OpenRoaming 탐구 Previous Next 서비스 및 지원 Cisco Success Tracks IT 가치 실현 가속화 디지털 인사이트와 서비스 전문성으로 무선 소프트웨어에서 최고의 가치를 누리면서 더 빨리 성과를 낼 수 있습니다. Cisco Success Tracks 살펴보기 Business Critical Services 비즈니스 도약의 발판 애널리틱스 기반 자문 서비스를 통해 최신 IT 환경을 더 빨리 구축할 수 있습니다. Business Critical Services 살펴보기 최적의 제품 더 빨리 찾기 네트워킹이 쉬워집니다. 귀사의 네트워킹 요구 사항을 알려주시면 적합한 액세스 포인트 및 컨트롤러를 추천해드립니다. 제품 선택기로 이동 안녕하세요. 무엇을 도와드릴까요? Trials and Demos --> 빠른 링크 회사 소개 시스코 상담 신청 채용 정보 파트너와 연결 리소스 및 법적 고지 피드백 도움말 약관 개인 정보 보호 정책 쿠키 상표 공급망 투명성 사이트맵 © Cisco Systems, Inc.	2026-01-13T09:29:50
https://www.atlassian.com/zh/software/jira/service-management/enterprise	Jira Service Management Cloud Enterprise \| Atlassian 跳至内容功能定价解决方案按用例划分 IT 支持 IT 运营业务团队客户服务人力资源按能力划分小型团队 Premium Enterprise 按行业划分科技和电信金融服务零售生产制造资源按类型划分 ITSM 指南其他资源展开 + 免费获取免费获取返回免费获取功能定价解决方案资源登录按用例划分 IT 支持 IT 运营业务团队客户服务人力资源按能力划分小型团队 Premium Enterprise 按行业划分科技和电信金融服务零售生产制造按类型划分 ITSM 指南其他资源免费获取功能定价解决方案资源登录按用例划分 IT 支持 IT 运营业务团队客户服务人力资源按能力划分小型团队 Premium Enterprise 按行业划分科技和电信金融服务零售生产制造按类型划分 ITSM 指南其他资源 Jira Service Management 作为 Service Collection 的一部分，如今比以往任何时候都更强大。借助 Rovo、资产及全新的 Customer Service Management 应用，打造卓越的服务体验。立即试用将 Jira Service Management 提升到更高的层次 Jira Service Management Enterprise 是我们最先进的云计划，支持安全、高效的大规模团队合作。联系销售人员将企业规模转化为企业机会通过 Jira Service Management Enterprise 获得高级安全性、可扩展性、分析和合规性功能。安全性规模分析合规性无缝验证用户身份利用 Guard Standard 实现集中式可见性、审核以及身份和访问管理。整合用户管理连接多个身份提供程序，实现自动化用户管理，以管理不同部门和地区。阻止影子 IT 使用应用请求来审查和批准新站点的请求。查看所有功能和定价资源探索 Atlassian Guard 了解 Guard 如何帮助集中管理整个 Atlassian Cloud 的安全性和可见性。了解更多了解 Cloud Enterprise 安全保护的实际应用了解如何通过 Cloud Enterprise 中的安全控制措施来缓解风险。观看网络研讨会大体了解 Cloud Enterprise 探索 Cloud Enterprise 的功能，例如影子 IT 控制。观看演示优化您不断发展的足迹为新的团队和部门设置多个站点，而不影响其他工作流。无缝管理您的组织使用集中式管理和计费方式来管理用户和产品，并为每个用户的每个产品支付一次费用。改进变更管理流程按照行业标准，为每个站点使用多个沙盒环境，以实现更安全的变更管理和并行测试。查看所有功能和定价资源了解有关 Cloud Enterprise 的更多信息了解 Cloud Enterprise 如何帮助组织扩大规模。下载指南探索多站点架构了解客户如何使用多个站点来提高灵活性和控制力获取电子书了解 Atlassian 管理的实际应用观看 Cloud Enterprise 中规模控制的演示。观看演示连接整个工具链中的数据在 Atlassian Data Lake 中统一第一方和第三方开发人员数据。推动数据驱动的决策监控变更、事件和请求管理指标，以减少服务障碍，利用人工智能洞察信息采取行动。扩充您的 Jira Service Management 数据将 Atlassian 数据引入您自己的环境或商业智能工具。查看所有功能和定价资源加快大规模决策借助开箱即用的模板和自定义数据分析实现数据可视化。了解更多观看 DISH Network 如何借助 Cloud Enterprise 取胜了解像您这样的团队如何使用 Atlassian Analytics 来释放价值。观看录像了解如何提升决策水平通过 Atlassian Analytics 提取可执行的洞察信息，改善协作并推动业务成果达成。观看网络研讨会驾驭全球合规环境凭借区域和行业特定的合规标准，满怀信心地进入新市场。查看所有功能和定价资源深入了解 Cloud Enterprise 详细了解 Cloud Enterprise 的独特之处。下载指南探索我们的 Trust Center 了解 Atlassian 的合规方法。了解更多看看 Finoa 为什么选择 Cloud Enterprise 了解 Finoa 如何使用 Cloud Enterprise 来遵守合规标准。阅读他们的案例高级支持让您万无一失高级支持人员全天候支持电话支持针对关键事务提供 30 分钟响应时效保障深受 80% 以上财富 500 强企业的信赖浏览所有客户案例 “ Jira Service Management 中的自动化通知、SLA 监控和主动警报，都帮助 Riverty 进一步改进了客户支持流程。 ” Andrei Tuch Atlassian 产品负责人阅读 Riverty 的故事 “ 我们发现，通过集中使用 Atlassian Cloud 并增加治理功能，我们每年可以在工具上节省 250 万美元。这相当于每年节省 36％的成本。这一过程将涉及减少工具间的重复席位 [并] 实施更多的治理。 ” Emily Novak 数字化工作区和解决方案产品经理阅读 Rivian 的故事 “ 无需任何额外成本即可创建多个站点，这既能出于安全考虑对数据进行隔离，又能通过同一解决方案满足多种用例需求，完全契合我们整合应用环境的理念。 ” Radoslav Danchev 协作、工作场所和支持部门副总裁阅读 Software AG 的故事需要高级安全防护吗？ Atlassian Guard Premium 提供了一层额外的安全保护屏障，这样您便可以及时阻止威胁，以防其成为事件。详细了解 Atlassian Guard Premium 还没准备好使用 Enterprise？ Jira Service Management Premium 提供资产管理、高级事件管理等功能，但不具备 Enterprise 版的可扩展性和控制能力。详细了解 Premium 利用 Jira Service Management Enterprise 提高您的竞争优势联系销售人员公司诚聘英才活动博文投资者关系 Atlassian 基金会新闻资料袋联系我们产品 Rovo Jira Jira Align Jira Service Management Confluence Loom Trello Bitbucket 查看全部产品资源技术支持购买和许可 Atlassian 社区知识库 Marketplace 我的帐户创建支持工作单学习合作伙伴培训和认证文档开发人员资源企业服务查看全部资源 Copyright © 2026 Atlassian 隐私政策收集时发出通知条款 Impressum 中文 ▾	2026-01-13T09:29:50
https://ai.google.dev/gemini-api/docs/api-versions?hl=bn	API সংস্করণ ব্যাখ্যা করা হয়েছে  \|  Gemini API  \|  Google AI for Developers সরাসরি আসল কন্টেন্টে যান / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 API কী পান রান্নার বই কমিউনিটি সাইন-ইন করুন ডক্স API রেফারেন্স Gemini API ডক্স API রেফারেন্স API কী পান রান্নার বই কমিউনিটি ওভারভিউ API সংস্করণ ক্ষমতা মডেল সামগ্রী তৈরি করা হচ্ছে লাইভ API লাইভ মিউজিক API ইন্টারঅ্যাকশন API টোকেন নথি পত্র ব্যাচ API ক্যাশিং এম্বেডিং ফাইল অনুসন্ধান ফাইল অনুসন্ধানের দোকান দলিল সমস্ত পদ্ধতি অবচয় PaLM (পচনশীল) SDK রেফারেন্স Python Go টাইপস্ক্রিপ্ট Java C# এই পৃষ্ঠাটি Cloud Translation API অনুবাদ করেছে। হোম Gemini API API রেফারেন্স মতামত জানান API সংস্করণ ব্যাখ্যা করা হয়েছে আমরা আমাদের পরিষেবার শর্তাবলী আপডেট করেছি। এই ডকুমেন্টটি জেমিনি API-এর v1 এবং v1beta সংস্করণের মধ্যে পার্থক্যগুলির একটি উচ্চ-স্তরের ওভারভিউ প্রদান করে। v1 : API-এর স্থিতিশীল সংস্করণ। স্থিতিশীল সংস্করণের বৈশিষ্ট্যগুলি প্রধান সংস্করণের জীবদ্দশায় সম্পূর্ণরূপে সমর্থিত। যদি কোনও ভঙ্গুর পরিবর্তন হয়, তাহলে API-এর পরবর্তী ভার্সনটি তৈরি করা হবে এবং যুক্তিসঙ্গত সময়ের পরে বিদ্যমান ভার্সনটি অবচিত করা হবে। প্রধান ভার্সনটি পরিবর্তন না করেই API-তে অ-ভঙ্গুর পরিবর্তনগুলি প্রবর্তন করা যেতে পারে। v1beta : এই সংস্করণে প্রাথমিক বৈশিষ্ট্যগুলি রয়েছে যা বিকাশাধীন হতে পারে এবং কিছু পরিবর্তনের সম্ভাবনা রয়েছে। বিটা সংস্করণের বৈশিষ্ট্যগুলি স্থিতিশীল সংস্করণে স্থানান্তরিত হবে এমন কোনও গ্যারান্টিও নেই। যদি আপনার উৎপাদন পরিবেশে স্থিতিশীলতার প্রয়োজন হয় এবং পরিবর্তনগুলি ভঙ্গ করার ঝুঁকি নিতে না পারেন, তাহলে আপনার উৎপাদনে এই সংস্করণটি ব্যবহার করা উচিত নয়। বৈশিষ্ট্য v1 সম্পর্কে v1beta সম্পর্কে কন্টেন্ট তৈরি করুন - শুধুমাত্র টেক্সট ইনপুট কন্টেন্ট তৈরি করুন - টেক্সট-এবং-ছবি ইনপুট কন্টেন্ট তৈরি করুন - টেক্সট আউটপুট কন্টেন্ট তৈরি করুন - বহুমুখী কথোপকথন (চ্যাট) কন্টেন্ট তৈরি করুন - ফাংশন কল কন্টেন্ট তৈরি করুন - স্ট্রিমিং কন্টেন্ট এম্বেড করুন - শুধুমাত্র টেক্সট ইনপুট উত্তর তৈরি করুন শব্দার্থিক উদ্ধারকারী ইন্টারঅ্যাকশন API - সমর্থিত - কখনোই সমর্থন করা হবে না একটি SDK-তে API সংস্করণ কনফিগার করুন Gemini API SDK এর ডিফল্ট সংস্করণ v1beta , তবে আপনি নিম্নলিখিত কোড নমুনায় দেখানো API সংস্করণটি সেট করে অন্যান্য সংস্করণ ব্যবহার করতে পারেন: পাইথন from google import genai client = genai . Client ( http_options = { 'api_version' : 'v1alpha' }) response = client . models . generate_content ( model = 'gemini-2.0-flash' , contents = "Explain how AI works" , ) print ( response . text ) জাভাস্ক্রিপ্ট import { GoogleGenAI } from "@google/genai" ; const ai = new GoogleGenAI ({ httpOptions : { apiVersion : "v1alpha" }, }); async function main () { const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Explain how AI works" , }); console . log ( response . text ); } await main (); বিশ্রাম curl "https://generativelanguage.googleapis.com/v1/models/gemini-1.5-flash:generateContent" \ -H "x-goog-api-key: $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works."}] }] }' মতামত জানান অন্য কিছু উল্লেখ না করা থাকলে, এই পৃষ্ঠার কন্টেন্ট Creative Commons Attribution 4.0 License -এর অধীনে এবং কোডের নমুনাগুলি Apache 2.0 License -এর অধীনে লাইসেন্স প্রাপ্ত। আরও জানতে, Google Developers সাইট নীতি দেখুন। Java হল Oracle এবং/অথবা তার অ্যাফিলিয়েট সংস্থার রেজিস্টার্ড ট্রেডমার্ক। 2025-12-18 UTC-তে শেষবার আপডেট করা হয়েছে। আমাদের আরও কিছু জানাতে চান? [[["সহজে বোঝা যায়","easyToUnderstand","thumb-up"],["আমার সমস্যার সমাধান হয়েছে","solvedMyProblem","thumb-up"],["অন্যান্য","otherUp","thumb-up"]],[["এতে আমার প্রয়োজনীয় তথ্য নেই","missingTheInformationINeed","thumb-down"],["খুব জটিল / অনেক ধাপ","tooComplicatedTooManySteps","thumb-down"],["পুরনো","outOfDate","thumb-down"],["অনুবাদ সংক্রান্ত সমস্যা","translationIssue","thumb-down"],["নমুনা / কোড সংক্রান্ত সমস্যা","samplesCodeIssue","thumb-down"],["অন্যান্য","otherDown","thumb-down"]],["2025-12-18 UTC-তে শেষবার আপডেট করা হয়েছে।"],[],[]] শর্তাবলী গোপনীয়তা Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://www.notion.com/th/integrations/github	การผสานการทำงาน GitHub \| เชื่อมต่อแอพของคุณกับ Notion Notion ฟีเจอร์ Notion AI สร้าง เขียน ทำให้เป็นอัตโนมัติ เอเจนต์ จัดการงานที่ต้องทำเอง Enterprise Search ค้นหาคำตอบทันที AI Meeting Notes ให้ AI ช่วยเขียนได้อย่างเพอร์เฟ็กต์ เอกสาร เรียบง่ายและทรงพลัง ฐานความรู้ แหล่งรวมความรู้ของคุณ โปรเจ็กต์ จัดการโปรเจ็กต์ ไซต์ เผยแพร่ทุกอย่างได้ทันใจ เริ่มต้นใช้งาน สำรวจกรณีการใช้งาน AI ดูว่า Notion AI ทำอะไรได้บ้าง เลือกดูมาร์เก็ตเพลส เทมเพลตสำหรับทุกอย่าง ดูการรวมระบบ เชื่อมต่อแอพของคุณกับ Notion ดาวน์โหลด Web Clipper บันทึกจากเว็บมายัง Notion ลองใช้แอพ Notion บนเดสก์ท็อปเลย จะได้สัมผัสประสบการณ์ที่เร็วกว่าเดิม ดาวน์โหลดแอพ อีเมล ปฏิทิน AI Enterprise ราคา สำรวจ ทีม วิศวกรรมและผลิตภัณฑ์ การออกแบบ การตลาด IT ขนาดทีม สตาร์ทอัพ SMBs Enterprise การศึกษา เรียนรู้ ศูนย์ช่วยเหลือ Notion Academy เรื่องราวของลูกค้า บล็อก ชุมชน โปรแกรมพาร์ทเนอร์ สร้าง API เทมเพลต การรักษาความปลอดภัย ที่ปรึกษา ขอรับการสาธิต เข้าสู่ระบบ ใช้ Notion ฟรี ← การผสานการทำงาน GitHub เพิ่มไปที่ Notion Overview GitHub helps development teams and companies build, ship, and maintain their software. Use the power of Notion with GitHub to connect your workflows and help your teams collaborate in one place. Bring GitHub pull requests and issues directly into Notion with link previews. Use a synced database to bring full GitHub repositories into Notion as databases – and use database filters, views, rollups, and relations to create custom views for every team. Create GitHub Pull Request property inside your Notion databases to enable automatic updates of your tasks in Notion and help everyone stay on the same page. How to use To create a preview of GitHub content in Notion , paste any GitHub link into Notion, then select Paste as preview . You can also type /github in any Notion page and a menu will appear, allowing you to paste links directly To sync data from your GitHub repository into a Notion database , copy a GitHub link, paste it into Notion and select Paste as database . A new Notion database will appear, with all GitHub properties automatically added To link your GitHub pull requests to items in your Notion database , just add add a new property to your database using the + button at the top right and select GitHub Pull Requests . The integration will automatically update the status of your tasks in Notion based on the GitHub pull request status Learn more about Notion's GitHub integration สร้างโดย Notion หมวดหมู่ Engineering ฟีเจอร์ ตัวอย่างลิงค์ ฐานข้อมูลที่ซิงค์แล้ว ลิงค์สำหรับนักพัฒนา เว็บไซต์ ข้อกำหนด/ความเป็นส่วนตัว ส่งอีเมลถึงฝ่ายสนับสนุน รายงานปัญหา เครื่องหมายการค้าของบุคคลที่ 3 ทั้งหมด (รวมถึงโลโก้และไอคอน) ที่แสดงในที่นี้เป็นทรัพย์สินของเจ้าของที่เกี่ยวข้อง Notion ไม่รองรับหรือดูแลการผสานการทำงาน เว้นแต่จะระบุอย่างชัดเจนว่าสร้างโดย Notion (Made by Notion) ผลิตภัณฑ์หรือบริการของบุคคลที่ 3 ที่เชื่อมต่อเป็นแอพพลิเคชันที่ไม่ใช่ของ Notion (ตามที่กำหนดไว้ใน ข้อตกลงการสมัครใช้บริการฉบับหลัก หรือ เงื่อนไขการใช้งานส่วนบุคคล ตามความเกี่ยวข้อง) การเปิดใช้งานการผสานการทำงานหรือใช้แกลเลอรีผสานการทำงานของ Notion ถือเป็นการยอมรับ เงื่อนไขของแกลเลอรีการผสานการทำงาน . การผสานการทำงานเพิ่มเติม PortalWith Create Client Portal with Notion STR Desk Sync Vacation Rental data with Notion in seconds VECTOR AI Your AI Partner Emon Sync Outlook Emails to Notion Notixel Automate your data flow between Notion and Microsoft Excel. neuforms the most affordable typeform alternative to build forms ภาษาไทย การตั้งค่าคุกกี้ © 2026 Notion Labs, Inc. บริษัท เกี่ยวกับเรา ร่วมงานกับเรา ความปลอดภัย สถานะ เงื่อนไขและความเป็นส่วนตัว สิทธิความเป็นส่วนตัวของคุณ ดาวน์โหลด iOS และ Android Mac และ Windows ปฏิทิน Web Clipper แหล่งข้อมูล ศูนย์ช่วยเหลือ ราคา บล็อก ชุมชน การรวมระบบ เทมเพลต โปรแกรมพาร์ทเนอร์ Notion สำหรับ Enterprise ธุรกิจขนาดเล็ก ส่วนตัว สำรวจเพิ่ม →	2026-01-13T09:29:50
https://www.facebook.com/sharer/sharer.php?u=https://aws.amazon.com/blogs/storage/modernizing-nascars-multi-pb-media-archive-at-speed-with-aws-storage/	Facebook Facebook 이메일 또는 휴대폰 비밀번호 계정을 잊으셨나요? 새 계정 만들기 일시적으로 차단됨 일시적으로 차단됨 회원님의 이 기능 사용 속도가 너무 빠른 것 같습니다. 이 기능 사용에서 일시적으로 차단되었습니다. Back 한국어 English (US) Tiếng Việt Bahasa Indonesia ภาษาไทย Español 中文(简体) 日本語 Português (Brasil) Français (France) Deutsch 가입하기 로그인 Messenger Facebook Lite 동영상 Meta Pay Meta 스토어 Meta Quest Ray-Ban Meta Meta AI Meta AI 콘텐츠 더 보기 Instagram Threads 투표 정보 센터 개인정보처리방침 개인정보 보호 센터 정보 광고 만들기 페이지 만들기 개발자 채용 정보 쿠키 AdChoices 이용 약관 고객 센터 연락처 업로드 및 비사용자 설정 활동 로그 Meta © 2026	2026-01-13T09:29:50
https://ai.google.dev/api/models#body.PATH_PARAMETERS	Models  \|  Gemini API  \|  Google AI for Developers Skip to main content / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 Get API key Cookbook Community Sign in Docs API reference Gemini API Docs API reference Get API key Cookbook Community Overview API versions Capabilities Models Generating content Live API Live Music API Interactions API Tokens Files Batch API Caching Embeddings File search File search stores Document All methods Deprecated PaLM (decomissioned) SDK references Python Go TypeScript Java C# Home Gemini API API reference Send feedback Models The models endpoint provides a way for you to programmatically list the available models, and retrieve extended metadata such as supported functionality and context window sizing. Read more in the Models guide . Method: models.get Endpoint Path parameters Request body Response body Authorization scopes Example request Get Gets information about a specific Model such as its version number, token limits, parameters and other metadata. Refer to the Gemini models guide for detailed model information. Endpoint get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} Path parameters name string Required. The resource name of the model. This name should match a model name returned by the models.list method. Format: models/{model} It takes the form models/{model} . Request body The request body must be empty. Example request Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go Shell curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh Response body If successful, the response body contains an instance of Model . Method: models.list Endpoint Query parameters Request body Response body JSON representation Authorization scopes Example request List Lists the Model s available through the Gemini API. Endpoint get https: / /generativelanguage.googleapis.com /v1beta /models Query parameters pageSize integer The maximum number of Models to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger pageSize. pageToken string A page token, received from a previous models.list call. Provide the pageToken returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to models.list must match the call that provided the page token. Request body The request body must be empty. Example request Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go Shell curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh Response body Response from ListModel containing a paginated list of Models. If successful, the response body contains data with the following structure: Fields models[] object ( Model ) The returned Models. nextPageToken string A token, which can be sent as pageToken to retrieve the next page. If this field is omitted, there are no more pages. JSON representation { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } REST Resource: models Resource: Model JSON representation Methods Resource: Model Information about a Generative Language Model. Fields name string Required. The resource name of the Model . Refer to Model variants for all allowed values. Format: models/{model} with a {model} naming convention of: "{baseModelId}-{version}" Examples: models/gemini-1.5-flash-001 baseModelId string Required. The name of the base model, pass this to the generation request. Examples: gemini-1.5-flash version string Required. The version number of the model. This represents the major version ( 1.0 or 1.5 ) displayName string The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. description string A short description of the model. inputTokenLimit integer Maximum number of input tokens allowed for this model. outputTokenLimit integer Maximum number of output tokens available for this model. supportedGenerationMethods[] string The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as generateMessage and generateContent . thinking boolean Whether the model supports thinking. temperature number Controls the randomness of the output. Values can range over [0.0,maxTemperature] , inclusive. A higher value will produce responses that are more varied, while a value closer to 0.0 will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. maxTemperature number The maximum temperature this model can use. topP number For Nucleus sampling . Nucleus sampling considers the smallest set of tokens whose probability sum is at least topP . This value specifies default to be used by the backend while making the call to the model. topK integer For Top-k sampling. Top-k sampling considers the set of topK most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and topK isn't allowed as a generation parameter. JSON representation { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } Method: models.predict Endpoint Path parameters Request body JSON representation Response body JSON representation Authorization scopes Performs a prediction request. Endpoint post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict Path parameters model string Required. The name of the model for prediction. Format: name=models/{model} . It takes the form models/{model} . Request body The request body contains data with the following structure: Fields instances[] value ( Value format) Required. The instances that are the input to the prediction call. parameters value ( Value format) Optional. The parameters that govern the prediction call. Response body Response message for [PredictionService.Predict]. If successful, the response body contains data with the following structure: Fields predictions[] value ( Value format) The outputs of the prediction call. JSON representation { "predictions" : [ value ] } Method: models.predictLongRunning Endpoint Path parameters Request body JSON representation Response body Authorization scopes Same as models.predict but returns an LRO. Endpoint post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning Path parameters model string Required. The name of the model for prediction. Format: name=models/{model} . Request body The request body contains data with the following structure: Fields instances[] value ( Value format) Required. The instances that are the input to the prediction call. parameters value ( Value format) Optional. The parameters that govern the prediction call. Response body If successful, the response body contains an instance of Operation . Send feedback Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Last updated 2025-10-30 UTC. Need to tell us more? 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MiniMax M2 OpenAI Overview OpenAI gpt-oss-120b OpenAI gpt-oss-20b Qwen Overview Qwen 3 Next Instruct 80B Qwen 3 Next Thinking 80B Qwen 3 Coder Qwen 3 235B ZAI.org Overview GLM 4.7 Managed open models (MaaS) Overview Use open models via Model as a Service (MaaS) Grant access to open models API Call MaaS APIs for open models Function calling Thinking Structured output Batch prediction Self-deployed open models Overview Deploy open models Deploy open models from Model Garden Deploy open models with prebuilt containers Deploy open models with a custom vLLM container Deploy models with custom weights Use Hugging Face Models Tutorials Optimize model performance with advanced features in Model Garden Hex-LLM Comprehensive guide to vLLM for Text and Multimodal LLM Serving (GPU) vLLM TPU xDiT Deploy Llamma 3 models with SpotVM and Reservations Build Agents Vertex AI Agent Builder documentation Prompt design Introduction to prompting Prompting strategies Overview Give clear and specific instructions Use system instructions Include few-shot examples Add contextual information Structure prompts Compare prompts Instruct the model to explain its reasoning Break down complex tasks Experiment with parameter values Prompt iteration strategies Task-specific prompt guidance Design multimodal prompts Design chat prompts Design medical text prompts Capabilities Safety Overview Responsible AI System instructions for safety Configure content filters Gemini for safety filtering and content moderation Abuse monitoring Process blocked responses Content Credentials Text and code generation Text generation System instructions Function calling Structured output Content generation parameters Code execution Medical text Image generation Overview Generate and edit images with Gemini Generate images using text prompts with Imagen Edit images with Imagen Verify an image watermark Configure Imagen parameters Configure Responsible AI safety settings Use prompt rewriter Set text prompt language Configure aspect ratio Set output resolution Omit content using a negative prompt Generate deterministic images Generate images for retail and e-commerce Generate Virtual Try-On images Recontextualize product images Edit images Overview Insert objects into an image using inpaint Remove objects from an image using inpaint Expand the content of an image using outpaint Replace the background of an image Customize images Subject customization Style customization Controlled Customization Instruct Customization Upscale images Prompt and image attribute guide Base64 encode and decode files Responsible AI and usage guidelines for Imagen Video generation Introduction to Veo Generate Veo videos from text prompts Generate Veo videos from an image Generate Veo videos using first and last video frames Extend Veo videos Direct Veo video generation using a reference image Insert objects into Veo videos Remove objects from Veo videos Veo prompt guide Veo best practices Turn off Veo's prompt rewriter 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Migration SDK, languages, frameworks, and tools Home Documentation AI and ML Vertex AI Generative AI on Vertex AI Guides Send feedback Generative AI beginner's guide Stay organized with collections Save and categorize content based on your preferences. This beginner's guide introduces you to the core technologies of generative AI and explains how they fit together to power chatbots and applications. Generative AI (also known as genAI or gen AI ) is a field of machine learning (ML) that develops and uses ML models for generating new content. Generative AI models are often called large language models (LLMs) because of their large size and ability to understand and generate natural language. However, depending on the data that the models are trained on, these models can understand and generate content from multiple modalities, including text, images, videos, and audio. Models that work with multiple modalities of data are called multimodal models. Google provides the Gemini family of generative AI models designed for multimodal use cases; capable of processing information from multiple modalities, including images, videos, and text. Content generation In order for generative AI models to generate content that's useful in real-world applications, they need to have the following capabilities: Learn how to perform new tasks: Generative AI models are designed to perform general tasks. If you want a model to perform tasks that are unique to your use case, then you need to be able to customize the model. On Vertex AI, you can customize your model through model tuning. Access external information: Generative AI models are trained on vast amounts of data. However, in order for these models to be useful, they need to be able to access information outside of their training data. For example, if you want to create a customer service chatbot that's powered by a generative AI model, the model needs to have access to information about the products and services that you offer. In Vertex AI, you use the grounding and function calling features to help the model access external information. Block harmful content: Generative AI models might generate output that you don't expect, including text that's offensive or insensitive. To maintain safety and prevent misuse, the models need safety filters to block prompts and responses that are determined to be potentially harmful. Vertex AI has built-in safety features that promote the responsible use of our generative AI services. The following diagram shows how these different capabilities work together to generate content that you want: Prompt The generative AI workflow typically starts with prompting. A prompt is a natural language request sent to a generative AI model to elicit a response back. Depending on the model, a prompt can contain text , images , videos , audio , documents , and other modalities or even multiple modalities (multimodal). Creating a prompt to get the desired response from the model is a practice called prompt design . While prompt design is a process of trial and error, there are prompt design principles and strategies that you can use to nudge the model to behave in the desired way. Vertex AI Studio offers a prompt management tool to help you manage your prompts. Foundation models Prompts are sent to a generative AI model for response generation. Vertex AI has a variety of generative AI foundation models that are accessible through a managed API, including the following: Gemini API: Advanced reasoning, multiturn chat, code generation, and multimodal prompts. Imagen API: Image generation, image editing, and visual captioning. MedLM : Medical question answering and summarization. ( Deprecated ) The models differ in size, modality, and cost. You can explore Google models, as well as open models and models from Google partners, in Model Garden . Model customization You can customize the default behavior of Google's foundation models so that they consistently generate the desired results without using complex prompts. This customization process is called model tuning . Model tuning helps you reduce the cost and latency of your requests by allowing you to simplify your prompts. Vertex AI also offers model evaluation tools to help you evaluate the performance of your tuned model. After your tuned model is production-ready, you can deploy it to an endpoint and monitor performance like in standard MLOps workflows. Access external information Vertex AI offers multiple ways to give the model access to external APIs and real-time information. Grounding : Connects model responses to a source of truth, such as your own data or web search, helping to reduce hallucinations. RAG : Connects models to external knowledge sources, such as documents and databases, to generate more accurate and informative responses. Function calling : Lets the model interact with external APIs to get real-time information and perform real-world tasks. Citation check After the response is generated, Vertex AI checks whether citations need to be included with the response. If a significant amount of the text in the response comes from a particular source, that source is added to the citation metadata in the response. Responsible AI and safety The last layer of checks that the prompt and response go through before being returned is the safety filters . Vertex AI checks both the prompt and response for how much the prompt or response belongs to a safety category . If the threshold is exceed for one or more categories, the response is blocked and Vertex AI returns a fallback response . Response If the prompt and response passes the safety filter checks, the response is returned. Typically, the response is returned all at once. However, with Vertex AI you can also receive responses progressively as it generates by enabling streaming . Get started Try one of these quickstarts to get started with generative AI on Vertex AI: Generate text using the Vertex AI Gemini API : Use the SDK to send requests to the Vertex AI Gemini API Send prompts to Gemini using the Vertex AI Studio Prompt Gallery : Test prompts with no setup required Generate an image and verify its watermark using Imagen : Create a watermarked image using Imagen on Vertex AI on Vertex AI Send feedback Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Last updated 2026-01-08 UTC. Need to tell us more? 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https://ai.google.dev/api/live?hl=tr#send-messages	Live API - WebSockets API reference  \|  Gemini API  \|  Google AI for Developers Ana içeriğe atla / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Dokümanlar API referansı Gemini API Dokümanlar API referansı API anahtarı alma Tarif Defteri Topluluk Genel bakış API sürümleri İşlemler Modeller İçerik oluşturuluyor Canlı API Live Music API Interactions API Simgeler Dosyalar Toplu API Önbelleğe alma Yerleştirmeler Dosya arama Dosya arama mağazaları Doküman Tüm yöntemler Kullanımdan kaldırıldı PaLM (artık kaldırıldı) SDK referansları Python Go TypeScript Java C# Ana Sayfa Gemini API API referansı Geri bildirim gönderin Live API - WebSockets API reference Önizleme: Live API önizleme sürümündedir. Live API, WebSockets kullanan durum bilgisine sahip bir API'dir. Bu bölümde, WebSockets API ile ilgili ek ayrıntılar bulabilirsiniz. Oturum sayısı WebSocket bağlantısı, istemci ile Gemini sunucusu arasında bir oturum oluşturur. Bir istemci yeni bir bağlantı başlattıktan sonra oturum, sunucuyla mesaj alışverişinde bulunarak şunları yapabilir: Gemini sunucusuna metin, ses veya video gönderme. Gemini sunucusundan ses, metin veya işlev çağrısı istekleri alma WebSocket bağlantısı Oturum başlatmak için şu websocket uç noktasına bağlanın: wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1beta.GenerativeService.BidiGenerateContent Not: URL, v1beta sürümü içindir. Oturum yapılandırması Bağlantı kurulduktan sonraki ilk mesaj, modeli, oluşturma parametrelerini, sistem talimatlarını ve araçları içeren oturum yapılandırmasını ayarlar. Oturum sırasında model dışındaki yapılandırma parametrelerini değiştirebilirsiniz. Aşağıdaki örnek yapılandırmaya bakın. SDK'lardaki ad büyük/küçük harf kullanımında farklılıklar olabileceğini unutmayın. Python SDK yapılandırma seçeneklerini buradan inceleyebilirsiniz. { "model": string, "generationConfig": { "candidateCount": integer, "maxOutputTokens": integer, "temperature": number, "topP": number, "topK": integer, "presencePenalty": number, "frequencyPenalty": number, "responseModalities": [string], "speechConfig": object, "mediaResolution": object }, "systemInstruction": string, "tools": [object] } API alanı hakkında daha fazla bilgi için generationConfig bölümüne bakın. Mesaj gönderin WebSocket bağlantısı üzerinden mesaj alışverişi yapmak için istemcinin açık bir WebSocket bağlantısı üzerinden JSON nesnesi göndermesi gerekir. JSON nesnesi, aşağıdaki nesne grubundaki alanlardan tam olarak birine sahip olmalıdır: { "setup": BidiGenerateContentSetup, "clientContent": BidiGenerateContentClientContent, "realtimeInput": BidiGenerateContentRealtimeInput, "toolResponse": BidiGenerateContentToolResponse } Desteklenen istemci mesajları Desteklenen istemci mesajlarını aşağıdaki tabloda görebilirsiniz: Mesaj Açıklama BidiGenerateContentSetup İlk mesajda gönderilecek oturum yapılandırması BidiGenerateContentClientContent İstemciden gönderilen mevcut sohbetin artımlı içerik güncellemesi BidiGenerateContentRealtimeInput Gerçek zamanlı ses, video veya metin girişi BidiGenerateContentToolResponse Sunucudan alınan ToolCallMessage yanıtı İleti alma Gemini'den mesaj almak için WebSocket "mesaj" etkinliğini dinleyin ve ardından sonucu, desteklenen sunucu mesajlarının tanımına göre ayrıştırın. Aşağıdakilere bakın: async with client . aio . live . connect ( model = '...' , config = config ) as session : await session . send ( input = 'Hello world!' , end_of_turn = True ) async for message in session . receive (): print ( message ) Sunucu mesajlarında usageMetadata alanı bulunabilir ancak bu alan dışında BidiGenerateContentServerMessage mesajındaki diğer alanlardan tam olarak bir tanesi eklenir. ( messageType birleştirme işlemi JSON'da ifade edilmediğinden alan, mesajın üst düzeyinde görünür.) Mesajlar ve etkinlikler ActivityEnd Bu türde alan yoktur. Kullanıcı etkinliğinin sonunu işaret eder. ActivityHandling Kullanıcı etkinliğini işleme yöntemleri. Sıralamalar ACTIVITY_HANDLING_UNSPECIFIED Belirtilmemişse varsayılan davranış START_OF_ACTIVITY_INTERRUPTS olur. START_OF_ACTIVITY_INTERRUPTS Doğru ise etkinliğin başlatılması, modelin yanıtını kesintiye uğratır ("ara verme" olarak da bilinir). Modelin mevcut yanıtı, kesinti anında kesilir. Bu varsayılan davranıştır. NO_INTERRUPTION Modelin yanıtı kesintiye uğramaz. ActivityStart Bu türde alan yoktur. Kullanıcı etkinliğinin başlangıcını işaret eder. AudioTranscriptionConfig Bu türde alan yoktur. Ses transkripti yapılandırması. AutomaticActivityDetection Etkinliğin otomatik olarak algılanmasını yapılandırır. Alanlar disabled bool İsteğe bağlı. Etkinleştirilirse (varsayılan) algılanan ses ve metin girişi etkinlik olarak sayılır. Devre dışı bırakılırsa istemcinin etkinlik sinyalleri göndermesi gerekir. startOfSpeechSensitivity StartSensitivity İsteğe bağlı. Konuşmanın algılanma olasılığını belirler. prefixPaddingMs int32 İsteğe bağlı. Konuşma başlangıcı kaydedilmeden önce algılanan konuşmanın gerekli süresi. Bu değer ne kadar düşük olursa konuşma başlangıcı algılama o kadar hassas olur ve daha kısa konuşmalar tanınabilir. Ancak bu, yanlış pozitif olasılığını da artırır. endOfSpeechSensitivity EndSensitivity İsteğe bağlı. Algılanan konuşmanın sona erme olasılığını belirler. silenceDurationMs int32 İsteğe bağlı. Konuşma sonu kaydedilmeden önce algılanan konuşma dışı seslerin (ör. sessizlik) gerekli süresi. Bu değer ne kadar büyük olursa kullanıcının etkinliğini kesintiye uğratmadan konuşma aralıkları o kadar uzun olabilir ancak bu, modelin gecikmesini artırır. BidiGenerateContentClientContent İstemciden gönderilen mevcut sohbetin artımlı güncellemesi. Buradaki tüm içerikler koşulsuz olarak ileti dizisine eklenir ve içerik oluşturmak için modele verilen istemin bir parçası olarak kullanılır. Buradaki bir mesaj, mevcut model oluşturma işlemini kesintiye uğratır. Alanlar turns[] Content İsteğe bağlı. Modelle olan mevcut görüşmeye eklenen içerik. Tek turlu sorgular için bu tek bir örnektir. Birden fazla dönüş içeren sorgular için bu, sohbet geçmişini ve en son isteği içeren yinelenen bir alandır. turnComplete bool İsteğe bağlı. Doğru ise sunucu içeriği oluşturma işleminin, şu anda toplanmış istemle başlaması gerektiğini belirtir. Aksi takdirde sunucu, oluşturma işlemini başlatmadan önce ek mesaj bekler. BidiGenerateContentRealtimeInput Gerçek zamanlı olarak gönderilen kullanıcı girişi. Farklı modlar (ses, video ve metin) eşzamanlı akışlar olarak işlenir. Bu akışlardaki sıralama garanti edilmez. Bu, BidiGenerateContentClientContent ile birkaç açıdan farklıdır: Model oluşturma işlemine kesinti olmadan sürekli olarak gönderilebilir. BidiGenerateContentClientContent ve BidiGenerateContentRealtimeInput arasında ardışık olarak yerleştirilmiş verileri karıştırmanız gerekiyorsa sunucu en iyi yanıt için optimizasyon yapmaya çalışır ancak bu konuda garanti verilmez. Sıranın sonu açıkça belirtilmez, bunun yerine kullanıcı etkinliğinden (ör. konuşmanın sonu) türetilir. Dönüş bitmeden önce bile veriler, modelden gelen yanıtın hızlı bir şekilde başlatılması için optimize edilmek üzere artımlı olarak işlenir. Alanlar mediaChunks[] Blob İsteğe bağlı. Medya girişi için satır içi bayt verileri. Birden fazla mediaChunks desteklenmez. İlk mediaChunks hariç diğer tüm mediaChunks 'ler yok sayılır. KULLANIMDAN KALDIRILDI: Bunun yerine audio , video veya text öğelerinden birini kullanın. audio Blob İsteğe bağlı. Bunlar, gerçek zamanlı ses giriş akışını oluşturur. video Blob İsteğe bağlı. Bunlar, gerçek zamanlı video giriş akışını oluşturur. activityStart ActivityStart İsteğe bağlı. Kullanıcı etkinliğinin başlangıcını işaret eder. Bu yalnızca otomatik (ör. sunucu tarafı) etkinlik algılama devre dışıysa gönderilebilir. activityEnd ActivityEnd İsteğe bağlı. Kullanıcı etkinliğinin sonunu işaret eder. Bu yalnızca otomatik (ör. sunucu tarafı) etkinlik algılama devre dışıysa gönderilebilir. audioStreamEnd bool İsteğe bağlı. Mikrofonun kapatılması gibi nedenlerle ses akışının sona erdiğini gösterir. Bu yalnızca otomatik etkinlik algılama etkinleştirildiğinde (varsayılan olarak etkindir) gönderilmelidir. İstemci, sesli mesaj göndererek yayını yeniden açabilir. text string İsteğe bağlı. Bunlar, anlık metin giriş akışını oluşturur. BidiGenerateContentServerContent İstemci mesajlarına yanıt olarak model tarafından oluşturulan artımlı sunucu güncellemesi. İçerik, gerçek zamanlı olarak değil, mümkün olduğunca hızlı bir şekilde oluşturulur. İstemciler, içeriği arabelleğe alıp gerçek zamanlı olarak oynatmayı seçebilir. Alanlar generationComplete bool Yalnızca çıkış. True (Doğru) ise modelin oluşturulmasının tamamlandığını gösterir. Model oluşturulurken kesintiye uğradığında kesintiye uğrayan turda "generation_complete" mesajı gönderilmez. "interrupted > turn_complete" mesajı gönderilir. Model gerçek zamanlı oynatmayı varsaydığında, generation_complete ile turn_complete arasında modelin oynatmanın bitmesini beklemesinden kaynaklanan bir gecikme olur. turnComplete bool Yalnızca çıkış. Doğru ise modelin sırasını tamamladığını gösterir. Oluşturma işlemi yalnızca ek istemci mesajlarına yanıt olarak başlar. interrupted bool Yalnızca çıkış. Doğru ise bir istemci mesajının mevcut model oluşturma işlemini kesintiye uğrattığını gösterir. İstemci içeriği gerçek zamanlı olarak oynatıyorsa bu, oynatmayı durdurup mevcut oynatma sırasını boşaltmak için iyi bir sinyaldir. groundingMetadata GroundingMetadata Yalnızca çıkış. Oluşturulan içerik için temel meta veriler. inputTranscription BidiGenerateContentTranscription Yalnızca çıkış. Ses transkriptini girin. Metne dönüştürülmüş metin, diğer sunucu mesajlarından bağımsız olarak gönderilir ve sırası garanti edilmez. outputTranscription BidiGenerateContentTranscription Yalnızca çıkış. Ses transkriptini çıkışa aktarın. Transkript, diğer sunucu mesajlarından bağımsız olarak gönderilir ve özellikle serverContent ile bu outputTranscription arasında garanti edilen bir sıralama yoktur. urlContextMetadata UrlContextMetadata modelTurn Content Yalnızca çıkış. Modelin, kullanıcıyla devam eden görüşmenin bir parçası olarak oluşturduğu içerik. BidiGenerateContentServerMessage BidiGenerateContent çağrısı için yanıt mesajı. Alanlar usageMetadata UsageMetadata Yalnızca çıkış. Yanıtlarla ilgili kullanım meta verileri. Birlik alanı messageType . Mesajın türü. messageType yalnızca aşağıdakilerden biri olabilir: setupComplete BidiGenerateContentSetupComplete Yalnızca çıkış. Kurulum tamamlandığında istemciden gelen bir BidiGenerateContentSetup mesajına yanıt olarak gönderilir. serverContent BidiGenerateContentServerContent Yalnızca çıkış. İstemci mesajlarına yanıt olarak model tarafından oluşturulan içerik. toolCall BidiGenerateContentToolCall Yalnızca çıkış. İstemciden functionCalls 'yi yürütmesini ve eşleşen id 'larla yanıtları döndürmesini isteyin. toolCallCancellation BidiGenerateContentToolCallCancellation Yalnızca çıkış. Belirtilen id 'lar içeren daha önce verilen bir ToolCallMessage 'nin iptal edilmesi gerektiğine dair müşteriye gönderilen bildirim. goAway GoAway Yalnızca çıkış. Sunucunun yakında bağlantısını keseceğini belirten bir bildirim. sessionResumptionUpdate SessionResumptionUpdate Yalnızca çıkış. Oturum devam ettirme durumunun güncellenmesi. BidiGenerateContentSetup İlk (ve yalnızca ilk) BidiGenerateContentClientMessage 'te gönderilecek mesaj. Akış RPC'si süresince geçerli olacak yapılandırmayı içerir. Müşteriler ek mesaj göndermeden önce bir BidiGenerateContentSetupComplete mesajı beklemelidir. Alanlar model string Zorunlu. Modelin kaynak adı. Bu, modelin kullanacağı bir kimlik görevi görür. Biçim: models/{model} generationConfig GenerationConfig İsteğe bağlı. Oluşturma yapılandırması. Aşağıdaki alanlar desteklenmez: responseLogprobs responseMimeType logprobs responseSchema stopSequence routingConfig audioTimestamp systemInstruction Content İsteğe bağlı. Kullanıcı, model için sistem talimatları sağladı. Not: Bölümlerde yalnızca metin kullanılmalıdır ve her bölümdeki içerik ayrı bir paragrafta yer alır. tools[] Tool İsteğe bağlı. Modelin sonraki yanıtı oluşturmak için kullanabileceği Tools öğelerinin listesi. Tool , sistemin modelin bilgisi ve kapsamı dışında bir işlem veya işlem grubu gerçekleştirmek için harici sistemlerle etkileşime geçmesini sağlayan bir kod parçasıdır. realtimeInputConfig RealtimeInputConfig İsteğe bağlı. Gerçek zamanlı girişin işlenmesini yapılandırır. sessionResumption SessionResumptionConfig İsteğe bağlı. Oturum devam ettirme mekanizmasını yapılandırır. Bu parametre dahil edilirse sunucu SessionResumptionUpdate ileti gönderir. contextWindowCompression ContextWindowCompressionConfig İsteğe bağlı. Bağlam penceresi sıkıştırma mekanizmasını yapılandırır. Bu parametre dahil edilirse sunucu, yapılandırılmış uzunluğu aştığında bağlamın boyutunu otomatik olarak azaltır. inputAudioTranscription AudioTranscriptionConfig İsteğe bağlı. Ayarlanırsa ses girişinin transkriptini etkinleştirir. Transkript, yapılandırılmışsa giriş ses diliyle uyumlu olur. outputAudioTranscription AudioTranscriptionConfig İsteğe bağlı. Ayarlanırsa modelin ses çıkışının transkriptini etkinleştirir. Transkript, yapılandırılmışsa çıkış sesi için belirtilen dil koduyla uyumlu olur. proactivity ProactivityConfig İsteğe bağlı. Modelin proaktifliğini yapılandırır. Bu sayede model, girişe proaktif olarak yanıt verebilir ve alakasız girişleri yoksayabilir. BidiGenerateContentSetupComplete Bu türde alan yoktur. İstemciden gelen bir BidiGenerateContentSetup mesajına yanıt olarak gönderilir. BidiGenerateContentToolCall İstemciden functionCalls 'yi yürütmesini ve eşleşen id 'larla yanıtları döndürmesini isteyin. Alanlar functionCalls[] FunctionCall Yalnızca çıkış. Yürütülecek işlev çağrısı. BidiGenerateContentToolCallCancellation Belirtilen id 'ler içeren daha önce verilen bir ToolCallMessage 'nin yürütülmemesi ve iptal edilmesi gerektiğini müşteriye bildiren bildirim. Bu araç çağrılarının yan etkileri varsa istemciler araç çağrılarını geri almaya çalışabilir. Bu mesaj yalnızca istemcilerin sunucu sıralarını kesintiye uğrattığı durumlarda gösterilir. Alanlar ids[] string Yalnızca çıkış. İptal edilecek araç çağrılarının kimlikleri. BidiGenerateContentToolResponse Sunucudan alınan bir ToolCall için istemci tarafından oluşturulan yanıt. Ayrı FunctionResponse nesneleri, id alanı tarafından ilgili FunctionCall nesneleriyle eşleştirilir. Tek değerli ve sunucudan aktarılan GenerateContent API'lerinde işlev çağrısının Content parçalarının değiştirilmesiyle gerçekleştiğini, çift yönlü GenerateContent API'lerinde ise işlev çağrısının bu özel mesaj grubu üzerinden gerçekleştiğini unutmayın. Alanlar functionResponses[] FunctionResponse İsteğe bağlı. İşlev çağrılarına verilen yanıt. BidiGenerateContentTranscription Ses transkripti (giriş veya çıkış). Alanlar text string Transkript metni. ContextWindowCompressionConfig Bağlam penceresi sıkıştırmasını etkinleştirir. Bu, modelin bağlam penceresini belirli bir uzunluktan aşmayacak şekilde yönetme mekanizmasıdır. Alanlar Birlik alanı compressionMechanism . Kullanılan bağlam penceresi sıkıştırma mekanizması. compressionMechanism yalnızca aşağıdakilerden biri olabilir: slidingWindow SlidingWindow Kaydırmalı pencere mekanizması. triggerTokens int64 Bir bağlam penceresi sıkıştırmasını tetiklemek için gereken jeton sayısı (bir tur çalıştırmadan önce). Daha kısa bağlam aralıkları daha hızlı model yanıtlarına neden olabileceğinden bu, kaliteyi gecikmeye karşı dengelemek için kullanılabilir. Ancak sıkıştırma işlemleri geçici bir gecikmeye neden olacağından sık sık tetiklenmemelidir. Ayarlanmamışsa varsayılan olarak modelin bağlam aralığı sınırının% 80'i kullanılır. Bu durumda, sonraki kullanıcı isteği/model yanıtı için% 20'lik bir pay kalır. EndSensitivity Konuşmanın sonunun nasıl algılandığını belirler. Sıralamalar END_SENSITIVITY_UNSPECIFIED Varsayılan değer END_SENSITIVITY_HIGH'tır. END_SENSITIVITY_HIGH Otomatik algılama, konuşmayı daha sık sonlandırır. END_SENSITIVITY_LOW Otomatik algılama, konuşmayı daha az keser. GoAway Sunucunun yakında bağlantısını keseceğini belirten bir bildirim. Alanlar timeLeft Duration Bağlantının ABORTED olarak sonlandırılmasına kalan süre. Bu süre hiçbir zaman modele özgü minimum süreden az olmaz. Bu süre, modelin ücret sınırlarıyla birlikte belirtilir. ProactivityConfig Proaktiflik özellikleri için yapılandırma. Alanlar proactiveAudio bool İsteğe bağlı. Etkinleştirilirse model, son istemi yanıtlamayı reddedebilir. Örneğin, bu sayede model bağlam dışı konuşmaları yoksayabilir veya kullanıcı henüz bir istek göndermediyse sessiz kalabilir. RealtimeInputConfig BidiGenerateContent 'te gerçek zamanlı giriş davranışını yapılandırır. Alanlar automaticActivityDetection AutomaticActivityDetection İsteğe bağlı. Ayarlanmamışsa otomatik etkinlik algılama varsayılan olarak etkindir. Otomatik ses algılama devre dışıysa istemcinin etkinlik sinyalleri göndermesi gerekir. activityHandling ActivityHandling İsteğe bağlı. Etkinliğin ne gibi bir etkisi olduğunu tanımlar. turnCoverage TurnCoverage İsteğe bağlı. Kullanıcının sırasına hangi girişin dahil edileceğini tanımlar. SessionResumptionConfig Oturum devam ettirme yapılandırması. Bu mesaj, oturum yapılandırmasına BidiGenerateContentSetup.sessionResumption olarak dahil edilir. Yapılandırılmışsa sunucu SessionResumptionUpdate ileti gönderir. Alanlar handle string Önceki bir oturumun herkese açık kullanıcı adı. Aksi takdirde yeni bir oturum oluşturulur. Oturum asıl adları, önceki bağlantılardaki SessionResumptionUpdate.token değerlerinden gelir. SessionResumptionUpdate Oturum devam ettirme durumunun güncellenmesi. Yalnızca BidiGenerateContentSetup.sessionResumption ayarlandıysa gönderilir. Alanlar newHandle string Devam ettirilebilecek bir durumu temsil eden yeni herkese açık kullanıcı adı. resumable =false ise boştur. resumable bool Geçerli oturum bu noktada devam ettirilebiliyorsa doğru değerini döndürür. Oturumun bazı noktalarında devam ettirme işlemi yapılamaz. Örneğin, model işlev çağrıları yürüttüğünde veya oluştururken. Oturum bu durumdayken devam ettirildiğinde (önceki oturum jetonu kullanılarak) bazı veriler kaybolur. Bu durumlarda newHandle boş olur ve resumable yanlış olur. SlidingWindow SlidingWindow yöntemi, bağlam penceresinin başındaki içeriği atarak çalışır. Sonuç olarak elde edilen bağlam, her zaman bir USER rolü dönüşümünün başında başlar. Sistem talimatları ve BidiGenerateContentSetup.prefixTurns her zaman sonucun başında yer alır. Alanlar targetTokens int64 Saklanacak hedef jeton sayısı. Varsayılan değer trigger_tokens/2'dir. Bağlam penceresinin bazı bölümlerinin atılması geçici bir gecikmeye neden olur. Bu nedenle, sık sık sıkıştırma işlemi yapılmasını önlemek için bu değer kalibre edilmelidir. StartSensitivity Konuşmanın başlangıcının nasıl algılandığını belirler. Sıralamalar START_SENSITIVITY_UNSPECIFIED Varsayılan değer START_SENSITIVITY_HIGH'tır. START_SENSITIVITY_HIGH Otomatik algılama, konuşmanın başlangıcını daha sık algılar. START_SENSITIVITY_LOW Otomatik algılama, konuşmanın başlangıcını daha seyrek algılar. TurnCoverage Kullanıcının sırasına hangi girişin dahil edileceğiyle ilgili seçenekler. Sıralamalar TURN_COVERAGE_UNSPECIFIED Belirtilmemişse varsayılan davranış TURN_INCLUDES_ONLY_ACTIVITY olur. TURN_INCLUDES_ONLY_ACTIVITY Kullanıcının sırası, yalnızca son sıradan sonraki etkinliği içerir.Etkin olmayan süreler (ör. ses akışındaki sessizlik) hariç tutulur. Bu varsayılan davranıştır. TURN_INCLUDES_ALL_INPUT Kullanıcının sırası, son sıradan bu yana gerçekleşen tüm gerçek zamanlı girişleri (ör. ses akışındaki sessizlik) içerir. UrlContextMetadata URL bağlamı alma aracıyla ilgili meta veriler. Alanlar urlMetadata[] UrlMetadata URL bağlamının listesi. UsageMetadata Yanıtlarla ilgili kullanım meta verileri. Alanlar promptTokenCount int32 Yalnızca çıkış. İstemdeki jeton sayısı. cachedContent ayarlandığında, bu değer yine toplam etkili istem boyutudur. Yani önbelleğe alınmış içerikteki jeton sayısını içerir. cachedContentTokenCount int32 İstemdeki önbelleğe alınmış kısımdaki (önbelleğe alınmış içerik) jeton sayısı responseTokenCount int32 Yalnızca çıkış. Oluşturulan tüm yanıt adaylarındaki toplam jeton sayısı. toolUsePromptTokenCount int32 Yalnızca çıkış. Araç kullanımı istemlerinde bulunan jetonların sayısı. thoughtsTokenCount int32 Yalnızca çıkış. Düşünme modelleri için düşünce jetonlarının sayısı. totalTokenCount int32 Yalnızca çıkış. Oluşturma isteği için toplam jeton sayısı (istem + yanıt adayları). promptTokensDetails[] ModalityTokenCount Yalnızca çıkış. İstek girişinde işlenen modalitelerin listesi. cacheTokensDetails[] ModalityTokenCount Yalnızca çıkış. İstek girişindeki önbelleğe alınmış içeriğin modalitelerinin listesi. responseTokensDetails[] ModalityTokenCount Yalnızca çıkış. Yanıtta döndürülen modalitelerin listesi. toolUsePromptTokensDetails[] ModalityTokenCount Yalnızca çıkış. Araç kullanımı istek girişleri için işlenen modalitelerin listesi. Geçici kimlik doğrulama jetonları Geçici kimlik doğrulama jetonları, AuthTokenService.CreateToken çağrılarak elde edilebilir ve ardından jeton bir access_token sorgu parametresinde veya başına " Token " eklenmiş bir HTTP Authorization üstbilgisinde iletilerek GenerativeService.BidiGenerateContentConstrained ile kullanılabilir. CreateAuthTokenRequest Geçici bir kimlik doğrulama jetonu oluşturun. Alanlar authToken AuthToken Zorunlu. Oluşturulacak jeton. AuthToken Geçici kimlik doğrulama jetonu oluşturma isteği. Alanlar name string Yalnızca çıkış. Tanımlayıcı. Jetonun kendisi. expireTime Timestamp İsteğe bağlı. Yalnızca giriş. Değişmez. Elde edilen jeton kullanıldığında BidiGenerateContent oturumlarındaki mesajların reddedileceği isteğe bağlı bir zaman. (Gemini bu sürenin ardından oturumu önceden kapatabilir.) Ayarlanmazsa varsayılan olarak gelecekte 30 dakika olur. Ayarlanırsa bu değer 20 saatten kısa bir süre sonra olmalıdır. newSessionExpireTime Timestamp İsteğe bağlı. Yalnızca giriş. Değişmez. Bu istek sonucunda elde edilen jetonu kullanan yeni Live API oturumlarının reddedildiği zaman. Ayarlanmamışsa gelecekte varsayılan olarak 60 saniye olur. Ayarlanırsa bu değer 20 saatten kısa bir süre sonra olmalıdır. fieldMask FieldMask İsteğe bağlı. Yalnızca giriş. Değişmez. field_mask boşsa ve bidiGenerateContentSetup mevcut değilse geçerli BidiGenerateContentSetup mesajı Live API bağlantısından alınır. field_mask boşsa ve bidiGenerateContentSetup mevcutsa geçerli BidiGenerateContentSetup mesajı bu istekteki bidiGenerateContentSetup öğesinden tamamen alınır. Live API bağlantısından gelen kurulum mesajı göz ardı edilir. field_mask boş değilse bidiGenerateContentSetup 'teki ilgili alanların, Canlı API bağlantısındaki kurulum mesajındaki alanların üzerine yazılır. Birlik alanı config . Elde edilen jeton için yönteme özel yapılandırma. config yalnızca aşağıdakilerden biri olabilir: bidiGenerateContentSetup BidiGenerateContentSetup İsteğe bağlı. Yalnızca giriş. Değişmez. BidiGenerateContent 'e özgü yapılandırma. uses int32 İsteğe bağlı. Yalnızca giriş. Değişmez. Jetonun kaç kez kullanılabileceği. Bu değer sıfır ise sınır uygulanmaz. Canlı API oturumunun devam ettirilmesi kullanım olarak sayılmaz. Herhangi bir değer belirtilmediyse varsayılan olarak 1 değeri kullanılır. Yaygın türler hakkında daha fazla bilgi Sık kullanılan API kaynak türleri Blob , Content , FunctionCall , FunctionResponse , GenerationConfig , GroundingMetadata , ModalityTokenCount ve Tool hakkında daha fazla bilgi edinmek için İçerik oluşturma başlıklı makaleyi inceleyin. Geri bildirim gönderin Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları 'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır. Son güncelleme tarihi: 2025-05-21 UTC. Bize geri bildirimde bulunmak mı istiyorsunuz? [[["Anlaması kolay","easyToUnderstand","thumb-up"],["Sorunumu çözdü","solvedMyProblem","thumb-up"],["Diğer","otherUp","thumb-up"]],[["İhtiyacım olan bilgiler yok","missingTheInformationINeed","thumb-down"],["Çok karmaşık / çok fazla adım var","tooComplicatedTooManySteps","thumb-down"],["Güncel değil","outOfDate","thumb-down"],["Çeviri sorunu","translationIssue","thumb-down"],["Örnek veya kod sorunu","samplesCodeIssue","thumb-down"],["Diğer","otherDown","thumb-down"]],["Son güncelleme tarihi: 2025-05-21 UTC."],[],[]] Şartlar Gizlilik Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
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https://ai.google.dev/api/models?hl=sq	Models  \|  Gemini API  \|  Google AI for Developers Kapërce te përmbajtja kryesore / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 Merr çelësin API Libër gatimi Komuniteti Identifikohu Dokumentet, Dokumentet Referenca API, referencë API Gemini API Dokumentet, Dokumentet Referenca API, referencë API Merr çelësin API Libër gatimi Komuniteti Vështrim i përgjithshëm Versionet e API aftësitë Modelet Gjenerimi i përmbajtjes API e drejtpërdrejtë API-ja e muzikës së drejtpërdrejtë API-ja e Ndërveprimeve Shenjat Skedarët Batch API Caching Embeddings Kërkim skedarësh Dyqanet e kërkimit të skedarëve Dokumenti Të gjitha metodat I zhvlerësuar PALM (i çmontuar) Referencat e SDK-së Python Go TypeScript Java C# Kjo faqe është përkthyer nga Cloud Translation API . Faqja kryesore Gemini API Referenca API, referencë API Dërgo komente Models Pika fundore e modeleve ofron një mënyrë që ju të listoni në mënyrë programore modelet e disponueshme dhe të merrni meta të dhëna të zgjeruara, siç janë funksionaliteti i mbështetur dhe madhësia e dritares së kontekstit. Lexoni më shumë në udhëzuesin e Modeleve . Metoda: models.get Pika e Fundit Parametrat e shtegut Trupi i kërkesës Trupi i përgjigjes Fushat e autorizimit Shembull kërkese Merr Merr informacion në lidhje me një Model specifik, siç është numri i versionit të tij, kufijtë e tokenëve, parametrat dhe meta të dhëna të tjera. Referojuni udhëzuesit të modeleve Gemini për informacion të detajuar të modelit. Pika e Fundit merrni https: / /generativelanguage.googleapis.com /v1beta /{name=models /} Parametrat e shtegut string name E detyrueshme. Emri i burimit të modelit. Ky emër duhet të përputhet me një emër modeli të kthyer nga metoda models.list . Formati: models/{model} Merr formën models/{model} . Trupi i kërkesës Trupi i kërkesës duhet të jetë bosh. Shembull kërkese Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Shko ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go Guaskë curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh Trupi i përgjigjes Nëse është i suksesshëm, trupi i përgjigjes përmban një instancë të Model . Metoda: models.list Pika e Fundit Parametrat e pyetjes Trupi i kërkesës Trupi i përgjigjes Përfaqësimi JSON Fushat e autorizimit Shembull kërkese Lista Liston Model e disponueshme përmes Gemini API. Pika e Fundit merrni https: / /generativelanguage.googleapis.com /v1beta /models Parametrat e pyetjes Madhësia pageSize integer Numri maksimal i Models për t'u kthyer (për faqe). Nëse nuk specifikohet, do të kthehen 50 modele për faqe. Kjo metodë kthen maksimumi 1000 modele për faqe, edhe nëse kaloni një pageSize më të madhe. vargu i pageToken string Një shenjë faqeje, e marrë nga një thirrje e mëparshme models.list . Jepni pageToken të kthyer nga një kërkesë si argument për kërkesën tjetër për të marrë faqen tjetër. Gjatë faqosjes, të gjithë parametrat e tjerë të dhënë te models.list duhet të përputhen me thirrjen që ofroi tokenin e faqes. Trupi i kërkesës Trupi i kërkesës duhet të jetë bosh. Shembull kërkese Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Shko ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go Guaskë curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh Trupi i përgjigjes Përgjigje nga ListModel që përmban një listë të faqezuar të Modeleve. Nëse është i suksesshëm, trupi i përgjigjes përmban të dhëna me strukturën e mëposhtme: Fushat models[] object ( Model ) Modelet e kthyera. string nextPageToken Një token, i cili mund të dërgohet si pageToken për të marrë faqen tjetër. Nëse kjo fushë lihet jashtë, nuk ka më faqe. Përfaqësimi JSON { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } Burimi REST: modele Burimi: Modeli Përfaqësimi JSON Metodat Burimi: Modeli Informacion rreth një Modeli Gjuhësor Gjenerativ. Fushat string name E detyrueshme. Emri i burimit të Model . Referojuni Variantet e Modelit për të gjitha vlerat e lejuara. Formati: models/{model} me një konventë emërtimi {model} prej: "{baseModelId}-{version}" Shembuj: models/gemini-1.5-flash-001 string baseModelId E detyrueshme. Emri i modelit bazë, kalojeni këtë te kërkesa e gjenerimit. Shembuj: gemini-1.5-flash string version E detyrueshme. Numri i versionit të modelit. Kjo përfaqëson versionin kryesor ( 1.0 ose 1.5 ) string displayName Emri i modelit i lexueshëm nga njeriu. P.sh. "Gemini 1.5 Flash". Emri mund të jetë deri në 128 karaktere i gjatë dhe mund të përbëhet nga çdo karakter UTF-8. string description Një përshkrim i shkurtër i modelit. inputTokenLimit integer Numri maksimal i tokenëve të hyrjes të lejuar për këtë model. outputTokenLimit integer Numri maksimal i tokenëve të daljes në dispozicion për këtë model. string supportedGenerationMethods[] Metodat e gjenerimit të mbështetura nga modeli. Emrat përkatës të metodave API përcaktohen si vargje të shkronjave të mëdha në Pascal, të tilla si generateMessage dhe generateContent . thinking boolean Nëse modeli mbështet të menduarit. number temperature Kontrollon rastësinë e rezultatit. Vlerat mund të variojnë mbi [0.0,maxTemperature] , përfshirëse. Një vlerë më e lartë do të prodhojë përgjigje që janë më të larmishme, ndërsa një vlerë më afër 0.0 zakonisht do të rezultojë në përgjigje më pak të papritura nga modeli. Kjo vlerë përcakton parazgjedhjen që do të përdoret nga backend gjatë thirrjes në model. number maxTemperature Temperatura maksimale që mund të përdorë ky model. number topP Për marrjen e mostrave të bërthamës . Marrja e mostrave bërthamore merr në konsideratë grupin më të vogël të tokenëve, shuma e probabilitetit të të cilëve është të paktën topP . Kjo vlerë përcakton parazgjedhjen që do të përdoret nga backend gjatë thirrjes së modelit. integer topK Për marrjen e mostrave Top-k. Kampionimi Top-k merr në konsideratë bashkësinë e tokenëve më të mundshëm topK . Kjo vlerë përcakton vlerën e parazgjedhur që do të përdoret nga backend gjatë thirrjes së modelit. Nëse është bosh, tregon se modeli nuk përdor kampionimin top-k dhe topK nuk lejohet si parametër gjenerimi. Përfaqësimi JSON { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } Metoda: modele.parashikim Pika e Fundit Parametrat e shtegut Trupi i kërkesës Përfaqësimi JSON Trupi i përgjigjes Përfaqësimi JSON Fushat e autorizimit Kryen një kërkesë parashikimi. Pika e Fundit posto https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict Parametrat e shtegut string model E detyrueshme. Emri i modelit për parashikim. Formati: name=models/{model} . Merr formën models/{model} . Trupi i kërkesës Trupi i kërkesës përmban të dhëna me strukturën e mëposhtme: Fushat instances[] value ( Value format) E detyrueshme. Instancat që janë hyrja në thirrjen e parashikimit. parameters value ( Value format) Opsionale. Parametrat që drejtojnë thirrjen e parashikimit. Trupi i përgjigjes Mesazh përgjigjeje për [PredictionService.Predict]. Nëse është i suksesshëm, trupi i përgjigjes përmban të dhëna me strukturën e mëposhtme: Fushat predictions[] value ( Value format) Rezultatet e thirrjes së parashikimit. Përfaqësimi JSON { "predictions" : [ value ] } Metoda: models.predictLongRunning Pika e Fundit Parametrat e shtegut Trupi i kërkesës Përfaqësimi JSON Trupi i përgjigjes Fushat e autorizimit Njësoj si models.predict por kthen një LRO. Pika e Fundit posto https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning Parametrat e shtegut string model E detyrueshme. Emri i modelit për parashikim. Formati: name=models/{model} . Trupi i kërkesës Trupi i kërkesës përmban të dhëna me strukturën e mëposhtme: Fushat instances[] value ( Value format) E detyrueshme. Instancat që janë hyrja në thirrjen e parashikimit. parameters value ( Value format) Opsionale. Parametrat që drejtojnë thirrjen e parashikimit. Trupi i përgjigjes Nëse është i suksesshëm, trupi i përgjigjes përmban një instancë të Operation . Dërgo komente Përveçse siç përcaktohet ndryshe, përmbajtja e kësaj faqeje është e licencuar sipas licencës së atribuimit 4.0 të Creative Commons dhe kampionët e kodit janë licencuar sipas licencës së Apache 2.0 . Për detaje, shiko Politikat e sajtit të Google Developers . Java është një markë tregtare e regjistruar e Oracle dhe/ose filialeve të tij. Përditësimi i fundit: 2025-12-16 UTC. Duhet të na tregosh më shumë? [[["E lehtë për t'u kuptuar","easyToUnderstand","thumb-up"],["E zgjidhi problemin tim","solvedMyProblem","thumb-up"],["Tjetër","otherUp","thumb-up"]],[["Mungojnë informacionet që më nevojiten","missingTheInformationINeed","thumb-down"],["Shumë e ndërlikuar/shumë hapa","tooComplicatedTooManySteps","thumb-down"],["E papërditësuar","outOfDate","thumb-down"],["Problem përkthimi","translationIssue","thumb-down"],["Problem me kampionët/kodin","samplesCodeIssue","thumb-down"],["Tjetër","otherDown","thumb-down"]],["Përditësimi i fundit: 2025-12-16 UTC."],[],[]] Kushtet Privatësia Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
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https://ai.google.dev/api/models?hl=it	Models  \|  Gemini API  \|  Google AI for Developers Passa ai contenuti principali / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 Recupera chiave API Libro di ricette Community Accedi Documenti Riferimento API Gemini API Documenti Riferimento API Recupera chiave API Libro di ricette Community Panoramica Versioni dell'API Funzionalità Modelli Generazione di contenuti in corso... API Live API Live Music API Interactions Token File API Batch Memorizzazione nella cache Embedding Ricerca di file Archivi di ricerca file Documento Tutti i metodi Ritirato PaLM (ignorato) Riferimenti SDK Python Go TypeScript Java C# Home page Gemini API Riferimento API Invia feedback Models L'endpoint dei modelli consente di elencare in modo programmatico i modelli disponibili e recuperare metadati estesi come funzionalità supportate e dimensionamento della finestra contestuale. Scopri di più nella guida ai modelli . Metodo: models.get Endpoint Parametri del percorso Corpo della richiesta Corpo della risposta Ambiti di autorizzazione Richiesta di esempio Scarica Recupera informazioni su un Model specifico, ad esempio il numero di versione, i limiti dei token, i parametri e altri metadati. Per informazioni dettagliate sui modelli, consulta la guida ai modelli Gemini . Endpoint get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} Parametri del percorso name string Obbligatorio. Il nome della risorsa del modello. Questo nome deve corrispondere a un nome del modello restituito dal metodo models.list . Formato: models/{model} . Assume la forma models/{model} . Corpo della richiesta Il corpo della richiesta deve essere vuoto. Esempio di richiesta Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go Conchiglia curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh Corpo della risposta In caso di esito positivo, il corpo della risposta contiene un'istanza di Model . Metodo: models.list Endpoint Parametri di ricerca Corpo della richiesta Corpo della risposta Rappresentazione JSON Ambiti di autorizzazione Richiesta di esempio Elenca Elenca i Model disponibili tramite l'API Gemini. Endpoint get https: / /generativelanguage.googleapis.com /v1beta /models Parametri di query pageSize integer Il numero massimo di Models da restituire (per pagina). Se non specificato, vengono restituiti 50 modelli per pagina. Questo metodo restituisce al massimo 1000 modelli per pagina, anche se passi un valore pageSize maggiore. pageToken string Un token di pagina ricevuto da una precedente chiamata models.list . Fornisci il valore pageToken restituito da una richiesta come argomento della richiesta successiva per recuperare la pagina successiva. Durante la paginazione, tutti gli altri parametri forniti a models.list devono corrispondere alla chiamata che ha fornito il token di pagina. Corpo della richiesta Il corpo della richiesta deve essere vuoto. Esempio di richiesta Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go Conchiglia curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh Corpo della risposta Risposta da ListModel contenente un elenco paginato di modelli. In caso di esito positivo, il corpo della risposta contiene dati con la seguente struttura: Campi models[] object ( Model ) I modelli restituiti. nextPageToken string Un token, che può essere inviato come pageToken per recuperare la pagina successiva. Se questo campo viene omesso, non verranno visualizzate altre pagine. Rappresentazione JSON { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } Risorsa REST: models Risorsa: modello Rappresentazione JSON Metodi Risorsa: Modello Informazioni su un modello linguistico generativo. Campi name string Obbligatorio. Il nome della risorsa di Model . Per tutti i valori consentiti, consulta Varianti del modello . Formato: models/{model} con una convenzione di denominazione {model} di: "{baseModelId}-{version}" Esempi: models/gemini-1.5-flash-001 baseModelId string Obbligatorio. Il nome del modello di base, passalo alla richiesta di generazione. Esempi: gemini-1.5-flash version string Obbligatorio. Il numero di versione del modello. Rappresenta la versione principale ( 1.0 o 1.5 ) displayName string Il nome leggibile del modello. Ad esempio, "Gemini 1.5 Flash". Il nome può avere fino a 128 caratteri e può essere composto da qualsiasi carattere UTF-8. description string Una breve descrizione del modello. inputTokenLimit integer Numero massimo di token di input consentiti per questo modello. outputTokenLimit integer Numero massimo di token di output disponibili per questo modello. supportedGenerationMethods[] string I metodi di generazione supportati del modello. I nomi dei metodi API corrispondenti sono definiti come stringhe Pascal Case, ad esempio generateMessage e generateContent . thinking boolean Se il modello supporta il pensiero. temperature number Controlla la casualità dell'output. I valori possono variare nell'intervallo [0.0,maxTemperature] , inclusi. Un valore più alto produrrà risposte più varie, mentre un valore più vicino a 0.0 in genere genererà risposte meno sorprendenti da parte del modello. Questo valore specifica il valore predefinito da utilizzare dal backend durante la chiamata al modello. maxTemperature number La temperatura massima che questo modello può utilizzare. topP number Per il campionamento del nucleo . Il campionamento del nucleo considera il più piccolo insieme di token la cui somma di probabilità è almeno topP . Questo valore specifica il valore predefinito da utilizzare dal backend durante la chiamata al modello. topK integer Per il campionamento Top-K. Il campionamento Top-K considera l'insieme dei topK token più probabili. Questo valore specifica il valore predefinito da utilizzare dal backend durante la chiamata al modello. Se è vuoto, indica che il modello non utilizza il campionamento top-k e che topK non è consentito come parametro di generazione. Rappresentazione JSON { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } Metodo: models.predict Endpoint Parametri del percorso Corpo della richiesta Rappresentazione JSON Corpo della risposta Rappresentazione JSON Ambiti di autorizzazione Esegue una richiesta di previsione. Endpoint post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict Parametri del percorso model string Obbligatorio. Il nome del modello per la previsione. Formato: name=models/{model} . Assume la forma models/{model} . Corpo della richiesta Il corpo della richiesta contiene dati con la seguente struttura: Campi instances[] value ( Value format) Obbligatorio. Le istanze che sono l'input della chiamata di previsione. parameters value ( Value format) Facoltativo. I parametri che regolano la chiamata di previsione. Corpo della risposta Messaggio di risposta per [PredictionService.Predict]. In caso di esito positivo, il corpo della risposta contiene dati con la seguente struttura: Campi predictions[] value ( Value format) Gli output della chiamata di previsione. Rappresentazione JSON { "predictions" : [ value ] } Metodo: models.predictLongRunning Endpoint Parametri del percorso Corpo della richiesta Rappresentazione JSON Corpo della risposta Ambiti di autorizzazione Come models.predict, ma restituisce un'operazione di lunga durata. Endpoint post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning Parametri del percorso model string Obbligatorio. Il nome del modello per la previsione. Formato: name=models/{model} . Corpo della richiesta Il corpo della richiesta contiene dati con la seguente struttura: Campi instances[] value ( Value format) Obbligatorio. Le istanze che sono l'input della chiamata di previsione. parameters value ( Value format) Facoltativo. I parametri che regolano la chiamata di previsione. Corpo della risposta In caso di esito positivo, il corpo della risposta contiene un'istanza di Operation . Invia feedback Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0 , mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0 . Per ulteriori dettagli, consulta le norme del sito di Google Developers . Java è un marchio registrato di Oracle e/o delle sue consociate. Ultimo aggiornamento 2025-12-16 UTC. Vuoi dirci altro? [[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Mancano le informazioni di cui ho bisogno","missingTheInformationINeed","thumb-down"],["Troppo complicato/troppi passaggi","tooComplicatedTooManySteps","thumb-down"],["Obsoleti","outOfDate","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Problema relativo a esempi/codice","samplesCodeIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-12-16 UTC."],[],[]] Termini Privacy Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
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Additional restrictions on licensed material What if I received CC-licensed material encumbered with effective technological measures (such as DRM)? What if I have received CC-licensed material with additional restrictions? Combining and adapting CC material When is my use considered an adaptation? Can I combine material under different Creative Commons licenses in my work? If I derive or adapt material offered under a Creative Commons license, which CC license(s) can I use? If I create a collection that includes a work offered under a CC license, which license(s) may I choose for the collection? License termination When do Creative Commons licenses expire? What happens if the author decides to revoke the CC license to material I am using? How can I lose my rights under a Creative Commons license? If that happens, how do I get them back? Technical Questions How do Creative Commons licenses and public domain tools work technically? What does it mean that Creative Commons licenses are “machine-readable”? What is RDFa? What is CC REL and why does Creative Commons recommend it? What does it mean for a search engine to be CC-enabled? How do I give users of my site the option to use CC licensing like Flickr does? How can I change or remove the Creative Commons search option built into the Firefox browser? Is Creative Commons involved in digital rights management (DRM)? Legal Background What is copyright and why does it matter? What is the public domain? What do I need to do to get a copyright? What is an adaptation? What are moral rights? What are neighboring rights? What are sui generis database rights? What are collecting societies? What are publicity, personality, and privacy rights? Data Frequently asked questions about data and CC licenses Can databases be released under CC licenses? When a CC license is applied to a database, what is being licensed? How do I apply a CC legal tool to a database? How do the different CC license elements operate for a CC-licensed database? Can I conduct text/data mining on a CC-licensed database? How does the treatment of sui generis database rights vary in prior versions of CC licenses? What is the difference between the Open Data Commons licenses and the CC 4.0 licenses? Frequently asked questions about data, generally Which components of databases are protected by copyright? How do I know whether a particular use of a database is restricted by copyright? If my use of a database is restricted by copyright, how do I comply with the license? Which components of a database are protected by sui generis database rights? How do I know whether a particular use of a database is restricted by sui generis database rights? What constitutes a “substantial portion” of a database? If my use of a database is restricted by sui generis database rights, how do I comply with the license? Artificial intelligence and CC licenses What are the limits on how CC-licensed works can be used in the development of new technologies, such as training of artificial intelligence software? But what about privacy laws, rules governing ethical research, and data protection laws? What attribution obligations exist when CC-licensed images are included in a published dataset? Is linking to the original image or URI required, and if so, is it adequate? If a for-profit company uses CC-licensed content under a Non Commercial license and releases the work under terms that allow only research purposes, is the NC restriction violated? If CC SA-licensed content is included in a database, does the entire database have to be licensed under an SA license? What, if any, remedies, do users have if they dislike how their photos or images have been reused? Notes These FAQs are designed to provide a better understanding of Creative Commons, our licenses, and our other legal and technical tools. They provide basic information, sometimes about fairly complex topics, and will often link to more detailed information. Other CC FAQs: CC0 Public Domain Dedication and Public Domain Mark . “Licensor”, “rights holder”, “owner”, and “creator” may be used interchangeably to refer to the person or entity applying a CC license. Information about the licenses is primarily made with reference to the 4.0 suite, but earlier license versions are mentioned where they differ. Have a question that isn’t answered here? Contact info@creativecommons.org. Creative Commons does not provide legal advice. This FAQ is for informational purposes and is not a substitute for legal advice. It may not cover important issues that affect you. You should consult with your own lawyer if you have questions. About CC What is Creative Commons and what do you do? Creative Commons is a global nonprofit organization that enables sharing and reuse of creativity and knowledge through the provision of free legal tools. Our legal tools help those who want to encourage reuse of their works by offering them for use under generous, standardized terms; those who want to make creative uses of works; and those who want to benefit from this symbiosis. Our vision is to help others realize the full potential of the internet. CC has affiliates all over the world who help ensure our licenses work internationally and who raise awareness of our work. Although Creative Commons is best known for its licenses, our work extends beyond just providing copyright licenses. CC offers other legal and technical tools that also facilitate sharing and discovery of creative works, such as CC0 , a public domain dedication for rights holders who wish to put their work into the public domain before the expiration of copyright, and the Public Domain Mark , a tool for marking a work that is in the worldwide public domain. Creative Commons licenses and tools were designed specifically to work with the web, which makes content that is offered under their terms easy to search for, discover, and use. For more information about CC, our main website contains in-depth information about the organization , its staff and board of directors , its history , and its supporters . You can also read CC case studies to learn about some of the inspiring ways CC licenses and tools have been used to share works and support innovative business models. You can find regularly updated information about CC by visiting the blog . Is Creative Commons against copyright? Absolutely not. CC has responded to claims to the contrary . CC licenses are copyright licenses, and depend on the existence of copyright to work. CC licenses are legal tools that creators and other rights holders can use to offer certain usage rights to the public, while reserving other rights. Those who want to make their work available to the public for limited kinds of uses while preserving their copyright may want to consider using CC licenses. Others who want to reserve all of their rights under copyright law should not use CC licenses. That said, Creative Commons recognizes the need for change in copyright law, and many members of the Creative Commons community are active participants in the copyright reform movement. For more information, see our statement in support of copyright reform . What does “Some Rights Reserved” mean? Copyright grants to creators a bundle of exclusive rights over their creative works, which generally include, at a minimum, the right to reproduce, distribute, display, and make adaptations. The phrase “All Rights Reserved” is often used by owners to indicate that they reserve all of the rights granted to them under the law. When copyright expires, the work enters the public domain , and the rights holder can no longer stop others from engaging in those activities under copyright, with the exception of moral rights reserved to creators in some jurisdictions. Creative Commons licenses offer creators a spectrum of choices between retaining all rights and relinquishing all rights (public domain), an approach we call “Some Rights Reserved.” Can Creative Commons give legal advice about its licenses or other tools, or help with CC license enforcement? No. Creative Commons is not a law firm and does not provide legal advice or legal services. CC is similar to a self-help service that offers free, form-based legal documents for others to use. These FAQ answers many of the most common questions. There is also specialized information available on the following pages: Marking practices for creators Marking practices for reusers Data FAQ Differences between CC license versions Differences between jurisdiction ports of earlier license versions Public domain mark FAQ CC0 FAQ While CC does provide this informational guidance about its licenses and other tools, this information may not apply to your particular situation, and should never be taken as legal advice. If you’re looking for legal advice about using CC licenses and other tools, we recommend contacting the Creative Commons affiliate in your jurisdiction . CC affiliates are highly connected to the communities of copyright lawyers in their countries. We also offer a list of lawyers and organizations who have identified themselves as willing to provide information to others about CC licensing issues. However, please note that CC does not provide referral services, and does not endorse or recommend any person on that list. Does Creative Commons collect or track material licensed under a CC license? No, CC does not collect content or track licensed material. However, CC builds technical tools that help the public search for and use works licensed under our licenses and other legal tools, and many others have built such tools as well. CC Search is one tool developed by CC to help the public discover works offered under Creative Commons licenses on the internet via CC-aware search engines and repositories. What do the Creative Commons buttons do? The CC buttons are a shorthand way to convey the basic permissions associated with material offered under CC licenses. Creators and owners who apply CC licenses to their material can download and apply those buttons to communicate to users the permissions granted in advance. When the material is offered online, the buttons should usually link out to the human-readable license deeds (which, in turn, link to the license itself). May I use the Creative Commons logo and buttons? You may download high resolution versions of the Creative Commons logos and use them in connection with your work or your website, provided you comply with our policies . Among other things, if you use the logos on a website or on your work, you may not alter the logos in any respect—such as by changing the font, the proportions, or the colors. CC’s buttons, name, and corporate logo (the “CC” in a circle) are trademarks of Creative Commons. You cannot use them in ways not permitted by our policies unless you first receive express, written permission. This means, for example, that you cannot (without our permission) print your own buttons and t-shirts using CC logos, although you can purchase them in CC’s store . I love Creative Commons. How can I help? Please support CC by making a donation through our support page . Donations can be handled through PayPal or by credit card. You can also support CC by visiting our store . CC always welcomes your feedback, which you can provide by emailing info at creativecommons dot org . You can also participate in CC’s email discussion lists and share feedback and ideas in one of those forums. If you are a software developer, sysadmin, or have other technical expertise, please join our developer community and help build the tools that build the commons. Finally, one of the best ways to support CC is by supporting our causes yourself. Follow our blog to find out about current issues where you can help get involved and spread the word, and advocate for free and open licensing in your own communities. Why does Creative Commons run an annual fundraising campaign? What is the money used for and where does it go? Creative Commons is a global nonprofit organization that enables sharing and reuse of creativity and knowledge through free legal tools, with affiliates all over the world who help ensure our licenses work internationally and raise awareness about our work. Our tools are free, and our reach is wide. In order to… continue developing our licenses and public domain tools to make sure they are legally and technically up-to-date around the world, help creators implement these tools on websites through best practices and individual assistance, enable CC licensing on major content-sharing platforms, enhance CC-licensed resource search and discovery, advocate for CC licensing and open policies in education , science , and culture , and myriad other activities we’re forgetting to mention, such as all the everyday boring but essential operations that go into running an organization …we need $ to make it all happen! For more information, please take a look at our Annual Report . Creative Commons has always relied on the generosity of both individuals and organizations to fund its ongoing operations. It is essential we have the public’s support because it is the creators and users of CC material who make our tools relevant in this digital age. They depend on the tools and services CC provides through their reuse and remix of the rich, open resources available on Wikipedia , Flickr , SoundCloud , Vimeo , Europeana , MIT OpenCourseWare , PLOS , Al Jazeera , and YouTube —just to name a few. Many of these people donate $10, $25, or $50 to CC, to help keep it up and running so we can continue to provide our tools and services for free, as a nonprofit organization. The more people who donate to CC, the more independent it will remain. General License Information What are Creative Commons licenses? Creative Commons licenses provide an easy way to manage the copyright terms that attach automatically to all creative material under copyright . Our licenses allow that material to be shared and reused under terms that are flexible and legally sound. Creative Commons offers a core suite of six copyright licenses. Because there is no single “Creative Commons license,” it is important to identify which of the six licenses you are applying to your material, which of the six licenses has been applied to material that you intend to use, and in both cases the specific version. All of our licenses require that users provide attribution (BY) to the creator when the material is used and shared. Some licensors choose the BY license, which requires attribution to the creator as the only condition to reuse of the material. The other five licenses combine BY with one or more of three additional license elements: NonCommercial (NC), which prohibits commercial use of the material; NoDerivatives (ND), which prohibits the sharing of adaptations of the material; and ShareAlike (SA), which requires adaptations of the material be released under the same license. CC licenses may be applied to any type of work, including educational resources , music , photographs , databases , government and public sector information , and many other types of material . The only categories of works for which CC does not recommend its licenses are computer software and hardware. You should also not apply Creative Commons licenses to works that are no longer protected by copyright or are otherwise in the public domain . Instead, for those works in the worldwide public domain, we recommend that you mark them with the Public Domain Mark . How do CC licenses operate? CC licenses are operative only when applied to material in which a copyright exists, and even then only when a particular use would otherwise not be permitted by copyright. Note that the latest version of CC licenses also applies to rights similar to copyright, such as neighboring rights and sui generis database rights . Learn more about the scope of the licenses. This means that CC license terms and conditions are not triggered by uses permitted under any applicable exceptions and limitations to copyright , nor do license terms and conditions apply to elements of a licensed work that are in the public domain. This also means that CC licenses do not contractually impose restrictions on uses of a work where there is no underlying copyright. This feature (and others) distinguish CC licenses from some other open licenses like the ODbL and ODC-BY , both of which are intended to impose contractual conditions and restrictions on the reuse of databases in jurisdictions where there is no underlying copyright or sui generis database right. All CC licenses are non-exclusive: creators and owners can enter into additional, different licensing arrangements for the same material at any time (often referred to as “dual-licensing” or “multi-licensing”). However, CC licenses are not revocable once granted unless there has been a breach, and even then the license is terminated only for the breaching licensee. Please note that CC0 is not a license; it is a public domain dedication. When CC0 is applied to a work, copyright no longer applies to the work in most jurisdictions around the world. Therefore, references to dual licensing arrangements like the one above are inapplicable to CC0. There are also videos and comics that offer visual descriptions of how CC licenses work. Which is the latest version of the licenses offered by Creative Commons? In November 2013, Creative Commons published the version 4.0 license suite. These licenses are the most up-to-date licenses offered by CC, and are recommended over all prior versions. You can see how the licenses have been improved over time on the license versions page . 4.0 has been drafted to be internationally valid, and will have official translations becoming available after publication. Do Creative Commons licenses affect exceptions and limitations to copyright, such as fair dealing and fair use? No. By design, CC licenses do not reduce, limit, or restrict any rights under exceptions and limitations to copyright, such as fair use or fair dealing . If your use of CC-licensed material would otherwise be allowed because of an applicable exception or limitation, you do not need to rely on the CC license or comply with its terms and conditions. This is a fundamental principle of CC licensing. Who gives permission to use material offered under Creative Commons licenses? Our licenses and legal tools are intended for use by anyone who holds copyright in the material. This is often, but not always, the creator. Creative Commons offers licenses and tools to the public free of charge and does not require that creators or other rights holders register with CC in order to apply a CC license to a work. This means that CC does not have special knowledge of who uses the licenses and for what purposes, nor does CC have a way to contact creators beyond means generally available to the public. CC has no authority to grant permission on behalf of those persons, nor does CC manage those rights on behalf of others. If you would like to obtain additional permissions to use the work beyond those granted by the license that has been applied, or if you’re not sure if your intended use is permitted by the license, you should contact the rights holder . Are Creative Commons licenses enforceable in a court of law? Creative Commons licenses are drafted to be enforceable around the world, and have been enforced in court in various jurisdictions. To CC’s knowledge, the licenses have never been held unenforceable or invalid. CC licenses contain a “severability” clause. This allows a court to eliminate any provision determined to be unenforceable, and enforce the remaining provisions of the license. What happens if someone applies a Creative Commons license to my work without my knowledge or authorization? CC alerts prospective licensors they need to have all necessary rights before applying a CC license to a work. If that is not the case and someone has marked your work with a CC license without your authorization, you should contact that person and tell them to remove the license from your work. You may also wish to contact a lawyer. Creative Commons is not a law firm and cannot represent you or give you legal advice, but there are lawyers who have identified themselves as interested in representing people in CC-related matters . What are the international (“unported”) Creative Commons licenses, and why does CC offer “ported” licenses? One of CC’s goals is ensuring that all of its legal tools work globally, so that anyone anywhere in the world can share their work on globally standard terms. To this end, CC offers a core suite of six international copyright licenses (formerly called the “unported”) that are drafted based largely on various international treaties governing copyright , taking into account as many jurisdiction-specific legal issues as possible. The latest version (4.0) has been drafted with particular attention to the needs of international enforceability. For version 3.0 and earlier, Creative Commons has also offered ported versions of its six core licenses for many jurisdictions (which usually correspond to countries, but not always). These ported licenses are based on the international license suite but have been modified to reflect local nuances in the expression of legal terms and conditions, drafting protocols, and language. The ported licenses and the international licenses are all intended to be legally effective everywhere. CC expects that few, if any, ports will be necessary for 4.0. CC recommends that you take advantage of the improvements in the 4.0 suite explained on the license versions page unless there are particular considerations you are aware of that would require a ported license. Can I include a work licensed with CC BY in a Wikipedia article even though they use a CC BY-SA license? Yes. Works licensed under CC BY may be incorporated into works that are licensed under CC BY-SA. For example, you may incorporate a CC BY photograph into a Wikipedia article so long as you keep all copyright notices intact, provide proper attribution, and otherwise comply with the terms of CC BY. Learn more about the licenses. Can governments and intergovernmental organizations (“IGOs”) use CC licenses? Yes, anyone may use CC licenses for material they own, including governments and IGOs, and these institutions frequently use CC licenses on their copyrightable material . The reasons for doing so vary, and often include a desire to maximize the impact and utility of works for educational and informational purposes, and to enhance transparency. Creative Commons licenses have desirable features that make them the preferred choice over custom licenses. CC licenses are standard and interoperable, which means material published by different creators using the same type of CC license can be translated, modified, compiled, and remixed without legal barriers depending on the particular license applied . Creative Commons licenses are also machine-readable, allowing CC-licensed works to be easily discovered via search engines such as Google. These features maximize distribution, reuse, and impact of works published by governments and IGOs. Though we encourage anyone to use version 4.0, which is internationally valid and may be used by individuals as well as organizations, there is an IGO ported version of 3.0 that IGOs may also use. Read more about how governments and IGOs use and leverage CC licenses and legal tools, considerations for using our licenses, and how they operate in the IGO context. Can children apply Creative Commons licenses to work they create? This issue depends largely on the laws in place where the child lives. In the United States, children can be copyright holders and are entitled to license their works in the same manner as adults. However, they may have the right to disaffirm certain types of legal agreements, including licenses. In many parts of the United States, for example, children have the ability to disaffirm some types of agreements under certain circumstances once they reach the age where they are considered adults within the relevant jurisdiction. We are unaware of any attempt by a licensor to exercise the disaffirmation right with respect to a CC license applied to a work. What are the official translations of the CC licenses and CC0? Official language translations will be available for the 4.0 licenses and CC0. When you license your own work, you may use or link to the text of any available official translation. When you reuse CC-licensed material, you may comply with the license conditions by referring to any available official translation of the license. These translations are linguistic translations of the English version which adhere as closely as possible to the original text. These translations have been done by our affiliates in accordance with the Legal Code Translation Policy and with the oversight and detailed review of the CC legal team. Note that these are equivalents of the original English; these translations are not jurisdiction ported versions . You may find a list of all available translations here . For versions 3.0 and earlier, official translations are not available. Some unofficial translations were made for informational purposes only. (Jurisdiction ported versions of version 3.0 and earlier were generally published in the official language(s) of the appropriate jurisdiction. However, the ported licenses are not equivalent to the international licenses, and do not serve as substitutable references for purposes of complying with the terms and conditions of the licenses.) What is a BY-SA Compatible License? A BY-SA Compatible License is a license officially designated by Creative Commons pursuant to the ShareAlike compatibility process . Once deemed a BY-SA Compatible License, you may use the license to publish your contributions to an adaptation of a BY-SA work. To see the list of BY-SA Compatible Licenses, click here . Learn more about ShareAlike compatibility here . For Licensors Choosing a license What things should I think about before I apply a Creative Commons license? Applying a Creative Commons license to your material is a serious decision. When you apply a CC license, you give permission to anyone to use your material for the full duration of applicable copyright and similar rights. CC has identified some things that you should consider before you apply a CC license, some of which relate to your ability to apply a CC license at all. Here are some highlights: Is the material copyrightable? If not, is it subject to neighboring rights or sui generis database rights ? CC licenses do not apply to material in the public domain . Different countries have different standards for what is in the public domain. Do you own the material you want to license? If not, are you otherwise authorized to license it under the specific CC license you are interested in using? You should not apply a license to material that you do not own or that you are not authorized to license. Are you aware that CC licenses are not revocable ? You are free to stop offering material under a CC license at any time, but this will not affect the rights associated with any copies of your work already in circulation. (Any particular licensee may lose his or her rights after violating the license, but this does not affect continual use of the work by other licensees.) Are you a member of a collecting society ? If you are, you should make sure that you are able to use CC licenses for your materials . Always read the terms and conditions of the specific license you plan to apply. Additionally, there are several terms that may differ in the earlier versions of the license , both unported and ported. If you choose to use a pre-4.0 version or any ported version , clauses such as choice of law may affect your desired choice of license. How should I decide which license to choose? If you are unsure which license best suits your needs, there are plenty of resources to help rights holders choose the right CC license. CC Australia has developed a flow chart that may be useful in helping you settle on the right license for your work. You can also read case studies of others who are using CC licenses. The CC community can also respond to questions, and may have already addressed issues you raise. The CC community email discussion lists and discussion archives may be useful resources. Finally, you may also want to consult with a lawyer to obtain advice on the best license for your needs. Why should I use the latest version of the Creative Commons licenses? The latest version of the Creative Commons licenses is version 4.0. You should always use the latest version of the Creative Commons licenses in order to take advantage of the many improvements described on the license versions page . In particular, 4.0 is meant to be better suited to international use, and use in many different contexts, including sharing data . What if CC licenses have not been ported to my jurisdiction? All CC licenses are intended to work worldwide. Unless you have a specific reason to use a ported license , we suggest you consider using one of the international licenses. 4.0 will support official translations of the international license for those who wish to use the licenses in another language. As of version 4.0, CC is discouraging ported versions, and has placed a hold on new porting projects following its publication until sometime in 2014. At that point, CC will reevaluate the necessity of porting in the future. Should I choose an international license or a ported license? We recommend that you use a version 4.0 international license. This is the most up-to-date version of our licenses, drafted after broad consultation with our global network of affiliates, and it has been written to be internationally valid. There are currently no ports of 4.0, and it is planned that few, if any, will be created. All of the ported licenses are at version 3.0 or earlier, which means licensors using those licenses do not have the benefit of the improvements made in the 4.0 license suite . But even before considering the improvements in 4.0, there are several reasons why the international licenses may be preferable for rights holders, even if the licenses have been ported to their jurisdiction. As an organization, CC itself licenses all of its own content under an international license because, among other reasons, the international licenses are essentially jurisdiction-neutral while remaining effective globally. The neutral nature of the international licenses appeals to many people and organizations, particularly for use in connection with global projects that transcend political borders. Finally, it is important to know that some of the ported licenses contain a choice of law provision, which may be undesirable for your needs. However, some rights holders still choose a license ported to their local jurisdiction because they believe their needs are not sufficiently met by the international licenses. If the licenses have been ported to your jurisdiction and you feel that the ported licenses better account for some aspect of local legislation, then you may wish to consider a ported license. You can use our jurisdiction database to compare international licenses and ports on these issues and others, such as whether a ported license contains a choice of law or forum selection clause. Why should I use the license chooser? What if I don’t? Licensors are not required to use the CC license chooser or provide any information about themselves or their material when applying a CC license to their material. However, using the license chooser enables licensors to take advantage of the “machine readable” layer of CC licenses. Our machine-readable code enhances the discoverability of your work because that code allows software, search engines, and other tools to recognize when something is licensed under a CC license. The code also facilitates attribution: when users click on the CC button placed on your site, they will be linked directly to HTML code that they can cut and paste to provide attribution. How do I apply a Creative Commons license to my material? For online material : Select the license that is appropriate for your material from the CC license chooser and then follow the instructions to include the HTML code. The code will automatically generate a license button and a statement that your material is licensed under a CC license. If you are only licensing part of a work (for example, if you have created a video under a CC license but are using a song under a different license), be sure to clearly mark which parts are under the CC license and which parts are not. The HTML code will also include metadata, which allows the material to be discovered via Creative Commons-enabled search engines . For offline material : Identify which license you wish to apply to your work and either (a) mark your work with a statement such as, “This work is licensed under the Creative Commons [insert description] License. To view a copy of the license, visit [insert url]”; or (b) insert the applicable license buttons with the same statement and URL link. For third-party platforms : Many media platforms like Flickr , YouTube , and SoundCloud have built-in Creative Commons capabilities, letting users mark their material with a CC license through their account settings. The benefit of using this functionality is that it allows other people to find your content when searching on those platforms for CC-licensed material . If the platform where you’re uploading your content does not support CC licensing, you can still identify your content as CC-licensed in the text description of your content. Legally, these three options are the same. The only difference between applying a CC license offline rather than online is that marking a work online with metadata will ensure that users will be able to find it through CC-enabled search engines. CC offers resources on the best practices for marking your material and on how to mark material in different media (.pdf) . Do I need to register with Creative Commons before I obtain a license? No. CC offers its licenses, code, and tools to the public free of charge, without obligation. You do not need to register with Creative Commons to apply a CC license to your material; it is legally valid as soon as you apply it to any material you have the legal right to license. CC does not require or provide any means for creators or other rights holders to register use of a CC license, nor does CC maintain a database of works distributed under Creative Commons licenses. CC also does not require registration of the work with a national copyright agency. What do the terms and conditions of a CC license apply to? Although CC licenses get attached to tangible works (such as photos and novels), the license terms and conditions apply to the licensor’s copyright in the licensed material. The public is granted “permission to exercise” those rights in any medium or format . It is the expression that is protected by copyright and covered by the licenses, not any particular medium or format in which the expression is manifested. This means, for example, that a CC license applied to a digitized copy of a novel grants the public permission under copyright to use a print version of the same novel on the same terms and conditions (though you may have to purchase the print version from a bookstore). Can I apply a Creative Commons license to software? We recommend against using Creative Commons licenses for software. Instead, we strongly encourage you to use one of the very good software licenses which are already available. We recommend considering licenses listed as free by the Free Software Foundation and listed as “open source” by the Open Source Initiative . Unlike software-specific licenses, CC licenses do not contain specific terms about the distribution of source code, which is often important to ensuring the free reuse and modifiability of software. Many software licenses also address patent rights, which are important to software but may not be applicable to other copyrightable works. Additionally, our licenses are currently not compatible with the major software licenses, so it would be difficult to integrate CC-licensed work with other free software. Existing software licenses were designed specifically for use with software and offer a similar set of rights to the Creative Commons licenses. Version 4.0 of CC’s Attribution-ShareAlike (BY-SA) license is one-way compatible with the GNU General Public License version 3.0 (GPLv3). This compatibility mechanism is designed for situations in which content is integrated into software code in a way that makes it difficult or impossible to distinguish the two. There are special considerations required before using this compatibility mechanism. Read more about it here . Also, the CC0 Public Domain Dedication is GPL-compatible and acceptable for software. For details, see the relevant CC0 FAQ entry . While we recommend against using a CC license on software itself, CC licenses may be used for software documentation, as well as for separate artistic elements such as game art or music. Can I apply a Creative Commons license to databases? Yes. CC licenses can be used on databases . In the 4.0 license suite, applicable sui generis database rights are licensed under the same license conditions as copyright. Many governments and others use CC licenses for data and databases. For more detailed information about how CC licenses apply to data and databases, visit our detailed Data FAQ . Could I use a CC license to share my logo or trademark? Creative Commons does not recommend using a CC license on a logo or trademark. While a logo or trademark can be covered by copyright laws in addition to trademark laws, the special purposes of trademarks make CC licenses an unsuitable mechanism for sharing them in most cases. Generally, logos and trademarks are used to identify the origin of a product or service, or to indicate that it meets a specific standard or quality. Allowing anyone to reuse or modify your logo or trademark as a matter of copyright could result in your inability to limit use of your logo or trademark selectively to accomplish those purposes. Applying a CC license to your trademarks and logos could even result in a loss of your trademark rights altogether. See below for more about how to license material that includes a trademark or logo. There are other ways to share your logos and trademarks widely while preserving your trademark rights. Establishing a trademark policy that grants permissions in advance for limited uses is one common alternative. Mozilla , Wikimedia , and Creative Commons have each published policies that accomplish the dual objectives of encouraging reuse and preserving trademark rights. May I apply a Creative Commons license to a work in the public domain? CC licenses should not be applied to works in the worldwide public domain . All CC licenses are clear that they do not have the effect of placing restrictions on material that would otherwise be unrestricted, and you cannot remove a work from the public domain by applying a CC license to it. If you want to dedicate your own work to the public domain before the expiration of applicable copyright or similar rights, use CC’s legally robust public domain dedication . If a work is already in the worldwide public domain, you should mark it with CC’s Public Domain Mark . Note that, in some cases, a work may be in the public domain under the copyright laws of some jurisdictions but not others. For example, U.S. government works are in the public domain under the copyright law of the United States, but may be protected by copyright laws in other jurisdictions. A CC license applied to such a work would be effective (and the license restrictions enforceable) in jurisdictions where copyright protection exists, but would not be operative if U.S. copyright law is determined to be the applicable law. Creators may also apply Creative Commons licenses to material they create that are adapted from public domain works, or to remixed material, databases, or collections that include work in the public domain. However, in each of these instances, the license does not affect parts of the work that are unrestricted by copyright or similar rights. We strongly encourage you to mark the public domain material , so that others know they are also free to use this material without legal restriction. If I take a photograph of another work that is in the public domain, can I apply a CC license to my photo? That depends. You can apply a CC license to your photograph if your photograph constitutes a work of original authorship, a question that varies by jurisdiction. As a general matter, your photograph must involve some creative choices, such as background setting, lighting, angle, or other mark of creativity. In the United States, an exact photographic copy of a public domain work is not subject to copyright because there is no originality (even if there is effort or “sweat” exerted in its creation). In practice, if your photograph is sufficiently creative to attract copyright protection, people will likely have to comply with the license conditions if they reproduce your entire photograph in verbatim form, absent some applicable exception or limitation such as fair use. However, they would not have to comply with the license conditions if they reproduce only those parts of the work in the public domain . This is because your copyright in the adaptation only extends to the material you contributed, not to the underlying work. May I apply a CC license to my work if it incorporates material used under fair use or another exception or limitation to copyright? Yes, but it is important to prominently mark any third party material you incorporate into your work so reusers do not think the CC license applies to that material. The CC license only applies to the rights you have in the work. For example, if your CC-licensed slide deck includes a Flickr image you are using pursuant to fair use, make sure to identify that image as not being subject to the CC license. For more information about incorporating work owned by others, see our page about marking third party content . Read more considerations for licensors here . Rights other than copyright Can I use CC licenses to license rights other than copyright? CC licenses are copyright licenses, but the latest version of CC licenses also cover certain other rights similar to cop	2026-01-13T09:29:50
https://pdimagearchive.org/images/d1309fe2-c17a-4e85-971e-7c87e6054776	‘The Tubes (View from an Aeronef at 700 Meters)’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Tubes (View from an Aeronef at 700 Meters) Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 834 x 1200 Higher res available? Download Image Styles Book Illustration Themes Communication Technology The Future Tags perspective rural future cities foliage landscapes architecture retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
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https://ai.google.dev/api/models?hl=fa	Models  \|  Gemini API  \|  Google AI for Developers رد شدن و رفتن به محتوای اصلی / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 کلید API را دریافت کنید کتاب آشپزی انجمن ورود به برنامه اسناد مرجع API Gemini API اسناد مرجع API کلید API را دریافت کنید کتاب آشپزی انجمن نمای کلی نسخه های API قابلیت ها مدل ها تولید محتوا Live API Live Music API API تعاملات توکن ها فایل ها Batch API ذخیره سازی جاسازی‌ها جستجوی فایل فروشگاه‌های جستجوی فایل سند همه روش ها منسوخ پالم (از بین رفته) مراجع SDK Python Go TypeScript Java C# این صفحه به‌وسیله ‏Cloud Translation API‏ ترجمه شده است. صفحه اصلی Gemini API مرجع API ارسال بازخورد Models نقطه پایانی مدل‌ها راهی را برای شما فراهم می‌کند تا به صورت برنامه‌نویسی، مدل‌های موجود را فهرست کنید و فراداده‌های توسعه‌یافته مانند قابلیت‌های پشتیبانی‌شده و اندازه پنجره زمینه را بازیابی کنید. برای اطلاعات بیشتر به راهنمای مدل‌ها مراجعه کنید. روش: models.get نقطه پایانی پارامترهای مسیر درخواست بدنه بدنه پاسخ دامنه‌های مجوز درخواست نمونه دریافت اطلاعاتی در مورد یک Model خاص مانند شماره نسخه، محدودیت‌های توکن، پارامترها و سایر فراداده‌ها را دریافت می‌کند. برای اطلاعات دقیق مدل، به راهنمای مدل‌های Gemini مراجعه کنید. نقطه پایانی دریافت https: / /generativelanguage.googleapis.com /v1beta /{name=models /} پارامترهای مسیر string name الزامی. نام منبع مدل. این نام باید با نام مدلی که توسط متد models.list برگردانده می‌شود، مطابقت داشته باشد. قالب: models/{model} به شکل models/{model} است. درخواست بدنه بدنه درخواست باید خالی باشد. درخواست نمونه پایتون from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py برو ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go پوسته curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh بدنه پاسخ در صورت موفقیت، بدنه پاسخ شامل نمونه‌ای از Model است. روش: models.list نقطه پایانی پارامترهای پرس و جو درخواست بدنه بدنه پاسخ نمایش JSON دامنه‌های مجوز درخواست نمونه فهرست Model موجود از طریق رابط برنامه‌نویسی نرم‌افزار Gemini را فهرست می‌کند. نقطه پایانی دریافت https: / /generativelanguage.googleapis.com /v1beta /models پارامترهای پرس و جو integer pageSize حداکثر تعداد Models که باید برگردانده شوند (در هر صفحه). اگر مقدار مشخص نشده باشد، در هر صفحه ۵۰ مدل برگردانده می‌شود. این متد حداکثر ۱۰۰۰ مدل در هر صفحه برمی‌گرداند، حتی اگر اندازه صفحه بزرگتری را ارسال کنید. string pageToken یک توکن صفحه، که از فراخوانی قبلی models.list دریافت شده است. pageToken برگردانده شده توسط یک درخواست را به عنوان آرگومان برای درخواست بعدی جهت بازیابی صفحه بعدی ارائه دهید. هنگام صفحه‌بندی، تمام پارامترهای دیگر ارائه شده به models.list باید با فراخوانی که توکن صفحه را ارائه داده است، مطابقت داشته باشند. درخواست بدنه بدنه درخواست باید خالی باشد. درخواست نمونه پایتون from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py برو ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go پوسته curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh بدنه پاسخ پاسخ از ListModel حاوی فهرستی صفحه‌بندی‌شده از مدل‌ها. در صورت موفقیت، بدنه پاسخ شامل داده‌هایی با ساختار زیر است: فیلدها شیء models[] object ( Model ) مدل‌های بازگردانده شده string nextPageToken یک توکن، که می‌تواند به عنوان pageToken برای بازیابی صفحه بعدی ارسال شود. اگر این فیلد حذف شود، صفحات بیشتری وجود نخواهد داشت. نمایش JSON { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } منبع REST: مدل‌ها منبع: مدل نمایش JSON روش‌ها منبع: مدل اطلاعاتی در مورد مدل زبان زایشی. فیلدها string name الزامی. نام منبع Model . برای مشاهده‌ی تمام مقادیر مجاز به انواع مدل مراجعه کنید. قالب: models/{model} با قرارداد نامگذاری {model} از: "{baseModelId}-{version}" مثال‌ها: models/gemini-1.5-flash-001 string baseModelId الزامی. نام مدل پایه، این را به درخواست تولید ارسال کنید. مثال‌ها: gemini-1.5-flash string version الزامی. شماره نسخه مدل. این نشان دهنده نسخه اصلی ( 1.0 یا 1.5 ) است string displayName نام مدل که برای انسان قابل خواندن باشد. مثلاً "Gemini 1.5 Flash". این نام می‌تواند تا ۱۲۸ کاراکتر داشته باشد و می‌تواند شامل هر کاراکتر UTF-8 باشد. string description شرح مختصری از مدل. integer inputTokenLimit حداکثر تعداد توکن‌های ورودی مجاز برای این مدل. integer outputTokenLimit حداکثر تعداد توکن‌های خروجی موجود برای این مدل. string supportedGenerationMethods[] روش‌های تولید پشتیبانی‌شده توسط مدل. نام متدهای API مربوطه به صورت رشته‌های حالت پاسکال تعریف می‌شوند، مانند generateMessage و generateContent . thinking boolean اینکه آیا مدل از تفکر پشتیبانی می‌کند یا خیر. number temperature تصادفی بودن خروجی را کنترل می‌کند. مقادیر می‌توانند شامل [0.0,maxTemperature] باشند. مقدار بالاتر، پاسخ‌هایی با تنوع بیشتر تولید می‌کند، در حالی که مقداری نزدیک‌تر به 0.0 معمولاً منجر به پاسخ‌های کمتر غافلگیرکننده از مدل می‌شود. این مقدار، مقدار پیش‌فرضی را که توسط backend هنگام فراخوانی مدل استفاده می‌شود، مشخص می‌کند. number maxTemperature حداکثر دمایی که این مدل می‌تواند استفاده کند. number topP برای نمونه‌برداری از هسته نمونه‌گیری هسته‌ای، کوچکترین مجموعه از توکن‌ها را که مجموع احتمال آنها حداقل topP باشد، در نظر می‌گیرد. این مقدار، مقدار پیش‌فرضی را که باید توسط backend هنگام فراخوانی مدل استفاده شود، مشخص می‌کند. integer topK برای نمونه‌برداری Top-k. نمونه‌گیری Top-k، مجموعه‌ای از محتمل‌ترین توکن‌های topK را در نظر می‌گیرد. این مقدار، مقدار پیش‌فرضی را که باید توسط backend هنگام فراخوانی مدل استفاده شود، مشخص می‌کند. اگر خالی باشد، نشان می‌دهد که مدل از نمونه‌گیری top-k استفاده نمی‌کند و topK به عنوان پارامتر تولید مجاز نیست. نمایش JSON { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } روش: models.predict نقطه پایانی پارامترهای مسیر درخواست بدنه نمایش JSON بدنه پاسخ نمایش JSON دامنه‌های مجوز درخواست پیش‌بینی را انجام می‌دهد. نقطه پایانی پست https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict پارامترهای مسیر string model الزامی. نام مدل برای پیش‌بینی. قالب: name=models/{model} . به شکل models/{model} است. درخواست بدنه بدنه درخواست شامل داده‌هایی با ساختار زیر است: فیلدها مقدار instances[] value ( Value format) الزامی. نمونه‌هایی که ورودی فراخوانی پیش‌بینی هستند. مقدار parameters value ( Value format) اختیاری. پارامترهایی که فراخوانی پیش‌بینی را کنترل می‌کنند. بدنه پاسخ پیام پاسخ برای [PredictService.Predict]. در صورت موفقیت، بدنه پاسخ شامل داده‌هایی با ساختار زیر است: فیلدها مقدار predictions[] value ( Value format) خروجی‌های فراخوانی پیش‌بینی. نمایش JSON { "predictions" : [ value ] } روش: models.predictLongRunning نقطه پایانی پارامترهای مسیر درخواست بدنه نمایش JSON بدنه پاسخ دامنه‌های مجوز همانند models.predict است اما یک LRO برمی‌گرداند. نقطه پایانی پست https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning پارامترهای مسیر string model الزامی. نام مدل برای پیش‌بینی. قالب: name=models/{model} . درخواست بدنه بدنه درخواست شامل داده‌هایی با ساختار زیر است: فیلدها مقدار instances[] value ( Value format) الزامی. نمونه‌هایی که ورودی فراخوانی پیش‌بینی هستند. مقدار parameters value ( Value format) اختیاری. پارامترهایی که فراخوانی پیش‌بینی را کنترل می‌کنند. بدنه پاسخ در صورت موفقیت، بدنه پاسخ شامل نمونه‌ای از Operation است. ارسال بازخورد جز در مواردی که غیر از این ذکر شده باشد،‌محتوای این صفحه تحت مجوز Creative Commons Attribution 4.0 License است. نمونه کدها نیز دارای مجوز Apache 2.0 License است. برای اطلاع از جزئیات، به خطمشی‌های سایت Google Developers‏ مراجعه کنید. جاوا علامت تجاری ثبت‌شده Oracle و/یا شرکت‌های وابسته به آن است. تاریخ آخرین به‌روزرسانی 2025-12-16 به‌وقت ساعت هماهنگ جهانی. می‌خواهید موارد بیشتری را با ما درمیان بگذارید؟ [[["درک آسان","easyToUnderstand","thumb-up"],["مشکلم را برطرف کرد","solvedMyProblem","thumb-up"],["غیره","otherUp","thumb-up"]],[["اطلاعاتی که نیاز دارم وجود ندارد","missingTheInformationINeed","thumb-down"],["بیش‌ازحد پیچیده/ مراحل بسیار زیاد","tooComplicatedTooManySteps","thumb-down"],["قدیمی","outOfDate","thumb-down"],["مشکل ترجمه","translationIssue","thumb-down"],["مشکل کد / نمونه‌ها","samplesCodeIssue","thumb-down"],["غیره","otherDown","thumb-down"]],["تاریخ آخرین به‌روزرسانی 2025-12-16 به‌وقت ساعت هماهنگ جهانی."],[],[]] شرایط حریم خصوصی Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://www.cisco.com/c/en_ae/solutions/collaboration/index.html	Business Collaboration Solutions - Cisco Skip to Main content Skip to search Skip to Footer Cisco.com Middle East Products and Services Solutions Support Learn Explore Cisco How to Buy Partners Home Partner Program Support Tools Find a Cisco Partner Meet our Partners Become a Cisco Partner Solutions Business Collaboration Solutions Connect, communicate, and collaborate securely and reliably. See what's possible Contact Cisco Get a call from Sales Product / Technical Support Work the way you want from anywhere Keep your organization connected with seamless collaboration across distributed teams. No matter where employees are located, organizations are seeking stronger employee engagement and customer experiences to enable more productivity and greater business agility. More effective collaboration helps organizations work smarter. 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Webex Contact Center Webex Contact Center Enterprise Cisco Unified Contact Center Express Cisco Unified Contact Center Enterprise All contact center products Conferencing Simplify teamwork with intuitive solutions that bring people together. Webex Meetings Webex Support Webex Events Meeting Server All conferencing products Collaboration Endpoints Award-winning devices make virtual collaboration even more lifelike. Business IP Phones Headsets Huddle spaces Webex Rooms All endpoint products See the platform advantage Control Hub Latest news and innovations Introducing the Webex Suite See how the Webex Suite provides the most seamless, engaging, intelligent and inclusive collaboration. People Insights Webex powers personal well-being, higher performing teams, and inclusive collaboration. Customer experience as a service Get exceptional experiences for customers for every interaction, across any channel with Webex Contact Center. Global workforce survey The workplace has undergone a dramatic shift that is fundamentally changing how we work. See recent news Read blog Webex integrations and strategic alliances Innovative collaboration experiences Work the way you want. Boost productivity by integrating applications with Webex. Integrate with Webex View Webex partnerships Latest products Webex Desk Camera Get up to 4K ultra-HD video, incredible low-light performance, and remote IT management. Webex Wireless Phone Secure, ruggedized and customizable. It’s a smartphone built for on-call workstyles. Webex Room Navigator Intuitive, touch-based conference room controller to get intelligent office space insight. Cisco Webex Room Phone It's more than a conference phone; it’s designed for collaborative meetings. Webex Cloud-Connected UC Optimize operations for Cisco UCM with centralized, cloud-based admin services. Webex Desk Pro The most powerful, all-in-one collaboration device designed for the desk. Cisco Webex Room USB The Bring Your Own Device (BYOD) solution offers high-quality wireless sharing and video collaboration. Webex Experience Management This AI-powered next-generation solution takes customer experience to new heights. Webex Room Panorama The solution offers an immersive telepresence with a 360-video conferencing camera for the modern conference room. Cisco Headsets These professional headsets extend the secure and reliable collaboration experience for today's workstyles. Webex Contact Center Enterprise This cloud contact center solution scales to thousands of agents with extensive APIs for customization. Webex Calling This cloud-native calling solution offers flexibility to move your business to the cloud at your own pace. For partners Are you a Cisco partner?   Log in  to see additional resources. Looking for a solution from a Cisco partner? Connect with our  partner ecosystem .  Customer and industry perspectives Analyst reports Get analyst insights Find out how analysts compare Cisco collaboration products and services to those of competitors. Perspectives Hear from Cisco customers Learn how our customers use Cisco's award-winning collaboration solutions to accelerate their business. Case studies Explore case studies Find stories of organizations that are using our collaboration technology to innovate and compete. Collaboration events and webinars Collaboration Events Visit Cisco at upcoming events to experience the all new Collaboration suite. Attend an event Collaboration Webinars Join an upcoming business collaboration live event or watch an on-demand replay. View webinars and demos Creating a new approach for political debates “ By marrying the traditional tools of broadcasting with meeting and collaboration technology, we aimed to create something truly unique. I think together, we accomplished that. And it's only getting better. ” Adam Woodlief, Chief Technology Officer, Georgia Public Broadcasting Watch experience (1:42) See all case studies Enable highly secure, reliable remote collaboration Transform the way you collaborate. Activate peak performance and productivity and exceptional customer experiences with our services. Learn how Explore all services Small business collaboration tools Keep your teams happier, more productive, and more connected than ever before with powerful collaboration tools designed for the small business. Explore Cisco Designed Explore partnerships Collaboration events View case studies See real experiences	2026-01-13T09:29:50
https://ai.google.dev/api/models?hl=zh-tw	Models  \|  Gemini API  \|  Google AI for Developers 跳至主要內容 / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 取得 API 金鑰教戰手冊 Community 登入文件 API 參考資料 Gemini API 文件 API 參考資料取得 API 金鑰教戰手冊 Community 總覽 API 版本功能模型正在產生內容 Live API Live Music API Interactions API 權杖檔案 Batch API 快取嵌入檔案搜尋檔案搜尋商店文件所有方法已淘汰 PaLM (裝飾) SDK 參考資料 Python Go TypeScript Java C# 首頁 Gemini API API 參考資料提供意見 Models 您可以使用 Models 端點，以程式輔助方式列出可用模型，並擷取擴充中繼資料，例如支援的功能和內容視窗大小。詳情請參閱模型指南。方法：models.get 端點路徑參數要求主體回應主體授權範圍要求範例取得取得特定 Model 的相關資訊，例如版本號碼、權杖限制、參數和其他中繼資料。如需詳細模型資訊，請參閱 Gemini 模型指南。端點 get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} 路徑參數 name string 必要欄位。模型的資源名稱。這個名稱應與 models.list 方法傳回的模型名稱相符。格式： models/{model} ，形式為 models/{model} 。要求主體要求主體必須為空白。要求範例 Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go 貝殼 curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh 回應主體如果成功，回應主體會包含 Model 的執行例項。方法：models.list 端點查詢參數要求主體回應主體 JSON 表示法授權範圍要求範例清單列出透過 Gemini API 提供的 Model s 。端點 get https: / /generativelanguage.googleapis.com /v1beta /models 查詢參數 pageSize integer 要傳回的 Models 數量上限 (每頁)。如未指定，每頁最多會傳回 50 個模型。即使您傳遞較大的 pageSize，這個方法每頁最多只會傳回 1000 個模型。 pageToken string 屬於接收自前一個 models.list 呼叫的網頁權杖。將一個要求傳回的 pageToken 做為下一個要求的引數，即可擷取下一頁。進行分頁時，提供至 models.list 的所有其他參數須與提供網頁權杖的呼叫相符。要求主體要求主體必須為空白。要求範例 Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go 貝殼 curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh 回應主體 ListModel 的回應，其中包含分頁的模型清單。如果成功，回應主體會含有以下結構的資料：欄位 models[] object ( Model ) 傳回的模型。 nextPageToken string 可做為 pageToken 傳送的權杖，用於擷取後續網頁。如果省略這個欄位，就不會有後續頁面。 JSON 表示法 { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } REST 資源：models 資源：模型 JSON 表示法方法資源：Model 生成式語言模型相關資訊。欄位 name string 必要欄位。 Model 的資源名稱。如需所有允許的值，請參閱「模型變體」。格式： models/{model} ，命名慣例為 {model} ： "{baseModelId}-{version}" 範例： models/gemini-1.5-flash-001 baseModelId string 必要欄位。基礎模型的名稱，請將此名稱傳遞至生成要求。範例： gemini-1.5-flash version string 必要欄位。模型的版本號碼。這代表主要版本 ( 1.0 或 1.5 ) displayName string 模型的使用者可解讀名稱。例如「Gemini 1.5 Flash」。名稱長度上限為 128 個字元，可以使用任何 UTF-8 字元。 description string 模型的簡短說明。 inputTokenLimit integer 這個模型允許的輸入權杖數量上限。 outputTokenLimit integer 這個模型可用的輸出權杖數量上限。 supportedGenerationMethods[] string 模型支援的生成方法。對應的 API 方法名稱定義為大駝峰式命名法字串，例如 generateMessage 和 generateContent 。 thinking boolean 模型是否支援思考。 temperature number 控制輸出內容的隨機程度。值的範圍為 [0.0,maxTemperature] (含)。值越高，模型生成的回覆就越多元；值越接近 0.0 ，模型生成的回覆就越不令人意外。這個值指定後端在呼叫模型時使用的預設值。 maxTemperature number 這個模型可使用的最高溫度。 topP number 適用於核心取樣。核心取樣會考慮機率總和至少為 topP 的最小符記集。這個值指定後端在呼叫模型時使用的預設值。 topK integer 適用於 Top-k 取樣。 Top-k 取樣會考慮一組最有可能的 topK 個符記。這個值指定後端在呼叫模型時使用的預設值。如果為空白，表示模型不會使用 top-k 抽樣，且不允許 topK 做為生成參數。 JSON 表示法 { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } 方法：models.predict 端點路徑參數要求主體 JSON 表示法回應主體 JSON 表示法授權範圍執行預測要求。端點 post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict 路徑參數 model string 必要欄位。用於預測的模型名稱。格式： name=models/{model} 。格式為 models/{model} 。要求主體要求主體會包含結構如下的資料：欄位 instances[] value ( Value format) 必要欄位。做為預測呼叫輸入內容的執行個體。 parameters value ( Value format) (選用步驟) 控管預測呼叫的參數。回應主體 [PredictionService.Predict] 的回應訊息。如果成功，回應主體會含有以下結構的資料：欄位 predictions[] value ( Value format) 預測呼叫的輸出內容。 JSON 表示法 { "predictions" : [ value ] } 方法：models.predictLongRunning 端點路徑參數要求主體 JSON 表示法回應主體授權範圍與 models.predict 相同，但會傳回 LRO。端點 post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning 路徑參數 model string 必要欄位。用於預測的模型名稱。格式： name=models/{model} 。要求主體要求主體會包含結構如下的資料：欄位 instances[] value ( Value format) 必要欄位。做為預測呼叫輸入內容的執行個體。 parameters value ( Value format) (選用步驟) 控管預測呼叫的參數。回應主體如果成功，回應主體會包含 Operation 的執行例項。提供意見除非另有註明，否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權，程式碼範例則為阿帕契 2.0 授權。詳情請參閱《 Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。上次更新時間：2025-12-16 (世界標準時間)。想進一步說明嗎？ [[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-12-16 (世界標準時間)。"],[],[]] 條款隱私權 Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
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https://www.cisco.com/c/vi_vn/solutions/index.html	Giải pháp - Cisco Chuyển đến Nội dung chính Chuyển sang tìm kiếm Chuyển về cuối trang Cisco.com Việt Nam Sản phẩm và dịch vụ Giải pháp Bộ phận hỗ trợ Tìm hiểu Khám phá Cisco Cách mua hàng Trang chủ về Đối tác Chương trình mới dành cho đối tác Bộ phận hỗ trợ Công cụ Tìm một đối tác của Cisco Gặp gỡ Đối tác của chúng tôi Trở thành đối tác của Cisco Giải pháp Từ mạng và trung tâm dữ liệu cho đến hoạt động cộng tác cũng như bảo mật, chúng tôi có các giải pháp CNTT để đáp ứng nhu cầu của tổ chức bạn. Tìm hiểu cách chúng tôi có thể trợ giúp. Hãy để chúng tôi giúp bạn Yêu cầu gọi lại từ Cisco Sales Gửi email cho Chúng tôi Yêu cầu chung: 84 38233 412 Yêu cầu thông tin về sản phẩm trước bán hàng: 84 2839107317 9:00am-6:00pm Hỗ Trợ Kỹ Thuật Các giải pháp theo công nghệ Phân tích và tự động hóa Trí tuệ nhân tạo Đám mây Cộng tác Cơ sở hạ tầng mạng thiết yếu Trung tâm dữ liệu Mạng dựa trên mục đích Internet Vạn vật Không dây và Di động Kiến trúc mạng: Cisco DNA Bảo mật Phần mềm Mạng được xác lập bởi phần mềm Chỉ mục sản phẩm Design Zone: Hướng dẫn thiết kế của Cisco Các giải pháp theo loại hình doanh nghiệp Doanh nghiệp nhỏ Doanh nghiệp quy mô vừa Nhà cung cấp dịch vụ Các giải pháp theo ngành nghề Thành phố và cộng đồng Giáo dục Năng lượng Dịch vụ tài chính Chính phủ Chăm sóc sức khỏe Bảo hiểm Sản xuất Dầu khí Bán lẻ Thể thao và giải trí Vận tải Tiện ích Cisco on Cisco: Chia sẻ các câu chuyện CNTT của chúng tôi Bằng việc chia sẻ trải nghiệm CNTT của Cisco, Cisco on Cisco có thể giúp khách hàng và đối tác sử dụng công nghệ để đạt được kết quả kinh doanh. Hiểu rõ hơn về hoạt động nội bộ của bộ phận CNTT trong Cisco. Tìm hiểu cách chúng tôi giúp các tổ chức chuyển đổi thông qua công nghệ.  Xem cách thực hiện của chúng tôi Các trung tâm cùng đổi mới của Cisco Các trung tâm cùng đổi mới của Cisco phối hợp với các đối tác trong khu vực và trên toàn cầu nhằm tạo ra giải pháp công nghệ mới, giải quyết những khó khăn trong ngành và đóng góp cho doanh nghiệp, xã hội và thế giới. Khám phá các giải pháp Các đối tác của Cisco tạo ra sự khác biệt Tải hướng dẫn của chuyên gia trước, trong và sau khi bạn triển khai công nghệ. Thực hiện bước đầu tiên Hệ sinh thái đối tác tin cậy của chúng tôi có thể hỗ trợ quá trình chuyển đổi kỹ thuật số cho doanh nghiệp của bạn. Xem đối tác toàn cầu Giúp các công ty đạt được mục tiêu của họ là phần thưởng của riêng chúng tôi. Chúng tôi mang lại điều đó và còn nhiều hơn thế nữa. Trở thành đối tác Chúng tôi khiến hoạt động tiếp thị đối tác doanh nghiệp nhỏ trở nên dễ dàng. Thúc đẩy nhu cầu của doanh nghiệp nhỏ (yêu cầu đăng nhập) Bản trình diễn Dịch vụ	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/index.html#bar_grande	Cisco Purpose - Power an Inclusive Future for All - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close About Our Purpose 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. Read FY24 Purpose Report A New Era of Impact We’re bringing the full power of  Cisco to engage, support, and invest in 40 communities around the world over the next 10 years. Learn more Sustainability Building a sustainable future We are decarbonizing our operations and engaging with our suppliers, customers, and communities to reduce environmental impacts. Explore sustainability Social impact Driving positive change in global communities We invest in tech-based solutions to positively impact the planet and the vulnerable, underserved communities around the world. Explore social impact Digital impact Unlocking the power of digitalization We harness the power of connectivity to build an inclusive digital economy, drive access to education and skills, and create resilient communities. Explore digital impact Philanthropy Supporting new solutions to global problems We enable organizations around the world with cash grants, technology, and shared expertise to accelerate and increase their impact. Explore philanthropy Inclusion Cultivating an environment in which we all thrive We recognize and celebrate the full spectrum of diversity, and our Conscious Culture enables every employee to succeed. Explore inclusion Supply chain Leading by example We source materials responsibly and sustainably, and drive improvement in our manufacturing operations. Explore supply chain Security and privacy Creating a secure future for all We protect data, systems, networks, and uphold and respect the human rights of all. Explore security and privacy Public policy Advocating and enabling our purpose We defend and advance local, national, and global policies that enable our business and our ability to power an inclusive future. Explore public policy Amplifying impact Sustainability solutions Accelerate your transition to a more sustainable future. Discover our products Our Corporate Purpose blog Discover how our initiatives benefit our people, communities, and the planet. Read our blog Cisco Foundation Learn how we support nonprofits and NGOs to amplify their impact. Explore Cisco Foundation Power an Inclusive Future for All Cisco Purpose Reporting Hub Find in-depth reporting on our latest impact, goals, and progress. Explore Purpose Reporting Hub Hello, how can I help? Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:50
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https://www.atlassian.com/ko/software/jira/service-management/pricing	Service Collection 가격: 무료 및 유료 플랜 \| Atlassian 콘텐츠로 건너뛰기 제품 추천 개발자 제품 매니저 IT 전문가 비즈니스 팀 리더십 팀 모든 앱 보기 추천 앱 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 Jira Service Management 신속한 서비스 제공 Atlassian Collection 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom 전략 컬렉션 확신을 갖고 전략과 성과를 최적화하세요 Focus Talent Align Service Collection 빠른 속도로 서비스를 제공하세요 Jira Service Management Customer Service Management Assets Software Collection 고품질 소프트웨어를 빠르게 제공하세요 Rovo Dev DX Pipelines Bitbucket Compass 제공: Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Jira 유연한 프로젝트 관리 Compass 팀을 위한 소프트웨어 카탈로그 Pipelines 확장 가능한 CI/CD 자동화 Bitbucket 소스 코드 및 CI/CD DX 생산성 및 AI 영향 측정 Rovo Dev 개발자를 위한 에이전틱 AI Software Collection 고품질 소프트웨어를 빠르게 제공하세요 Rovo Dev DX Pipelines Bitbucket Compass Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Jira Product Discovery 아이디어 캡처 및 우선 순위 지정 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Jira Service Management 신속한 서비스 제공 Guard 클라우드 보안 강화 Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 Trello 체계화 및 시각화된 작업 Loom 신속한 비동기식 동영상 업데이트 Jira Service Management 신속한 서비스 제공 Customer Service Management Customer experiences reimagined 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Focus 엔터프라이즈급 전략 계획 Talent 지식 인력 계획 Align 엔터프라이즈 전체에 걸친 작업 계획 및 가치 전략 컬렉션 확신을 갖고 전략과 성과를 최적화하세요 Focus Talent Align Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 솔루션 솔루션 사용 사례별 팀 협업 전략 및 계획 서비스 관리 소프트웨어 개발 팀 유형별 소프트웨어 마케팅 IT 팀 규모별 Enterprise 소규모 비즈니스 스타트업 비영리 기관 업계별 리테일 통신 프로페셔널 서비스 정부 Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Atlassian을 선택해야 하는 이유 업무 시스템 New 팀 협업 방식에 대한 Atlassian의 블루프린트 Marketplace Atlassian 제품에 수천 개의 앱 연결 고객 팀워크를 기반으로 한 사례 연구 및 스토리 FedRAMP 공공 부문을 위한 컴플라이언스 솔루션 복원력 고성능 엔터프라이즈급 인프라 플랫폼 긴밀하게 통합되고 신뢰할 수 있는 안전한 Atlassian 플랫폼 Trust Center 데이터의 보안, 컴플라이언스 및 가용성을 보장하세요 리소스 고객 지원 질문, 버그 보고 및 피드백 제공 파트너 찾기 컨설팅, 교육 및 제품 사용자 지정 지원 Atlassian Ascend 전환을 위한 리소스 및 지원 커뮤니티 Atlassian 커뮤니티와 함께 배우고 소통하고 성장하세요 지원 일반적인 질문 기술 지원 제품 조언 가격 및 청구 파트너 지원 개발자 지원 Enterprise 지원 구입 및 라이선싱 리소스 프로젝트 관리 프로젝트 공동 작업 애자일 팀 플레이북 Atlassian Learning 제품 설명서 시작하기 Enterprise 자세히 보기 + 뒤로 제품 추천 개발자 제품 매니저 IT 전문가 비즈니스 팀 리더십 팀 솔루션 Atlassian을 선택해야 하는 이유 리소스 Enterprise 로그인 추천 앱 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 Jira Service Management 신속한 서비스 제공 Atlassian Collection 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom 전략 컬렉션 확신을 갖고 전략과 성과를 최적화하세요 Focus Talent Align Service Collection 빠른 속도로 서비스를 제공하세요 Jira Service Management Customer Service Management Assets Software Collection 고품질 소프트웨어를 빠르게 제공하세요 Rovo Dev DX Pipelines Bitbucket Compass 제공: Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 개발자 Jira 유연한 프로젝트 관리 Compass 팀을 위한 소프트웨어 카탈로그 Pipelines 확장 가능한 CI/CD 자동화 Bitbucket 소스 코드 및 CI/CD DX 생산성 및 AI 영향 측정 Rovo Dev 개발자를 위한 에이전틱 AI Software Collection 고품질 소프트웨어를 빠르게 제공하세요 Rovo Dev DX Pipelines Bitbucket Compass Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 제품 매니저 Jira Product Discovery 아이디어 캡처 및 우선 순위 지정 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom Rovo 팀의 지식을 토대로 하는 AI 기반 앱. IT 전문가 Jira Service Management 신속한 서비스 제공 Guard 클라우드 보안 강화 Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 비즈니스 팀 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 Trello 체계화 및 시각화된 작업 Loom 신속한 비동기식 동영상 업데이트 Jira Service Management 신속한 서비스 제공 Customer Service Management Customer experiences reimagined 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 리더십 팀 Focus 엔터프라이즈급 전략 계획 Talent 지식 인력 계획 Align 엔터프라이즈 전체에 걸친 작업 계획 및 가치 전략 컬렉션 확신을 갖고 전략과 성과를 최적화하세요 Focus Talent Align Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 솔루션 사용 사례별 팀 협업 전략 및 계획 서비스 관리 소프트웨어 개발 팀 유형별 소프트웨어 마케팅 IT 팀 규모별 Enterprise 소규모 비즈니스 스타트업 비영리 기관 업계별 리테일 통신 프로페셔널 서비스 정부 Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Atlassian을 선택해야 하는 이유 업무 시스템 New 팀 협업 방식에 대한 Atlassian의 블루프린트 Marketplace Atlassian 제품에 수천 개의 앱 연결 고객 팀워크를 기반으로 한 사례 연구 및 스토리 FedRAMP 공공 부문을 위한 컴플라이언스 솔루션 복원력 고성능 엔터프라이즈급 인프라 플랫폼 긴밀하게 통합되고 신뢰할 수 있는 안전한 Atlassian 플랫폼 Trust Center 데이터의 보안, 컴플라이언스 및 가용성을 보장하세요 리소스 고객 지원 질문, 버그 보고 및 피드백 제공 파트너 찾기 컨설팅, 교육 및 제품 사용자 지정 지원 Atlassian Ascend 전환을 위한 리소스 및 지원 커뮤니티 Atlassian 커뮤니티와 함께 배우고 소통하고 성장하세요 지원 일반적인 질문 기술 지원 제품 조언 가격 및 청구 파트너 지원 개발자 지원 Enterprise 지원 구입 및 라이선싱 리소스 프로젝트 관리 프로젝트 공동 작업 애자일 팀 플레이북 Atlassian Learning 제품 설명서 시작하기 콘텐츠로 건너뛰기 제품 추천 개발자 제품 매니저 IT 전문가 비즈니스 팀 리더십 팀 솔루션 Atlassian을 선택해야 하는 이유 리소스 Enterprise 로그인 추천 앱 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 Jira Service Management 신속한 서비스 제공 Atlassian Collection 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom 전략 컬렉션 확신을 갖고 전략과 성과를 최적화하세요 Focus Talent Align Service Collection 빠른 속도로 서비스를 제공하세요 Jira Service Management Customer Service Management Assets Software Collection 고품질 소프트웨어를 빠르게 제공하세요 Rovo Dev DX Pipelines Bitbucket Compass 제공: Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 개발자 Jira 유연한 프로젝트 관리 Compass 팀을 위한 소프트웨어 카탈로그 Pipelines 확장 가능한 CI/CD 자동화 Bitbucket 소스 코드 및 CI/CD DX 생산성 및 AI 영향 측정 Rovo Dev 개발자를 위한 에이전틱 AI Software Collection 고품질 소프트웨어를 빠르게 제공하세요 Rovo Dev DX Pipelines Bitbucket Compass Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 제품 매니저 Jira Product Discovery 아이디어 캡처 및 우선 순위 지정 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom Rovo 팀의 지식을 토대로 하는 AI 기반 앱. IT 전문가 Jira Service Management 신속한 서비스 제공 Guard 클라우드 보안 강화 Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 비즈니스 팀 Jira 유연한 프로젝트 관리 Confluence 모든 지식을 한곳에 보관 Trello 체계화 및 시각화된 작업 Loom 신속한 비동기식 동영상 업데이트 Jira Service Management 신속한 서비스 제공 Customer Service Management Customer experiences reimagined 팀워크 컬렉션 원활하게 팀워크를 강화하세요 Jira Confluence Loom Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 리더십 팀 Focus 엔터프라이즈급 전략 계획 Talent 지식 인력 계획 Align 엔터프라이즈 전체에 걸친 작업 계획 및 가치 전략 컬렉션 확신을 갖고 전략과 성과를 최적화하세요 Focus Talent Align Rovo 팀의 지식을 토대로 하는 AI 기반 앱. 솔루션 사용 사례별 팀 협업 전략 및 계획 서비스 관리 소프트웨어 개발 팀 유형별 소프트웨어 마케팅 IT 팀 규모별 Enterprise 소규모 비즈니스 스타트업 비영리 기관 업계별 리테일 통신 프로페셔널 서비스 정부 Rovo 팀의 지식을 토대로 하는 AI 기반 앱. Atlassian을 선택해야 하는 이유 업무 시스템 New 팀 협업 방식에 대한 Atlassian의 블루프린트 Marketplace Atlassian 제품에 수천 개의 앱 연결 고객 팀워크를 기반으로 한 사례 연구 및 스토리 FedRAMP 공공 부문을 위한 컴플라이언스 솔루션 복원력 고성능 엔터프라이즈급 인프라 플랫폼 긴밀하게 통합되고 신뢰할 수 있는 안전한 Atlassian 플랫폼 Trust Center 데이터의 보안, 컴플라이언스 및 가용성을 보장하세요 리소스 고객 지원 질문, 버그 보고 및 피드백 제공 파트너 찾기 컨설팅, 교육 및 제품 사용자 지정 지원 Atlassian Ascend 전환을 위한 리소스 및 지원 커뮤니티 Atlassian 커뮤니티와 함께 배우고 소통하고 성장하세요 지원 일반적인 질문 기술 지원 제품 조언 가격 및 청구 파트너 지원 개발자 지원 Enterprise 지원 구입 및 라이선싱 리소스 프로젝트 관리 프로젝트 공동 작업 애자일 팀 플레이북 Atlassian Learning 제품 설명서 시작하기 Collections Teamwork 개요 기능 가격 Strategy 개요 데모 센터 가격 Service Software Teamwork Strategy Service Software 규모에 맞는 서비스 관리 포함 사항 Rovo 및 모든 Atlassian 플랫폼 앱 홈 목표 팀 스튜디오 검색 채팅 분석 관리자 팀 규모: 에이전트 청구: 매월 연간 최대 17% 할인 Free 에이전트 3명에게는 평생 무료 $0 지금 사용하기 포함 사항: 서비스 관리 및 고객 서비스를 위한 앱과 HR, 마케팅 등을 위한 템플릿 Jira Service Management에는 어떤 팀이든 서비스 경험을 시작하는 데 도움이 되도록 요청 유형, 워크플로 및 자동화가 미리 구성된 템플릿이 포함되어 있습니다. 알림, 대기 중 담당자 일정 및 인시던트 템플릿 회람 규칙, 에스컬레이션 정책 및 대기 중 담당자 일정으로 수신 알림을 관리하고 대응하세요. 고객 포털, 이메일 및 채팅을 포함한 여러 채널 지원 직원 및 고객은 이메일, Microsoft Teams 및 Slack, 포함된 위젯 또는 고객 포털을 통해 요청을 제출할 수 있습니다. 사용자 지정 가능한 양식, 워크플로 및 큐를 통한 작업 입력 동적이고 사용자 친화적인 양식을 만들어 데이터를 수집하고 끌어서 놓기 방식의 편집기로 워크플로를 구성하고 작업을 분류할 큐를 설정하세요. 포함된 참조 자료 문서를 만들고 읽고 업데이트하고 삭제합니다. 셀프 서비스를 활성화하고 요청을 디플렉트하기 위해 고객에게 관련 문서를 추천하세요. Atlassian 커뮤니티에서 지원 Atlassian 커뮤니티를 통한 지원입니다. 자세히 알아보세요. Standard 시작하는 데 필요한 모든 것을 제공 $20 에이전트/월 기준 무료 평가판 시작 Free의 모든 기능 및 다음 항목: AI 기반 직원 지원, 운영 및 고객 서비스를 위한 Rovo 에이전트, 검색 및 채팅 Rovo 검색, 채팅 및 Rovo 에이전트에 액세스하여 AI 기반 팀워크를 활용하고 AI 기반 인시던트 관리로 운영 워크플로를 가속하세요. 자세히 알아보세요. 사용자 지정 브랜드 도움말 센터 Jira Service Management의 도움말 센터에 회사 브랜드 URL을 사용하세요. 무제한 이메일 알림 고객, 에이전트 및 관리자는 요청 활동에 대해 이메일 알림을 무제한으로 받을 수 있습니다. 감사 로그 및 여러 리전 데이터 보존 전역 권한 변경과 같은 중요한 이벤트를 기록하고 주요 제품 데이터를 호스팅할 위치를 선택하세요. 최대 20,000명의 에이전트 및 무제한 고객 최대 20,000명의 에이전트(라이선스 사용자)가 무제한 고객(라이선스 없는 사용자)의 요청을 처리할 수 있습니다. 권장 사항 Premium 규모에 맞게 서비스 관리 확장 $51.42 에이전트/월 기준 무료 평가판 시작 Standard의 모든 기능 및 다음 항목: 가상 서비스 에이전트 AI 기반 대화형 지원은 뛰어난 서비스를 위해 에이전트의 시간을 절약합니다. 자세히 알아보세요. 자산 및 구성 관리 자산 및 서비스의 수명 주기를 관리하세요. 종속성에 대한 가시성을 확보하고 인시던트를 해결하며 위험을 최소화하세요. 고급 AIOps 기능 AI 기반 알림 그룹화, 인시던트 만들기 및 PIR 생성 기능을 통해 인시던트를 더 빠르게 감지하고 해결 및 방지하세요. 실시간 인시던트 모니터링 하트비트 모니터링으로 로깅 및 모니터링 도구의 상태를 확인하세요. 시스템이 가동 중지되면 빠르게 조치를 취할 수 있도록 알림을 받으세요. 고급 인시던트 및 문제 관리 영향을 받는 서비스를 식별하고 이슈를 추적하고 해결을 위해 올바른 팀으로 에스컬레이션하세요. PIR로 근본 원인을 해결하세요. 알림, 인시던트 데이터, 서비스 및 인프라 상태 분석을 활용하여 인시던트 해결을 가속화하세요. 변경 관리 변경 유형, 관련 위험 또는 CAB 절차를 기반으로 승인 워크플로를 구성 및 자동화하세요. CI/CD 도구를 사용한 배포 제어 연결된 CI/CD 도구를 통해 시작된 배포에 대한 승인 프로세스를 자동화하거나 만드세요. Enterprise 엔터프라이즈를 위한 고급 분석, 확장 및 보안 연간 청구. Enterprise 가격을 보려면 위의 연간 청구로 전환하세요. 영업 팀에 문의 Premium의 모든 기능 및 다음 항목: Atlassian Analytics 및 데이터 레이크를 사용한 교차 제품 인사이트 Atlassian 도구 체인 전반의 데이터를 집계하여 더 나은 의사 결정을 내리는 데 도움이 되는 전체적인 인사이트를 확보하세요. 고급 관리자 제어 및 보안 고급 암호화 및 섀도 IT 제어와 같은 고급 거버넌스 제어를 통해 규모에 맞게 사용자 및 보안을 관리하세요. 엔터프라이즈급 ID 및 액세스 관리 Atlassian Guard Standard 를 포함하여 중앙 집중식 관리 콘솔 내에서 여러 IdP에 대한 SSO, SCIM 및 지원을 받으세요. 무제한 자동화 시간이 많이 걸리는 수동 작업을 자동화된 프로세스 및 워크플로로 대체하여 효율성을 높입니다. 여러 개의 사이트(최대 150개) 데이터 분리 및 관리 자율성이 가능하도록 하세요. 각 인스턴스를 사용하는 팀의 요구 사항에 맞게 사용자 지정하세요. 기능 비교 Free Standard Premium Enterprise Collection 기능 앱 Free Jira Service Management Free, Customer Service Management Standard Jira Service Management Standard, Customer Service Management, Rovo 에이전트 Premium Jira Service Management Premium, Customer Service Management, Rovo 에이전트, 자산 Enterprise Jira Service Management Enterprise, Customer Service Management, Rovo 에이전트, 자산 사용자 제한 에이전트(라이선스가 부여된 사용자)가 무제한 고객(라이선스가 필요 없는 사용자)의 요청을 처리할 수 있습니다. 자세히 알아보세요 . Free 에이전트 3명, 고객 무제한 Standard 에이전트 20,000명, 고객 무제한 Premium 에이전트 20,000명, 고객 무제한 Enterprise 에이전트 20,000명, 고객 무제한 사이트 사이트 또는 "인스턴스"는 데이터 분리 및 관리 자율성을 지원합니다. 각 인스턴스를 사용하는 팀의 요구 사항에 맞게 사용자 지정하세요. Free 1 Standard 1 Premium 1 Enterprise 여러 개(최대 150개) 스토리지 각 플랜에는 일정한 용량의 파일 스토리지가 제공됩니다. 자세히 알아보세요 . Free 2GB 파일 스토리지 Standard 250GB 파일 스토리지 Premium 무제한 파일 스토리지 Enterprise 무제한 파일 스토리지 이메일 알림 고객, 에이전트 및 관리자는 요청의 활동에 대한 이메일 알림을 받습니다. 앱별로 적용됩니다. 자세히 알아보세요 . Free 하루 100개의 이메일 Standard 무제한 Premium 무제한 Enterprise 무제한 자동화 Free 및 Standard 플랜은 각각 매월 500번 및 5,000번의 규칙 실행을 제공합니다. 참고로 일부 자동화 기능 은 Premium 및 Enterprise 플랜에서만 사용할 수 있습니다. Premium 플랜의 경우 모든 사용자에 대해 사용자당 월 1,000번의 규칙이 제공됩니다. 자세히 알아보세요 . Free 매월 500회 규칙 실행 Standard 매월 5,000번 규칙 실행 Premium 사용자당 매월 1,000번 규칙 실행 Enterprise 무제한 규칙 실행 도움말 센터 유료 플랜	2026-01-13T09:29:50
https://www.cisco.com/c/no_no/solutions/index.html	Løsninger - Cisco Gå videre til hovedinnhold Gå til søk Gå videre til bunntekst Cisco.com Norge Produkter og tjenester Løsninger Kundestøtte Lær Utforsk Cisco Slik kjøper du Hjemmeside for partnere Nytt partnerprogram Kundestøtte Verktøy Finn en Cisco-partner Møt partnerne våre Bli Cisco-partner Løsninger Fra nettverksdrift og datasenter til samhandling og sikkerhet – vi har IT-løsningene som dekker organisasjonens behov. Finn ut hvordan vi kan hjelpe. Kontakt Cisco Jeg ønsker å bli oppringt Teknisk brukerstøtte Løsninger etter teknologi Analyse og automatisering Kunstig intelligens Skyen Samhandling Kritisk nettverksinfrastruktur Datasenter Formålsbasert nettverksdrift Tingenes internett (IoT) Trådløst og mobilitet Nettverksarkitektur – Cisco DNA Sikkerhet Programvare Programvaredefinert nettverksdrift Produktindeks Design Zone: Designveiledninger fra Cisco Løsninger etter forretningstype Små og mellomstore bedrifter Tjenesteleverandører Løsninger etter bransje Byer og samfunn Utdanning Energi Finanstjenester Offentlige etater Helsevesen Forsikring Produksjon Olje og gass Detaljhandel Sport og underholdning Transport Offentlige forsyningsanlegg Cisco on Cisco: Våre IT-historier Ved å dele Cisco sin egen IT-erfaring kan Cisco on Cisco hjelpe kunder og partnere med å bruke teknologi for å oppnå forretningsresultater. Ta en kikk på Cisco IT fra innsiden. Finn ut hvordan vi hjelper organisasjoner med endring gjennom teknologi.  Se hvordan vi gjør det Cisco Co-Innovation Centers Cisco Co-Innovation Centers arbeider sammen med regionale og globale partnere for å skape nye teknologiløsninger, løse problemer i markedet og være bidragsyter til forretningslivet, samfunnet og verden. Utforsk løsninger Cisco-partnere utgjør forskjellen Få ekspertveiledning før, under og etter teknologidistribusjoner. Ta første skritt Gjennom vårt økosystem bestående av betrodde partnere, kan vi hjelpe deg å gjennomføre en digital forvandling. Se globale partnere Å hjelpe selskaper med å oppnå målene sine er en belønning i seg selv. Vi tilbyr det og mer til. Bli en partner Vi gjør markedsføring for småbedriftspartnere enkelt. Driv behov i små bedrifter (pålogging kreves) Kontakt sales Gratis prøveperioder, demoer og tilbud Tjenester	2026-01-13T09:29:50
https://ai.google.dev/gemini-api/docs/api-versions?hl=ko	API 버전 설명  \|  Gemini API  \|  Google AI for Developers 기본 콘텐츠로 건너뛰기 / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 API 키 가져오기 설명서 커뮤니티 로그인 문서 API 참조 문서 Gemini API 문서 API 참조 문서 API 키 가져오기 설명서 커뮤니티 개요 API 버전 기능 모델 콘텐츠 생성 Live API Live Music API Interactions API 토큰 파일 Batch API 캐싱 임베딩 파일 검색 파일 검색 스토어 문서 모든 메서드 지원 중단됨 PaLM (사용 중단됨) SDK 참조 Python Go TypeScript Java C# 홈 Gemini API API 참조 문서 의견 보내기 API 버전 설명 서비스 약관 이 업데이트되었습니다. 이 문서에서는 Gemini API의 v1 버전과 v1beta 버전의 차이점을 간략하게 설명합니다. v1 : 안정적인 API 버전입니다. 안정화 버전의 기능은 메이저 버전의 수명 주기 동안 완전히 지원됩니다. 호환성이 깨지는 변경사항이 있는 경우 API의 다음 주요 버전이 생성되고 기존 버전은 적절한 기간이 지난 후 지원 중단됩니다. 브레이킹 체인지가 아닌 변경사항은 메이저 버전을 변경하지 않고 API에 도입될 수 있습니다. v1beta : 이 버전에는 개발 중이며 호환성이 깨지는 변경사항이 적용될 수 있는 초기 기능이 포함되어 있습니다. 베타 버전의 기능이 정식 버전으로 이동한다는 보장도 없습니다. 프로덕션 환경의 안정성이 필요하고 호환성이 깨지는 변경사항을 감수할 수 없는 경우 프로덕션에서 이 버전을 사용하면 안 됩니다. 기능 v1 v1beta 콘텐츠 생성 - 텍스트 전용 입력 콘텐츠 생성 - 텍스트 및 이미지 입력 콘텐츠 생성 - 텍스트 출력 콘텐츠 생성 - 멀티턴 대화 (채팅) 콘텐츠 생성 - 함수 호출 콘텐츠 생성 - 스트리밍 콘텐츠 삽입 - 텍스트 전용 입력 답변 생성 시맨틱 리트리버 Interactions API - 지원됨 - 지원되지 않음 SDK에서 API 버전 구성 Gemini API SDK는 기본적으로 v1beta 를 사용하지만 다음 코드 샘플과 같이 API 버전을 설정하여 다른 버전을 사용할 수도 있습니다. Python from google import genai client = genai . Client ( http_options = { 'api_version' : 'v1alpha' }) response = client . models . generate_content ( model = 'gemini-2.0-flash' , contents = "Explain how AI works" , ) print ( response . text ) 자바스크립트 import { GoogleGenAI } from "@google/genai" ; const ai = new GoogleGenAI ({ httpOptions : { apiVersion : "v1alpha" }, }); async function main () { const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Explain how AI works" , }); console . log ( response . text ); } await main (); REST curl "https://generativelanguage.googleapis.com/v1/models/gemini-1.5-flash:generateContent" \ -H "x-goog-api-key: $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works."}] }] }' 의견 보내기 달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스 에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스 에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책 을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다. 최종 업데이트: 2025-12-18(UTC) 의견을 전달하고 싶나요? [[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["필요한 정보가 없음","missingTheInformationINeed","thumb-down"],["너무 복잡함/단계 수가 너무 많음","tooComplicatedTooManySteps","thumb-down"],["오래됨","outOfDate","thumb-down"],["번역 문제","translationIssue","thumb-down"],["샘플/코드 문제","samplesCodeIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-12-18(UTC)"],[],[]] 약관 개인정보처리방침 Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://pdimagearchive.org/images/8a972144-c71f-4366-a34b-0ad9d9e581de	‘A Voice From Scotland’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… A Voice From Scotland Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 658 x 710 Higher res available? Download Image Themes Technology The Future Tags music scotland phonographs bagpipes inventions retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://pdimagearchive.org/images/eb372ff2-b656-43e3-b61d-65a10743b185	‘Leaving the Opera in the Year 2000’ by Albert Robida (ca. 1902) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Leaving the Opera in the Year 2000 Le Sortie de l'opéra en l'an 2000 is a print from the late-19th century depicting a futuristic view of air travel over Paris as people leave the opera. Many types of aircraft are shown including flying buses, limousines and, what are presumably, police vehicles. On the latter are mounted strangely un-futuristic sword-carrying officers that wouldn't seem out of place on the Opera's stage itself. As far as the get-up of the normal opera-going folk, things don't seem to have progressed too radically, though many of the men seem to be sporting the same bizarre military-esque hat. To the left of the scene, amongst the flying vehicles, we can see a restaurant, which like the Opera building itself, is elevated to an enormous height above the… Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… Leaving the Opera in the Year 2000 Artist Date ca. 1902 Source Library of Congress More From Library of Congress 1135 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights Source states “no known restrictions” We offer this info as guidance only Image Size 1024 x 661 Higher res available? Download Image Styles Lithography Themes The Future Tags futurology flying clouds machines opera retrofuturism paris The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
http://news.tuxmachines.org/summary.shtml	Tux Machines posts since 2025-12-13 Tux Machines Do you waddle the waddle? Other Sites LinuxGizmos.com RAKwireless rolls out WisMesh RAK3312 Meshtastic LoRa starter kit The kit uses the RAK3312 WisBlock Core, which combines an Espressif ESP32-S3 dual-core microcontroller clocked at up to 240 MHz with Wi-Fi and Bluetooth LE connectivity, along with a Semtech SX1262 LoRa transceiver. Orbbec Gemini 305 pairs close-range stereo vision with low latency The Gemini 305 is a compact stereo 3D camera developed specifically for robotic wrist mounting. Measuring 42 × 42 × 23 mm, it supports depth and color imaging at distances as short as 4 cm, targeting close-range manipulation, grasping, and object recognition tasks. Radxa NX4 system-on-module runs RK3576 with LPDDR5 and 6 TOPS AI The Radxa NX4 integrates an octa-core CPU configuration with four Arm Cortex-A72 cores and four Cortex-A53 cores, paired with an Arm Mali-G52 MC3 GPU supporting OpenGL ES, OpenCL, and Vulkan. (ℹ) These pages are on an alpha (tesing) site. For the production/live site , please see tuxmachines.org instead. --> Home About IRC Gemini Edition Originals Archive Search --> Feed --> Tux Machines posts since 2025-12-13 2025-12-13 Two Ubuntu Flavours Won’t Be LTS Releases Next Year Rianne Schestowitz : Not all of Ubuntu’s flavours have applied for long-term support status in next year’s 26.04 release Cinnamon 6.6 Desktop Environment Lands With Major Menu Redesign Rianne Schestowitz : Cinnamon 6.6 introduces a redesigned menu, smoother animations Tails 7.3.1 Launches After Security Issue Delays Release Rianne Schestowitz : Tails 7.3.1 replaces 7.3 after a last-minute security fix and updates Tor Browser Celebrating Six Years of openSUSE Bar Rianne Schestowitz : The openSUSE community will celebrate the 6-year anniversary of the openSUSE Bar on Dec. 19 starting at 13:00 UTC Stable kernels: Linux 6.18.1, Linux 6.17.12, and Linux 6.12.62 Rianne Schestowitz : I'm announcing the release of the 6.18.1 kernel Samsung A54 report 10, after the calm comes the storm Rianne Schestowitz : Within days of the Android 16 update KDE Frameworks 6.21.0 Rianne Schestowitz : KDE today announces the release of KDE Frameworks 6.21.0 This Week in Plasma: Wayland screen mirroring and custom modes Rianne Schestowitz : This week the team made significant progress on KWin’s Wayland screen support Free and Open Source Software Rianne Schestowitz : Only free and open source software is eligible for inclusion LibreOffice 26.2 Beta1 is available for testing Rianne Schestowitz : LibreOffice 26.2 will be released as final at the beginning of February, 2026 3 cool Linux apps to try this weekend (December 12 - 14) Rianne Schestowitz : I look for cool and genuinely useful Linux applications all the time I moved more of my Linux workflow to the terminal, and now I can’t stop Rianne Schestowitz : From there, I slowly started replacing more and more apps with terminal-based alternatives Ventoy 1.1.09 Released With Experimental Btrfs Support Rianne Schestowitz : Ventoy 1.1.09 is out with fixes for openSUSE 16.0 boot issues What is NTFSPlus and Why Does It Matter for Linux Users? Rianne Schestowitz : Can it end the current NTFS woes for Linux users Android Leftovers Rianne Schestowitz : Android could soon track your medical symptoms in Health Connect Governments Wasting Billions on Worthless and Even Harmful Microsoft Licences Roy Schestowitz : what Microsoft costs to Finland it also costs to many other nations KDE's End of Year Fundraiser 2025 and This Week in KDE Apps; Plasma Camera & Plasma Settings Roy Schestowitz : KDE leftovers Are They Bluffing? Roy Schestowitz : I am not a lawyer (IANAL), but something doesn't seem right Today in Techrights Roy Schestowitz : Some of the latest articles Games: "Terminator 2D: NO FATE", "Clair Obscur: Expedition 33", and More Roy Schestowitz : half a dozen GamingOnLinux stories today's leftovers Roy Schestowitz : GNU/Linux and more 365 Days Times Two Since Last Reboot Roy Schestowitz : 3 years would be about 1,100 days Prepare for Another Massive Wave of Microsoft Layoffs (Probably Next Month, Like Every January) Roy Schestowitz : 2026 will be a strong year for GNU/Linux, even among gamers Warm Winter Roy Schestowitz : When do we finally get some heavy snow? Most of Today's Web is Trash Roy Schestowitz : on a Web so full of noise and rubbish, our curation activity becomes more widely appreciated, even necessary Kernel Space: Space-Grade Linux for the NewSpace Era, Linux Pushing Slop, 'Linux' Foundation Takes Dirty Money to Promote a Slop Pyramid Scheme (Circular Financing) Roy Schestowitz : linux news today's howtos Roy Schestowitz : more for today Applications: PasteLock, starlit, NetworkManager, and More Roy Schestowitz : software leftovers Distributions and Operating Systems: Haiku, GNU/Linux, and CP/M Roy Schestowitz : some OS updates/reviews New Steam Games with Native GNU/Linux Clients, Rats Get Even Better at DOOM Roy Schestowitz : Games leftovers OpenBSD Leftovers Roy Schestowitz : 3 stories about OpenBSD Debian: Freexian, Grml 2025.12, and More Roy Schestowitz : Debian centric news for today Open Hardware/Modding: Framework, Raspberry Pi, and More Roy Schestowitz : Hardware leftovers Red Hat Pushing Slop/Hype and Fedora Upgrades Got a Bit harder Roy Schestowitz : Red Hat leftovers OpenSUSE: Tumbleweed Review of the week and OpenSUSE America Summit Roy Schestowitz : pair of OpenSUSE updates Programming Leftovers Roy Schestowitz : Development related picks Standards/Consortia: Relaunching ODF Advocacy as ODF News, HTTPS RRs Roy Schestowitz : Standards leftovers Free, Libre, and Open Source Software Leftovers Roy Schestowitz : FOSS and legal today's leftovers Roy Schestowitz : GNU/Linux and more Security Leftovers Roy Schestowitz : some news about patches and more 2025-12-14 KDE Gear 25.12 Rianne Schestowitz : "The Gear that Keeps on Gearing" Edition Free and Open Source Software Rianne Schestowitz : This is free and open source software Best Free and Open Source Software Rianne Schestowitz : Only free and open source software is eligible for inclusion here I switched from Windows to Linux and these 4 habits held me back Rianne Schestowitz : When I decided to switch to Linux, I'd only ever used one OS I stopped using Linux for a year, here's what brought me back Rianne Schestowitz : I took a break from Linux to try and find a mobile platform that could fulfill the role of a desktop computer. First it was the BOOX Tab Ultra Diptyx Open Source Dual-Screen E-Reader Launches on Crowd Supply Rianne Schestowitz : Diptyx launches on Crowd Supply as an open-source Android Leftovers Rianne Schestowitz : How I turned my old Android phone into a media server Canonical/Ubuntu: pearOS Based on Ubuntu, Microsoft Consumes Ubuntu, Ubuntu 26.04 Snapshot 2 Available to Download, and More Roy Schestowitz : Ubuntu related leftovers Today in Techrights Roy Schestowitz : Some of the latest articles Latest From Rust People Roy Schestowitz : pair of Rust posts Being a Family-Friendly Site Roy Schestowitz : Judge people by their actions, not their words Open Hardware/Modding: HealthyPi, RISC-V, and More Roy Schestowitz : Hardware and gadgets today's howtos Roy Schestowitz : 7 howtos for now Programming Leftovers Roy Schestowitz : Development picks IBM: Fedora, Flatpak, and Oracle Linux Roy Schestowitz : Red Hat related picks today's leftovers Roy Schestowitz : GNU/Linux and more Free, Libre, and Open Source Software Leftovers Roy Schestowitz : releases and more CuerdOS GNU/Linux 2.0 Released Roy Schestowitz : Distribution Release: CuerdOS 2.0 Improving the Site After 21.5+ Years Roy Schestowitz : we're now just 17 days away from the new year 2025-12-15 Oracle Linux 10.1 Released With Security and Toolchain Updates Rianne Schestowitz : Oracle Linux 10.1 is now GA, delivering new kernels, post-quantum crypto defaults 15 Signs Linux Is Not For You Rianne Schestowitz : If you recognized yourself in a few of these points, that doesn’t mean Linux isn’t for you KDE PIM 2025 Sprint in Paris Rianne Schestowitz : This weekend, I attended the KDE PIM 2025 Sprint (AKA meeting) in Paris Review: OpenBSD 7.8 Rianne Schestowitz : In September I engaged in an experiment to see if a non-Linux Free and Open Source Software Rianne Schestowitz : This is free and open source software APT vs Pacman: Which Linux package manager is better for beginners Rianne Schestowitz : The package manager is what primarily makes a Linux distribution special Pangolin 1.13 Released With Private Resources and User Device Access Rianne Schestowitz : Pangolin 1.13, an open-source Paris-Based ‘Open Source Experience’ Conference Hands Out ‘Acteurs du Libre’ Awards Rianne Schestowitz : At Paris’s Open Source Experience conference, six Acteurs du Libre awards mapped out a snapshot of Europe’s free software ecosystem in 2025 7 Projects Killed by Ubuntu (But I Still Miss Them) Rianne Schestowitz : Over the span of the past 15 years, Ubuntu started several projects Free and Open Source Software, and Benchmark Rianne Schestowitz : This is free and open source software GIMP 3.2 RC2 added Barrel Rotation support for Mypaint Brushes Rianne Schestowitz : The second RC development release for the GIMP image editor 3.2 is out Ubuntu Studio could get a new default visual design in 2026 Rianne Schestowitz : Ubuntu Studio, a Linux distribution meant for creative work 5 signs you're becoming an advanced Linux user Rianne Schestowitz : Have you noticed that you're getting better at using Linux Cinnamon, Xfce, or Mate: Which Linux Mint edition should you download? Rianne Schestowitz : Are you staring at the Linux Mint download page wondering which edition to choose Fresh Launches as a New Terminal-First Text Editor Rianne Schestowitz : Fresh is a newly released open-source terminal text editor combining modern UI elements Android Leftovers Rianne Schestowitz : Is Google’s Android PC Taking Notes From HarmonyOS? Valuable FreeBSD 15.0-RELEASE Updates Roy Schestowitz : BSD news from 𝚟𝚎𝚛𝚖𝚊𝚍𝚎𝚗 Free Software Foundation Raises Almost $60,000 in 3+ Days Roy Schestowitz : Can the FSF makes it to the goal of 400 K by year's end? Today in Techrights Roy Schestowitz : Some of the latest articles GNU/Linux as Desktop Operating System in Japan at New High Roy Schestowitz : it seems like 3% is within sight Raspberry Pi Extensions and Recycling Mini PCs, RISC V, and More Roy Schestowitz : hardware projects/tinkering Kernel Space / File Systems: General Purpose Interface Bus, Ceph, and eBPF Roy Schestowitz : Linux focused Programming Leftovers Roy Schestowitz : Development picks "The Laughably Named Linux Foundation is Big Tech" (GAFAM) Roy Schestowitz : "The laughably named Linux Foundation is Big Tech the title is a total lie implying the are not one in the same. Anytime I hear or read Linux Foundation that is the first thing that comes to mind how the parasite corporations have co-opted the name to use for their various nefarious purposes they are up to with whatever type of *washing" GNU/Linux Almost 8% in Philippines (Maharlika) Roy Schestowitz : For "old" PCs, GNU/Linux is a perfect fit Linux 6.19-rc1 Roy Schestowitz : Linus has released 6.19-rc1, perhaps a bit earlier than expected. Chile Shows Windows is in No-Man's Land Roy Schestowitz : Since there's no more "Windows Mobile" or "Windows Phone" in the pipeline, perhaps we can assume many more Microsoft layoffs on their way today's howtos Roy Schestowitz : idroot and more Programming Leftovers Roy Schestowitz : Development for the Web and more Free, Libre, and Open Source Software and Security Leftovers Roy Schestowitz : FOSS and fixes BSDs and Package Managers Roy Schestowitz : some OS related leftovers Games: Steam Titles for GNU/Linux, Retro, and Review Roy Schestowitz : gaming related leftovers Open Hardware/Modding: Raspberry Pi, Slapophone, and More Roy Schestowitz : projects and hardware hacking GNU/Linux: LINUX Unplugged, Red Hat, and Fedora Silverblue Roy Schestowitz : 3 more picks for today Proxmox Coverage in XDA Roy Schestowitz : by Valnet Applications: TLDR-Pages, Lists of Software, and More Roy Schestowitz : Software for GNU/Linux Vista 10 Wiped, GNU/Linux Replaces It for Games; Gaming on Linux With an Nvidia GPU Called "Solid" Roy Schestowitz : Gaming on Linux has been a hot topic since the introduction of the Steam Deck back in 2022 Microsoft Slop Goes Offline, Signs of More Layoffs in Gaming Teams Roy Schestowitz : opposition news Recent Articles From Valnet's XDA Roy Schestowitz : GNU/Linux and BSD LLM Slop ("AI") Won't Last Much Longer Roy Schestowitz : Providers of slop will shut down for financial reasons 2025-12-16 KDE Ni! OS Rianne Schestowitz : At this year’s Akademy (the yearly conference and gathering of KDE) Kali Linux 2025.4 arrives with GNOME 49, KDE Plasma 6.5, and much more Rianne Schestowitz : Kali Linux, a popular Linux distribution for cybersecurity research and penetration testing Sparky 2025.12 Rianne Schestowitz : There are new SparkyLinux 2025.12 codenamed “Tiamat” ISO images available of the semi-rolling line BusenLabs Boron vs. Bohdi Linux: Which lightweight distro is right for you? Rianne Schestowitz : One of the many things I love about the Linux operating system is the vast array of choices available Toradex Luna SL1680 SBC Features Synaptics SL1680 SoC with 8 TOPS NPU, Starts at $105 Rianne Schestowitz : Software support is provided through Toradex’s Torizon platform, an embedded Linux distribution designed for long-term maintenance and secure deployment Tracking kernel commits across branches Rianne Schestowitz : With all of the different Linux kerenl stable releases happening (at least 1 stable branch and multiple longterm branches are active at any one point in time) Krita Monthly Update - Edition 33 Rianne Schestowitz : Welcome to the November 2025 development and community update PureOS Crimson Development Report: November 2025 Rianne Schestowitz : If you’re a GNU/Linux expert, you might already know how Debian handles release upgrades Free and Open Source Software Rianne Schestowitz : This is free and open source software DietPi 9.20 Brings RustDesk Server and Broad SBC Improvements Rianne Schestowitz : DietPi 9.20 is out with RustDesk Server support Releases: Johnnycanencrypt 0.17.0, Mixxx 2.5.4, and Kodi 21.3 "Omega" Roy Schestowitz : 3 new releases Today in Techrights Roy Schestowitz : Some of the latest articles Games: GOG Patrons, Parking Garage Rally Circuit, and More Roy Schestowitz : latest 10 from GamingOnLinux So-called 'FSFE' on EU: The answer for a digital sovereign future must be Free Software Roy Schestowitz : a pair of new blog posts Programming Leftovers Roy Schestowitz : Development with Perl, Python etc. Open Hardware/Modding: Keychain Camera, Raspberry Pi, Purism, and More Roy Schestowitz : Hardware leftovers today's howtos Roy Schestowitz : a handful of howtos How To Configure And Enable SSH On FreeBSD 15 and FreeBSD on Servers Roy Schestowitz : BSD leftovers today's leftovers Roy Schestowitz : GNU/Linux and more Over 4,700 Gemini Capsules Out There Roy Schestowitz : A year ago it was around 4,200 In Israel, Desktop Operating System Market Share as Measured by statCounter Indicates New Low for Windows, New High for GNU/Linux Roy Schestowitz : Google gained a lot, but so did GNU/Linux, and not ChromeOS Birthdays Roy Schestowitz : This coming summer this site becomes half my age Videos: Recent Shows or Clips About GNU/Linux Roy Schestowitz : via Invidious 2025-12-17 TUXEDO Gemini 17 Gen4 Debuts as Affordable Linux Desktop Replacement Rianne Schestowitz : The TUXEDO Gemini 17 Gen4 launches as an affordable Linux desktop replacement with an i9-14900HX Scribus 1.6.5 Released with Dozens of Fixes [Ubuntu PPA] Rianne Schestowitz : Scribus, the free open-source desktop publishing software, released new 1.6.5 version few hours ago Automotive Grade Linux Business Intelligence Journey: Introduction Rianne Schestowitz : Coming from the open source world, we are naturally used to showcasing what we do in the open Free and Open Source Software, and Review Rianne Schestowitz : This is free and open source software The 5 best Linux apps for students Rianne Schestowitz : So, you've decided to use Linux for your studies I've tried nearly every Linux package manager - these remain my favorite Rianne Schestowitz : I've used Linux for decades There's no such thing as a beginner Linux distro (and there never will be) Rianne Schestowitz : I can't count how many times I've seen articles titled "The X Best Linux Distros for Beginners" or some variation on that theme After Decades, Linux Finally Gains Stable GPIB Support Rianne Schestowitz : The GPIB is a short-range 8-bit, multi-master interface bus that was standardized as IEEE 488 Rhino Linux 2025.4 Brings Lomiri Packages and Updated Kernels Rianne Schestowitz : Rhino Linux 2025.4 introduces new Lomiri packages Android Leftovers Rianne Schestowitz : Android will let you disable Wi-Fi sharing on multi-profile devices Emmabuntüs Debian Edition 6 Released Roy Schestowitz : New distro release MidnightBSD 4.0 Release Notes Roy Schestowitz : "I’m happy to announce the availability of MidnightBSD 4.0 for amd64 and i386" Red Hat, Fedora, and Vojtux Roy Schestowitz : 4 links from/about Red Hat today's howtos Roy Schestowitz : many howtos for today Plasma 6.5 review - Solid improvements, destination unknown Roy Schestowitz : several dubious ergonomic choices, improved Wayland behavior and performance Audiocasts/Shows: Destination Linux and What’s in the SOSS? Roy Schestowitz : 2 new episodes today's leftovers Roy Schestowitz : with focus on Free, Libre, and Open Source Software Security Leftovers Roy Schestowitz : Security related picks Another Year Goes By... Roy Schestowitz : We're in good hands and very robust as a platform Today in Techrights Roy Schestowitz : Some of the latest articles How Free Software Probably Improves Physical and Mental Health Roy Schestowitz : That brings us to Free software Tux Machines Becoming a Lot More Productive Roy Schestowitz : We reckon we can produce a dozen a day if we can fully focus on what matters GNU/Linux Near 5% in Bangladesh, Land With Nearly 200 Million People Roy Schestowitz : Of course this is becoming a huge problem for Microsoft Games: Vampire Crawlers, Tingus Goose, and More Roy Schestowitz : mostly from GamingOnLinux Open Hardware/Modding: Raspberry Pi, Framework Desktop, and More Roy Schestowitz : Devices and Linux Programming Leftovers Roy Schestowitz : Development picks Standards/Consortia: "D-Bus is a disgrace to the Linux desktop"; State of HTML 2025 Roy Schestowitz : rants and raves Fedora Pivots to Slop (Bad News), IBM Buys Chatbot Nonsense, Red Hat Promotes Ansible Roy Schestowitz : Red Hat news/noise Open Hardware/Modding: MicroPython, Raspberry Pi, and More Roy Schestowitz : Hardware leftovers Updates From Debian/Freexian Collaborators Roy Schestowitz : 3 new updates Events/Audiocasts/Shows: Kodsnack, LibreOffice, and Linux Plumbers Conference Roy Schestowitz : 4 new picks Tor Browser, Mozilla "Dinosaur", and More Roy Schestowitz : Firefox and related news Security Leftovers Roy Schestowitz : Security patches, incidents, news Programming Leftovers Roy Schestowitz : Python, Rust, and Ruby WordPress wants to force AI onto 43% of all websites in the world Roy Schestowitz : Content Management Systems (CMS) gone rogue GNU/Linux and BSD Leftovers Roy Schestowitz : mostly GNU/Linux for today Keeping Things Simple Roy Schestowitz : The more bloated and complex something becomes, the more it should be considered worth avoiding Bulgaria: Windows Sank to All-Time Low, GNU/Linux Surged to 12% Roy Schestowitz : the total number of GNU/Linux users observed there is about 2.5 times smaller than Vista 11 users Open Hardware/Modding: RISC-V, ESP32, HealthyPi Roy Schestowitz : hardware leftovers FreeBSD 15.0-RELEASE on a Raspberry Pi Zero 2 W and Year of Advocacy, Community, and Growth Roy Schestowitz : FreeBSD news today's howtos Roy Schestowitz : only 3 more for now Security Leftovers Roy Schestowitz : only a few more for now Firefox DRM: Proprietary Software Downloaded, How Long Before the "AI" Company (Mozilla) Puts It There by Default? Roy Schestowitz : The same old name/brand/logo, albeit not the same product New Low for Microsoft Windows in Slovakia Roy Schestowitz : Windows falling to all-time lows 2025-12-18 Pop!_OS 24.04 LTS Released: A Letter From Our Founder Rianne Schestowitz : This year, System76 turned twenty GIMP 3.2 RC2: Second Release Candidate for GIMP 3.2 Rianne Schestowitz : After several weeks of bugfixes and polishing, we’re ready to share our second release candidate for GIMP 3.2 Kubuntu vs. Fedora: Which Linux distro is right for your KDE Plasma desktop? Rianne Schestowitz : Looking for the ideal distribution for KDE Plasma Your Raspberry Pi Can Be a Real Desktop (If You Pick the Right OS) Rianne Schestowitz : Here are the operating system choices when you want to use Raspberry Pi in a desktop setup Free and Open Source Software Rianne Schestowitz : This is free and open source software 5 features that make Linux more productive than Windows or Mac Rianne Schestowitz : Switching to Linux can be challenging Your digital life isn't yours: The hidden battle for software freedom Rianne Schestowitz : The term for this freedom to control your digital life is "free software" Stable kernels: Linux 6.18.2, Linux 6.17.13, and Linux 6.12.63 Rianne Schestowitz : I'm announcing the release of the 6.18.2 kernel Free and Open Source Software Rianne Schestowitz : This is free and open source software Linux Desktop is Fragmented (And That's NOT a Bad Thing) Rianne Schestowitz : Linux desktop is often described as fragmented, but with the right perspective Android Leftovers Rianne Schestowitz : Google’s Android 16 QPR3 Beta 1 includes a long-needed app transparency feature OpenShot 3.4 Released Roy Schestowitz : OpenShot 3.4 is here, and it's one of our largest updates we've ever done Bazzite: a gem for Linux gamers Roy Schestowitz : Bazzite also provides a custom kernel Mix and match Linux distributions with Distrobox Roy Schestowitz : Distrobox creator Luca Di Maio was inspired by the Toolbx project (formerly Container Toolbox) for Fedora New Articles in LWN About Linux, Python, and TLS Roy Schestowitz : 5 more new articles Today in Techrights Roy Schestowitz : Some of the latest articles Red Hat Developers and Fedora Interviews Roy Schestowitz : Interviews and more Ubuntu Studio is Linux’s best-kept secret for creators Roy Schestowitz : Ubuntu Studio might be a surprisingly solid option for you if you're a creator and you happen to like open-source software How we reduced Linux boot time on iMX93 to 1.8s Roy Schestowitz : We conducted an in-depth study with a clear goal: launch a graphic application (DOOM) in under 2 seconds on an i.MX93 board using Welma. Fulfilling My Birthday Wish Roy Schestowitz : I did what I promised I'd do: write. Games: EvoCreo, Open Fodder, and More Roy Schestowitz : 8 new stories from GamingOnLinux today's howtos Roy Schestowitz : half a dozen howtos Release of Flatpak 1.16.2 Roy Schestowitz : now out: Flatpak 1.16.2 Opus 1.6 Released Roy Schestowitz : also out this week Red Hat Leftovers Roy Schestowitz : many Red Hat things for now Programming Leftovers Roy Schestowitz : Development picks for today antiX-25-full-beta2 for public testing Roy Schestowitz : Here is the second beta iso of antiX-25 (64 and 32 bit) Applications and HowTos Roy Schestowitz : today's howtos and more Boiling Steam Hardware Review and Dedoimedo on DOSBox Roy Schestowitz : Gaming picks Audiocasts/Shows: Ask Noah Show and FLOSS Weekly Roy Schestowitz : 2 new episodes Open Hardware/Modding: PCBs, Raspberry Pi 5, and More Roy Schestowitz : Hardware picks today's leftovers Roy Schestowitz : GNU/Linux mostly Free, Libre, and Open Source Software Leftovers Roy Schestowitz : FOSS and more, daily links 2025-12-19 How to Install Linux Kernel 6.18 LTS on Ubuntu 25.10 and Ubuntu 25.04 Marius Nestor : Linux 6.18 LTS is now the latest stable and long-term supported (LTS) kernel series, and Ubuntu users can install it on their machines via the official Ubuntu Mainline Kernel PPA archive. Here’s how! Free and Open Source Software Rianne Schestowitz : This is free and open source software You keep hearing about immutable Linux — here’s the simple explanation Rianne Schestowitz : 2025 has easily been one of the strongest years for Linux on the desktop Android Leftovers Rianne Schestowitz : You can now start customizing your Wear OS watch face with Androidify bots Getting Earlier to Find and Curate GNU/Linux News Roy Schestowitz : We recently added a number of new software tools that make it easier to manage this site and produce new, original stories Today in Techrights Roy Schestowitz : Some of the latest articles NVIDIA 590.48.01 graphics drivers for Linux Roy Schestowitz : new release, several sources Security Leftovers Roy Schestowitz : Security picks, a handful of stories Free, Libre, and Open Source Software Leftovers Roy Schestowitz : FOSS picks IBM Red Hat and Fedora Pushing "AIOps" and Slop (Basically a Ponzi Scheme IBM Uses to Fake Its Worth) Roy Schestowitz : 3 more examples of this Kernel Space: Intel Failure and 6.17 Reaches End of Life Roy Schestowitz : some Linux leftovers GNU/Linux and Open Hardware (or Devices) Roy Schestowitz : a few more new picks GNU/Linux Applications and Games Roy Schestowitz : last batch of leftovers for now Fake Sites That Are Made by Bots Will Never Get Links From Tux Machines Roy Schestowitz : LLMs need to go the way of the dodo Games: Dune, Total War, and More Roy Schestowitz : 7 new posts from GamingOnLinux Proprietary 'Linux': Docker, Systemd, and WSL (Windows) Roy Schestowitz : making Linux a blob Birds Are Fantastic Pets and Not Much Maintenance (Just Don't Put Them in Cages) Roy Schestowitz : Birds in the wild are not domesticated and not traditional 'pets' today's howtos Roy Schestowitz : half a dozen howtos Update on KDE Home Automation (KIOT) and Qt Releases/News Roy Schestowitz : KDE/Qt news NetBSD, FreeBSD, and BSD Now Roy Schestowitz : BSD news Red Hat's Latest and Its Buzzwords Machine Roy Schestowitz : mostly Red Hat's site Open Hardware/Modding: Raspberry Pi and Hacking With Linux Roy Schestowitz : hardware leftovers Programming Leftovers Roy Schestowitz : Development related picks Free, Libre, and Open Source Software Leftovers Roy Schestowitz : FOSS picks today's leftovers Roy Schestowitz : mostly GNU/Linux picks Microsoft Windows Falls to All-Time Low in 'Capital of Europe', Belgium Roy Schestowitz : It probably should not be so surprising given this year's policy shifts Engineering Freeze 2025 Means the Site Will be More Accessible, But We'll Patch and Reboot This Weekend Roy Schestowitz : A change freeze is in effect, starting today analytics.usa.gov: Windows is Losing Market Share Roy Schestowitz : What else does Microsoft have to offer? Kernel Space / File Systems: linux-next, Rust CVE, OpenZFS, Fwupd Roy Schestowitz : Linux news 2025-12-20 Kdenlive 25.12.0 added New Welcome Dialog & Widget Docking System Rianne Schestowitz : The 25.12.0 version of Kdenlive video editor is finally available to download Armbian Team Launches New Official Imager for Flashing Armbian OS Rianne Schestowitz : The Armbian team has launched a new official imager that simplifies flashing Armbian OS on single-board computers across macOS How I assembled my own Plasma desktop Rianne Schestowitz : I also want to use Linux on this box, through virtualization Free and Open Source Software Rianne Schestowitz : This is free and open source software Mageia 10 Development Update: Planning and Key Highlights Rianne Schestowitz : On December 1st, the Mageia development team met to discuss the progress of Mageia 10 We can't advocate for freedom without your help Rianne Schestowitz : It's getting harder to live in freedom and it shouldn't have to be pearOS is a Linux that falls rather close to the Apple tree Rianne Schestowitz : Revived distro returns on Arch with KDE Plasma, global menus Debian Gets Its Own PPA-Like System as Debusine Repositories Launch Rianne Schestowitz : Debian introduces Debusine repositories Android Leftovers Rianne Schestowitz : Your Pixel just got a major update. Here’s how to download Android 16 QPR3 Beta 1 right now OpenZFS 2.4 Extends Linux Kernel Support to 6.18 and Supports FreeBSD 14–16 Rianne Schestowitz : OpenZFS 2.4 extends Linux kernel compatibility up to 6.18 while supporting FreeBSD 14, 15, and 16 Fwupd 2.0.19 Released With New CRC Tools and udev Support Rianne Schestowitz : Fwupd 2.0.19 introduces new CRC calculation tools Firefox and Mozilla Commit Suicide With Slop Roy Schestowitz : really bad Denmark Begins its Exit from Microsoft — and This is Just the Beginning Roy Schestowitz : The move is part of a government-wide effort to reduce dependency on Abusive Monopolist Microsoft software LibreOffice 25.8.4 Released, Czech translation of LibreOffice Draw Guide 25.8 Roy Schestowitz : LibreOffice 25.8.4 released, more news from the project '$100 Steam Machine' with Bazzite (GNU/Linux) and More Gaming News Roy Schestowitz : Games in the news PostgreSQL: pg_llm_helper 0.1.0 and tds_fdw Roy Schestowitz : PostgreSQL news Open Hardware, Retro, Modding, and Linux Roy Schestowitz : Hardware picks GNU/Linux Leftovers Roy Schestowitz : 3 more stories Security Leftovers Roy Schestowitz : Security picks for today Proprietary Software, Qt, and Systemd on Linux Roy Schestowitz : not so free after all Today in Techrights Roy Schestowitz : Some of the latest articles Copying the Competition Roy Schestowitz : not a great idea today's howtos Roy Schestowitz : some more stories for today, howtos for now The FreeBSD Foundation Taking Stock of 2025 Roy Schestowitz : several new posts Mozilla: Politics and Firefox Nightly Roy Schestowitz : latest from Mozilla Red Hat and Fedora Leftovers Roy Schestowitz : mostly redhat.com Games: SteamOS, Game Engines, and Godot Roy Schestowitz : gaming themed posts Programming Leftovers Roy Schestowitz : Development related picks Free, Libre, and Open Source Software, Sharing, Also Standards Roy Schestowitz : FOSS and more Distributions and Operating Systems: BSD, GNU/Linux, HaikuOS and More Roy Schestowitz : today's leftovers Reflecting on a Good Year Roy Schestowitz : 2025 was a good year for us overall because we probably hit a record high for number of new pages and we were generally happy GNOME Foundation Update and Roundup of This Week in GNOME Roy Schestowitz : GNOME news Docker Licensing / Legal: Enterprise-Grade Hardened Image Now "Apache License 2.0" Roy Schestowitz : Licence changes Ubuntu 26.04 LTS to arrive in April with Linux 6.20 kernel Roy Schestowitz : Plans for the next LTS Open Hardware/Modding: Homelab, Raspberry Pi, and More Roy Schestowitz : Hardware leftovers Operating Systems: GNU/Linux Distributions, FreeBSD, Tumbleweed, Red Hat Going Astray ("AI" Nonsense) Roy Schestowitz : OS news today's leftovers Roy Schestowitz : mostly GNU/Linux stuff Free, Libre, and Open Source Software and Programming Leftovers Roy Schestowitz : FOSS and coding Security Leftovers Roy Schestowitz : Security related picks 2025-12-21 GnuCash 5.14 Open-Source Accounting Software Adds Support for US Bonds Marius Nestor : GnuCash 5.14 has been released today as the latest stable version of this open-source, free, and cross-platform double-entry accounting software for GNU/Linux, macOS, and Windows systems. Alp Lab Unveils E1M Platform with Multi-vendor Embedded Roadmap Rianne Schestowitz : The SDK supports bare-metal, RTOS, and Linux-based systems This Week in Plasma: ambient light sensor support Rianne Schestowitz : This week many KDE contributors wound down their activities in preparation for some well-deserved rest ICORE-3576Q38 SoM packs RK3576 AI processor into a 38 mm module Rianne Schestowitz : Software support includes Android 14, Linux distributions, Buildroot, and RT-Linux configurations, according to T-Firefly’s wiki Free and Open Source Software Rianne Schestowitz : This is free and open source software Sparky 2025.12 Special Editions Rianne Schestowitz : There are new iso images of Sparky 2025.12 The 10 best Ubuntu default wallpapers of all time, ranked Rianne Schestowitz : Canonical has given cute animal-themed codenames to Ubuntu releases since the earliest versions of the operating system Immich 2.4 Released With Command Palette and UI Refinements Rianne Schestowitz : Immich 2.4, a self-hosted photo and video management platform MIT and Apache 2.0 Lead Open Source Licensing in 2025 Rianne Schestowitz : According to the Open Source Initiative Android Leftovers Rianne Schestowitz : I dug out my old Android tablet, and it replaced 3 expensive gadgets Today in Techrights Roy Schestowitz : Some of the latest articles Tux Machines Works With Web Browsers From 30 Years Ago Roy Schestowitz : Also, oldweb.today seems not to be working today GNU/Linux Climbs to All-Time High in Saudi Arabia Roy Schestowitz : Microsoft is measured at 13.8% there this month, based on Web usage Georgia: GNU/Linux Rises to Record High Roy Schestowitz : like in Russia Debian: Immutable Debian, MiniDebConf, EasyOS 7.1, and Sparky 2025.12 Roy Schestowitz : Debian news Games: Steam Deck, Necesse, and More Roy Schestowitz : gaming picks Over Half A Million Windows Users Are Switching To Linux Roy Schestowitz : Microsoft's loss is Linux's gain Graphics Stack: Big GPUs, FPS Boosts, NVIDIA, and RDNA Roy Schestowitz : Graphics news today's howtos Roy Schestowitz : many howtos Applications: jdSystemMonitor, Introducing Open Forms, and Release of GDB 17.1 Roy Schestowitz : Software leftovers GNU/Linux On a Floppy Disk and Azulle Access Arm is a Fanless Linux PC Stick Roy Schestowitz : 2 new stories Open Hardware/Modding and Mobile: Arduino, Raspberry Pi, and More Roy Schestowitz : hardware oriented news Web Servers and Chromium/Chrome Issues Roy Schestowitz : WWW related links KDE: KDE PIM Sprint 2025 in Paris and Why KMyMoney Lacks Old Binaries Roy Schestowitz : KDE news Programming Leftovers Roy Schestowitz : Development centric news Educational and GNOME Events Roy Schestowitz : 3 new ones GNU/Linux and BSD Leftovers Roy Schestowitz : mostly GNU/Linux, as usual 2025-12-22 Darktable 5.4 Open-Source RAW Image Editor Improves Camera Support Marius Nestor : Darktable 5.4 open-source RAW image editor is now available for download with support for new cameras, new noise profiles, and bug fixes. Ventoy 1.1.10 Bootable USB Creator Released with Support for AerynOS Marius Nestor : Ventoy 1.1.10 open-source bootable USB solution is now available for download with support for AerynOS and other improvements. 9to5Linux Weekly Roundup: December 21st, 2025 Marius Nestor : The 271st installment of the 9to5Linux Weekly Roundup is here for the week ending on December 21st, 2025. Parrot OS Switches to KDE Plasma Desktop Rianne Schestowitz : Yet another distro is making the move to the KDE Plasma desktop EU OS: Which Linux Distribution fits Europe best? Rianne Schestowitz : This post concerns the requirements of a Linux distribution for Europe in the context of the EU OS project and offers a comparison of Linux distributions Review: The best open source operating systems of 2025 Rianne Schestowitz : As the calendar draws to the end of 2025 I would like to take a few minutes and look back at some of the highlights of this year Free and Open Source Software Rianne Schestowitz : Only free and open source software is eligible for inclusion here Ubuntu 26.04 Wallpaper Competition Opened for Submissions Rianne Schestowitz : Wallpaper Competition for Ubuntu 26.04, Resolute Raccoon, opened for submissions. 6 of them will be included in the disc images Add a Pixel Santa to Your Ubuntu Desktop for Christmas Rianne Schestowitz : In past years I’ve shown you various ways to give Ubuntu a Christmas makeover, Kubuntu Focus M2: The power and privacy of Linux without the hassle Rianne Schestowitz : Security experts often recommend installing Linux to avoid these problems 5 hidden terminal surprises you can try on Ubuntu right now Rianne Schestowitz : If you're trying to get into the terminal app on your Ubuntu computer Android Leftovers Rianne Schestowitz : How to navigate with maps in Android Auto without cell service Luxonis OAK 4 CS Edge-Inference Camera with CS-Mount Optics and PoE Rianne Schestowitz : The platform runs Luxonis OS, a Linux-based operating system built on kernel 5.15 Best Free and Open Source Software Rianne Schestowitz : Only free and open source software is eligible for inclusion here Plans for KDE Plasma 6.6 and GNOME Will Reject Shell Extensions With AI-Generated So-called 'Code' (Slop) Roy Schestowitz : some KDE and GNOME picks XBox is Dead, What Next? Roy Schestowitz : The future of gaming looks increasingly bright for "Linux", not "Windows" Today in Techrights Roy Schestowitz : Some of the latest articles Calm Week Ahead, Looking Forward to 2026 Roy Schestowitz : This year this site added over 10,000 new pages In the Name of Love Roy Schestowitz : The Web is filled with hate and vitriol Grml - new stable release 2025.12 available Roy Schestowitz : code-named ‘Postwurfsendung’ Debian’s git transition and UCS (Univention Corporate Server) 5.2-4 released (based on Debian) Roy Schestowitz : Debian news Hardware and Retro: ZuluSCSI, Raspberry Pi, and More Roy Schestowitz : hardware picks Programming Leftovers Roy Schestowitz : Development related picks Free, Libre, and Open Source Software and Standards Leftovers Roy Schestowitz : FOSS and more GNU/Linux Leftovers Roy Schestowitz : GNOME, GNU/Linux, and more "No Kings" in Free Software Roy Schestowitz : if your project or a project you rely on is stuck in GitHub, then Microsoft is your king. In 2025 Linux Got $8.4 Million, GNU Received a Lot Less Roy Schestowitz : giving capital to hosting of GNU projects and various other essential functions Linux 6.19-rc2 is out Roy Schestowitz : before xmas GNU/Linux Distributions and Operating Systems: ObsidianOS, Dual Booting, and ChromeOS Roy Schestowitz : 3 new stories Hardware/Modding: Jetson Orin Nano, ESP32, and More Roy Schestowitz : Hardware leftovers Free, Libre, and Open Source Software and Programming Leftovers Roy Schestowitz : FOSS and coding Games: Old ROMS and GNU/Linux Games via Steam Roy Schestowitz : gaming leftovers Audiocasts/Shows: LINUX Unplugged, mintCast, and Linux Out Loud Roy Schestowitz : 3 new episodes GNU/Linux and BSD Leftovers Roy Schestowitz : mostly GNU/Linux Audacity was too clunky, so I switched to this modern open-source audio editor Roy Schestowitz : Tenacity is a forked version of Audacity, but this open-source audio editor was born out of necessity when Audacity's ownership changed Docker and Proxmox: Working With Containers and Virtual Machines Roy Schestowitz : 4 very recent articles Trying the Terminal Instead of GUIs Roy Schestowitz : a bunch of recent articles João Carrasqueira Explores Moving From Windows to GNU/Linux Distros Roy Schestowitz : 4 articles, mostly João Carrasqueira Distributions and Operating Systems: Nitrux, Distros That Look Better Than Vista 11, and Kolibri OS Roy Schestowitz : roundup of 3 recent articles Valnet Articles on Using Raspberry Pi Devices Roy Schestowitz : 3 Raspberry Pi articles Moving to GNU/Linux With Proprietary Software and Impression Roy Schestowitz : a pair of articles Valnet on KDE, Feodra, Arch, and More Roy Schestowitz : XDA and HowTo Geek on GNU/Linux Corporate Mobs vs the Free Software Community Roy Schestowitz : politics are only a distraction from the core motivations of the mob The Net's Sleeping Giant: Gemini Protocol Roy Schestowitz : At the moment, Geminispace grows rather than shrinks over time 2025-12-23 MPV 0.41 Open-Source Video Player Released with Improved Wayland Support Marius Nestor : MPV 0.41, an open-source and free media player that supports a wide range of media file formats, is now available for download with new features and improvements. Raspberry Pi Imager 2.0.2 Improves Write Speeds And UI Stability Rianne Schestowitz : Raspberry Pi Imager 2.0.2 boosts performance with direct I/O bypass Incus 6.20 Container & Virtual Machine Manager Released Rianne Schestowitz : Incus 6.20 delivers new clustering, storage, and VM enhancements Qubes OS 4.3 Brings Fedora 42, Debian 13, and Whonix 18 Templates Rianne Schestowitz : The Qubes OS 4.3 release updates default templates to Fedora 42 MX Linux MX-25 Infinity Xfce - Jolly but not too chipper Rianne Schestowitz : Typically, over the years, I've mostly used "big names" distros for my serious workloads. Initially, SUSE, later on An uncomfortable but necessary discussion about the Debian bug tracker Rianne Schestowitz : To me managing bugs is so awful that it is actively pushing me away from contributing to Debian Away from Cloud: This Local, Offline Tool is Perfect for Personal Project Management on Linux Desktop Rianne Schestowitz : Schedule (found on Flathub as This Week in My Life) is a lightweight, open-source planner built for the Linux desktop and intended for offline Free and Open Source Software Rianne Schestowitz : This is free and open source software This Linux distro makes your old laptop feel like a Mac - and it's free Rianne Schestowitz : pearOS makes switching from Mac easy. Here's why I automated my entire Linux desktop — and I didn’t have to touch the terminal once Rianne Schestowitz : The only way to truly reclaim my time was by automating my Linux desktop Clapper 0.10 Media Player Released With Enhancer Plugin System Improvements Rianne Schestowitz : Clapper 0.10, an open-source media player Android Leftovers Rianne Schestowitz : How Students Use Android Widgets to Stay Organized New Beta of Linux Mint Roy Schestowitz : Linux Mint 22.3 “Zena” Good Code Does Not Write Itself Roy Schestowitz : There are no shortcuts The Brave New World? Roy Schestowitz : New can mean oppression Google Alerts Polluted by Slopfarms Roy Schestowitz : Slopfarm WebProNews again references "Tux Machines coverage". Why does Google let slopfarms creep in? We Can Continue to Grow as Long as We Cover the Topics and Issues That Matter Roy Schestowitz : The reason why people come to our sites is that we've long focused on suppressed matters and we offer something unique Today in Techrights Roy Schestowitz : Some of the latest articles Preservation of GNU/Linux History Roy Schestowitz : Large corporations that try to hijack (to control) everything - including narratives - like to tell us lies about history GNU Taler v1.3 released Roy Schestowitz : GNU Taler is a Free Software payment system that preserves the privacy of payers Games: Steam, Siren, Luxman Moonlit Market, and More Roy Schestowitz : 11 stories for today Project Speedrun and deciding "to make the switch to Linux full-time" Roy Schestowitz : a pair of stories Debian’s git transition and Debian bug tracker woes Roy Schestowitz : Debian news Graphics: KMS, GPUs, and Drivers Roy Schestowitz : Some graphics in Linux today's howtos Roy Schestowitz : 4 howtos for now Programming Leftovers Roy Schestowitz : Development related picks Free Software, the Net, and Standards Roy Schestowitz : Standards and FOSS mostly GNU/Linux and BSD Leftovers Roy Schestowitz : mostly GNU/Linux picks Istio 1.28.2, Istio 1.27.5, and Istio 1.26.8 Announced Roy Schestowitz : Announcing 3 releases Audiocasts/Shows: This Week in Linux, Linux User Space, Late Night Linux, and More Roy Schestowitz : 4 new episodes Open Hardware/Modding: Raspberry Pi, Arduino, and More Roy Schestowitz : Hardware leftovers Programming: Ruby, GDB, Rakudo, and Rusticon Roy Schestowitz : Development picks PostgreSQL: scylla_fdw and pgFormatter v5.9 released Roy Schestowitz : PostgreSQL software Free, Libre, and Open Source Software, Standards Leftovers Roy Schestowitz : FOSS and more GNU/Linux Leftovers Roy Schestowitz : GNU/Linux and more Security Leftovers Roy Schestowitz : Security related picks Windows fatigue continues to push thousands of gamers to switch to this Linux distro Roy Schestowitz : Bazzite, a Linux distro that has a lot in common with Valve's SteamOS Microsoft-Funded Linux Foundation Promoting Slop Lobby Founded by Microsoft, Mirantis and Shinkai Join in Roy Schestowitz : Slop lobby Kernel Space / File Systems: ZFS, Linux Kernel 6.19, and Amiga's Filesystem Roy Schestowitz : 3 new articles A Time for Rest Roy Schestowitz : To all those who celebrate Christmas we say "have yourself a Tuxmass" 2025-12-24 Best Free and Open Source Software Rianne Schestowitz : This is free and open source software Dolphin Emulator 2512 fixed SD & added Logitech Microphone Emulation Rianne Schestowitz : Dolphin, the GameCube and Wii emulator, released new 2512 version yesterday Firefox is Adding Split View for Tabs, Here’s How to Enable It Rianne Schestowitz : You can try the feature in Firefox 146 Lubuntu vs. Xubuntu: Which Ubuntu flavor is right for you - my expert advice Rianne Schestowitz : Two Ubuntu-based distributions that have the same goal Here's Our Prediction for the Future of Desktop Linux in 2026 Rianne Schestowitz : Our take on the trends that will shape desktop Linux and open source in the year ahead Linux gaming is finally great, and these 4 distros are leading the way Rianne Schestowitz : I’ve been seeing more and more people seriously talking about switching to Linux QEMU 10.2 Expands RISC-V, PowerPC, and s390x Emulation Capabilities Rianne Schestowitz : QEMU 10.2 expands emulation support for RISC-V, PowerPC EmmaDE6 1.00: a new version focused on accessibility! Roy Schestowitz : The Emmabuntüs Collective is pleased to announce the release, on December 15, 2025, of the new Emmabuntüs Debian Edition 6 1.00 64-bit Recent Videos/Shows About GNU/Linux Roy Schestowitz : Shows and clips in Invidious Weekly GNU-like Mobile Linux Update: The Other Half Reloaded and No December Lull Roy Schestowitz : mobile Linux roundups Perl Community and Perl Programming Roundup Roy Schestowitz : Perl links today's leftovers Roy Schestowitz : GNU/Linux mostly Security and Traps Roy Schestowitz : 3 more links Today in Techrights Roy Schestowitz : Some of the latest articles GNU/Linux Measured at All-Time High in Angola Roy Schestowitz : This is a problem for Microsoft Tomorrow It's Grav-Mass Roy Schestowitz : ahead of tomorrow's celebration of Grav-Mass Microsoft Falling to Half a Percent in Thailand Roy Schestowitz : For search In Praise of Modularity Roy Schestowitz : The kernel, Linux, eventually 'fell into place' because GNU's HURD wasn't quite ready Open Hardware/Modding: Jetson, Raspberry Pi, Nokia N900, and More Roy Schestowitz : Linux and Open Hardware Kernel News and Graphics in Linux Roy Schestowitz : Linux mostly Retro and Games (Linux Focus) Roy Schestowitz : Games and more today's howtos Roy Schestowitz : idroot and more Kubernetes v1.35 and Docker Update Tool Watchtower Reaches End of Maintenance Roy Schestowitz : Container tools Audiocasts/Shows: Linux Matters, Ask Noah Show, and Destination Linux Roy Schestowitz : 3 new episodes GNU/Linux Leftovers Roy Schestowitz : GNU/Linux and applications for it Security Leftovers Roy Schestowitz : Security and more Programming Leftovers Roy Schestowitz : Development and more New PostgreSQL Contributors December 2025 and Pgpool-II 4.7.0 is Released Roy Schestowitz : Database leftovers (PostgreSQL) SaaS/Back End/Databases: Curl, RSS, Firefox Flopping Roy Schestowitz : WWW related news FSF / Software Freedom / Copycat Org (SFC) Roy Schestowitz : talking about Free software Free, Libre, and Open Source Software and Standards Roy Schestowitz : FOSS leftovers The Free Software Foundation (FSF) Will Likely Meet Goal Roy Schestowitz : managing to raise money and add many members 2025-12-25 Void Phone VX1 is Linux phone with enterprise management features Rianne Schestowitz : The new Void Phone VX1 is basically a rebranded FLX1S that comes with a few bonus features made for corporate and government customers Getting scanning to work with Gimp on Trixie Rianne Schestowitz : Trixie ships Gimp 3.0.4 and the 3.x series has gotten incompatible to XSane My Holiday Hopes for Linux and Open Source Rianne Schestowitz : As the old year is replaced by the new, here’s Jack Wallen’s wish list for Linux and open source in 2026 Free and Open Source Software Rianne Schestowitz : This is free and open source software Free Software Foundation receives historic private donations Rianne Schestowitz : These extraordinary donations, both made to the FSF in the cryptocurrency Monero Ubuntu's new opt-in, open-source telemetry is a win-win for Linux users - here's why Rianne Schestowitz : Fortunately, Canonical has shown how it can be done right Want real privacy? Ditch big-tech OSes and go Linux Rianne Schestowitz : Linux is built on fundamentally different principles 5 New Linux Distributions We Discovered in 2025 Rianne Schestowitz : No, this is not a list of all the new distros that came up in 2025 FreshRSS 1.28 Feed Aggregator Released With New Sorting Options Rianne Schestowitz : FreshRSS 1.28 self-hosted RSS feed aggregator introduces advanced search Kitty Terminal 0.45 Released With New Keyboard-First File Selector Kitten Rianne Schestowitz : Kitty, one of the most feature-rich, GPU-accelerated, and highly efficient cross-platform terminal emulators Android Leftovers Rianne Schestowitz : Android 16 QPR3 Beta 1.1 Released for Pixel Phones! Calibre 8.16 Adds LLM Slop for Hype's Sake Roy Schestowitz : Calibre 8.16 is out Microsoft Windows May Have Fallen Below 3% "market Share" in Sudan Roy Schestowitz : Perhaps many "Windows PCs" became GNU/Linux and most new purchases are Andro	2026-01-13T09:29:50
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https://www.cisco.com/site/jp/ja/buy/index.html	シスコの製品、サービス、ソフトウェアの購入 - Cisco Skip to main content Skip to search Skip to footer Cisco.com Japan 製品とサービス Close ソリューション Close サポート Close 学習 Close シスコが選ばれる理由 Close パートナー Close サイトマップ購入のご案内パートナー JA JP ログインサイトマップ検索メニュー閉じる購入のご案内パートナーログイン JA JP Close Close Close Close Close ようこそ。ご用件をどうぞ。購入案内シスコの製品、サービス、ソフトウェアの購入方法をご覧ください。シスコに問い合わせる詳細を確認する最適な購入方法を見つけるための詳細なガイダンスをご確認ください。 Cisco セールス担当者とチャットするライブチャットを開始して、ご購入手続きをスムーズに進めることができます。チャットで話すシスコパートナーと連携するカスタムソリューションを設計、販売、サポートする資格を持つシスコ認定パートナーと連携します。パートナーを探す Show more シスコパートナーの皆様へ。 Cisco Commerce を使用して、製品の構成、見積の作成、発注などを行えます。 Cisco Commerce にログインその他の購入方法シスコセールス一般のお問い合わせ、またはライブエージェントとのチャットをご希望の場合は、セールス担当者までご連絡ください。お問い合わせオンラインで購入ネットワーク、セキュリティ、コラボレーション製品を選び、シスコの認定販売代理店から直接ご購入いただけます。 Cisco Small Business のオプションを見る Webex プランの詳細を見るマーケットプレイスで購入業界をリードするシスコ製品が、Amazon Web Services、Google Cloud、Microsoft Azure でご購入いただけます。 Amazon Web Services (AWS) Google Cloud Microsoft Azure Show more FAQ Cisco Service Contract はどのように管理および更新できますか？ Cisco Commerce ソフトウェアサブスクリプションおよびサービス（CCW の更新サービス）シスコアカウントにログインして Cisco Commerce オンラインプラットフォームにアクセスします。現在の契約内容の表示、更新日の確認、更新時の見積作成、サービス対象時間を延長するための注文の送信は、このプラットフォームで行うことができます。エンタープライズソフトウェアの購入プログラムに関する情報はどこで確認できますか？ Cisco Enterprise Agreement（EA） Cisco Enterprise Agreement (EA) により、ライフサイクル全体を通してソフトウェアをさらに最適かつ容易に管理できるようになります。契約条件を統合し、ライセンス管理を単一契約に集約して簡素化できます。現在のシスコライセンスはどのように管理できますか？シスコライセンススマートアカウント、スマートライセンス、エンタープライズアグリーメントなどのシスコライセンスの管理方法に関する詳細をご覧ください。 Splunk 製品の購入に関する情報はどこで確認できますか？ Splunk の価格 Splunkの価格についてこちらのページでご紹介しています。購入に関するご相談は各営業担当へご連絡いただきますようお願いします。シスコライセンスのサポートに関する情報はどこで確認できますか？ライセンスのサポートライセンスサポートを通して、確実にシスコライセンスに関するトラブルを解決できます。シスコパートナーになるための詳細はどこで確認できますか？シスコパートナーシスコパートナーは、リワードとして提供されるプログラムやスペシャライゼーションに加えて、プラクティスを刷新するためのトレーニングや支援、さらに能力や販売活動を変革する機会など、特別なメリットが得られます。 EOL/EOS 製品に関する詳細はどこで確認できますか？販売終了製品販売終了またはサポート終了の製品であるかを確かめることができます。ご購入を検討されている場合ビジネスニーズに合った製品、サービス、ソフトウェアをお選びいただけるようシスコがサポートいたします。シスコに問い合わせるパートナーを探すクイックリンクシスコについてシスコに問い合わせ採用情報パートナーとつながる人事および法務フィードバックこのサイトについてご利用条件プライバシークッキー情報セキュリティ基本方針商標サプライチェーンの透明性サイトマップ © Cisco Systems, Inc.	2026-01-13T09:29:50
https://www.atlassian.com/ko/software/jira/service-management/product-guide/tips-and-tricks/premium-onboarding	Premium 온보딩 가이드 \| Jira Service Management \| Atlassian Close 선택한 언어 로 이 페이지를 보고 계십니까? 모든 언어 언어를 선택합니다. 中文 Deutsch English Español Français Italiano 한국어 Nederlands 日本語 Português Pусский Polski 무료로 시작 기능 솔루션 사용 사례별 기능별 업계별 사용 사례별 IT 지원 IT 운영 비즈니스 팀 고객 서비스 인사 기능별 소규모 팀 Premium Enterprise 업계별 기술 및 통신 금융 서비스 리테일 제조 Back 가격 리소스 유형별 ITSM 제품 가이드 템플릿 추가 리소스 Back 자세한 내용 + 간략히 보기 - 무료로 시작 Back 무료로 시작 Jira Service Management는 이제 Service Collection의 일부가 되어 그 어느 때보다 강력해졌습니다. Rovo, 자산 및 새로운 Customer Service Management 앱으로 탁월한 서비스 경험을 제공하세요. 지금 사용해 보세요 가이드 홈 Jira Service Management 정보 시작하기 빠른 시작 가이드 서비스 요청 관리 인시던트 관리 문제 관리 변경 관리 엔터프라이즈 서비스 관리 지식 관리 자산 및 구성 관리 유용한 정보와 팁 AI 기능 가이드 분석 기능 가이드 자산 기능 가이드 자동화 기능 가이드 채팅 기능 가이드 양식 기능 가이드 Virtual Service Agent 기능 가이드 에이전트 온보딩 가이드 Jira 통합 가이드 Premium 플랜 온보딩 가이드 팀에서 관리하는 프로젝트 가이드 HR 서비스 관리 Premium 온보딩 가이드 개요 이 가이드는 Jira Service Management Cloud의 Premium 에디션 관리자가 Premium 기능에 온보딩하고 Premium 라이선스를 최대한 활용할 수 있도록 돕기 위해 만들어졌습니다. Jira Service Management Premium 은 고급 기능을 통해 Cloud에서 Jira Service Management의 규모를 자신 있게 조정할 수 있도록 설계되었습니다. Premium 기능 하이라이트를 보려면 이 동영상을 확인하세요. 이 가이드에서는 인시던트 관리, 자산 및 구성 관리, 변경 관리 및 Premium 플랫폼 기능을 위한 고급 Premium 기능과 활용 방법을 안내합니다. 규모에 따른 인시던트 관리 Jira Service Management Premium에는 수동 작업을 줄이고 인시던트에 대해 더 빠르게 협력할 수 있게 해주는 강력한 인시던트 관리 기능이 포함되어 있습니다. 참고: 모든 Premium Jira Service Management 플랜에는 Opsgenie가 포함되어 있습니다. 이 기능 중 일부에 액세스하려면 왼쪽 상단 모서리에 있는 제품 메뉴를 사용하여 Opsgenie UI로 이동해야 합니다. 자동 인시던트 만들기 및 오케스트레이션 Jira Service Management Premium에서는 주요 인시던트 만들기를 자동화하고 주요 이해 관계자에게 신속하게 알리고 인시던트 대응을 오케스트레이션하여 모든 주요 인시던트를 해결할 수 있습니다. 인시던트 규칙 을 사용하면 If/Then 구문과 일치 조건에 따라 인시던트가 어떻게 만들어지고 작동하는지를 사용자 지정할 수 있습니다. 알림 데이터가 지정된 조건(인시던트 규칙)과 일치하면 자동으로 인시던트가 만들어지고 원시 알림이 해당 인시던트와 연결됩니다. 인시던트 규칙으로 인시던트를 자동으로 만드는 방법 알아보기 인시던트 전화 회의 인시던트 전화 회의를 사용하면 인시던트 대응을 명령, 제어 및 조율하고 동영상 브리지 및 다른 통합 커뮤니케이션 도구를 통해 효과적으로 공동 작업할 수 있습니다. 영상 통화와 음성 통화는 귀하와 팀이 주요 인시던트에 대해 협력하여 주요 인시던트를 최대한 빠르게 해결할 수 있도록 관련 팀과의 쉽고 직접적인 커뮤니케이션을 도와주는 중요한 도구입니다. Jira Service Management에서 인시던트 전화 회의의 주요 구성 요소로는 동영상 도구, 활동 스트림이 실시간으로 업데이트되는 라이브 채팅 및 대응자 추가와 같은 인시던트 작업이 있습니다. 기본 제공되는 채팅 화면 공유 대응자 추가 기본 제공되는 채팅 채팅 말풍선채팅 패널을 사용하여 통화 중인 다른 사용자에게 메시지를 보내고 참가자들의 활동을 확인하세요. 채팅 패널을 열려면 동영상 아래에 있는 아이콘을 선택합니다. 새 메시지를 보낼 때 채팅 패널이 닫혀 있으면 페이지 왼쪽에 알림이 표시됩니다. 화면 공유 화면 공유화면 공유를 사용하면 인시던트가 발생했을 때 더 빠르게 공동 작업할 수 있습니다. 세션에서 화면을 공유하려면 동영상 아래에 있는 아이콘을 선택합니다. 대응자 추가 권한이 있는 경우 전화 회의 중에 대응자를 추가할 수 있습니다. 채팅의 참가자 탭에서 대응자 추가를 선택하고 팀/대응자 이름을 입력하여 인시던트에 새 대응자를 추가합니다. 통화 참가자는 50명으로 제한됩니다. 인시던트 관제 센터의 권한을 설정하는 방법을 알아보세요. 인시던트 전화 회의에 액세스하려면 이슈 보기의 오른쪽에 있는 세부 정보 섹션의 전화 회의 필드를 사용하여 '통화 참여' 또는 '통화 시작'을 선택하면 됩니다. 인시던트에서 전화 회의를 만들거나 전화 회의에 참여하는 방법 알아보기 하트비트 모니터링 Jira Service Management Premium에서 Heartbeats 는 연결 문제가 있는지 항상 파악할 수 있도록 모니터링 도구가 완전히 연결되고 올바르게 작동하도록 합니다. Heartbeats는 모니터링 도구가 연결되어 있는지 확인할 뿐만 아니라 작업이 완료되었는지 모니터링하고 임시 작업이 완료되지 않았을 경우 팀에 알림을 보내 진정한 엔드투엔드 알림을 제공합니다. Opsgenie UI(왼쪽 상단 모서리에 있는 제품 메뉴를 통해 액세스 가능)에서 전역 설정 메뉴로 이동합니다. 그런 다음 왼쪽 패널에서 Heartbeats를 선택합니다. 여기에 Heartbeats를 필요한 만큼 추가하여 시스템과 작업을 모니터링할 수 있습니다. Heartbeats를 설정하는 방법 알아보기 알림 고급 알림 통합 Jira Service Management Premium의 고급 알림 통합 을 사용하면 200개가 넘는 타사 도구를 Jira Service Management에 연결하고 다음과 같은 기능을 이용할 수 있습니다. 여러 팀에 알림을 보낼 수 있는 전역 통합 다른 도구 또는 엔드포인트로 알림을 전송하기 위한 아웃바운드 웹후크 등 아웃바운드 통합 앞뒤로 동기화가 가능한 양방향 통합 고급 보기 필터를 통한 통합 알림 음성 알림 통합을 더 세밀하게 제어할 수 있게 해주는 기능 외에도 Jira Service Management Premium을 사용하면 에이전트가 알림을 놓치지 않도록 SMS와 모바일 푸시 알림을 비롯해 음성 알림 을 받을 수 있습니다. 알림을 설정하려면 다음을 수행하세요. 서비스 프로젝트에서 사이드바 탐색의 알림을 엽니다. 그러면 Opsgenie로 이동하게 됩니다. Opsgenie에서 설정 > 알림으로 이동합니다. 이메일 또는 전화번호를 추가하여 연락 방법을 업데이트합니다. 알림 규칙을 설정합니다. 음성 알림 및 SMS 알림에 대해 자세히 알아보기 수신 전화 라우팅 Jira Service Management Premium을 사용하면 수신 전화를 적시에 적절한 팀에 분배하고 연결하도록 선택할 수 있습니다. 수신 전화 라우팅 은 대기 중 담당자 기본 설정에 따라 수신 전화를 분배하고 연결하는 프로세스를 관리합니다. 따라서 다음과 같은 작업을 할 수 있습니다. 통화 중이거나 이미 참여 중이거나 통화 가능한 직원의 수에 관계없이 고객 전화에 항상 응답하도록 합니다. 고객이 전화를 걸 때 적절한 직원과 통화할 수 있도록 대기 중 담당자 일정을 수립합니다. 지원 서비스를 현지화하고 전화를 적절한 지역에 라우팅합니다. 수신 전화 언어 지원은 8개 언어로 메시지를 읽을 수 있습니다. 브라우저 기반 전화 응답으로 브라우저에서 전화를 받습니다. 수신 전화 라우팅에 대해 자세히 알아보기 대기 일정 대기 중 담당자 일정 은 해당 시간의 대기 중 담당자를 결정하는 데 사용됩니다. 대기 중 담당자 일정은 모든 Jira Service Management 플랜에서 사용할 수 있지만 Opsgenie UI의 팀 탭 > 대기 중 담당자 에서 설정됩니다. 하지만 Jira Service Management Premium에서는 팀당 여러 개의 회람 규칙과 고급 에스컬레이션 단계(예: 일정의 다음 사용자에게 알림)를 사용하여 한 단계 더 나아갈 수 있습니다. 대기 중 담당자 일정을 수립하는 방법 알아보기 인시던트 조사 보기 인시던트의 원인을 파악하면 에이전트가 인시던트 해결을 위해 어떤 조치가 필요한지 더 잘 이해할 수 있어 인시던트의 MTTR(평균 해결 시간)이 줄어들고 인시던트에 더 효과적으로 대응할 수 있습니다. 인시던트 조사 보기 를 사용하면 인시던트로 이어지는 모든 배포와 커밋을 볼 수 있어 에이전트가 인시던트를 조사하고 근본 원인을 파악하고 문제가 있는 코드 변경을 인시던트의 잠재적 원인으로 표시할 수 있습니다. 또한 시스템의 마지막 안정적인 상태와 현재의 중단된 상태 사이의 모든 변경 사항에 대한 단일 정보 출처 역할을 합니다. 변경 사항에는 코드 배포, 인프라 변경, 구성 변경, 기능 플래그 변경 또는 변경 관리 프로세스 중에 만들어진 수동 변경 요청이 있을 수 있습니다. 돋보기인시던트 조사 보기에 액세스하려면 주요 인시던트 발생 시 이슈를 보고 있을 때 “ 조사”라는 버튼을 선택하면 됩니다. 유연한 자산 및 구성 관리 Jira Service Management Premium에서는 팀이 자산, 구성 항목 및 리소스를 추적하여 애플리케이션, 서비스, 기본 인프라 및 기타 주요 자산 간 핵심 관계를 파악하는 데 도움이 되는 자산에 액세스할 수도 있습니다. 자산은 Jira를 기반으로 구축되어 자산 및 구성 항목에 대한 서비스 요청, 인시던트, 문제, 변경 및 기타 이슈에 연결하는 간단하고 빠른 방법을 팀에 제공하여 가치 있는 컨텍스트를 얻을 수 있습니다. 자산을 시작하려면 이 온보딩 가이드 를 확인하세요. 변경 관리 자동화 Jira Service Management Premium에서는 배포 제어 를 추가하여 변경 위험에 따라 배포를 자동으로 제어할 수 있습니다. 배포 제어를 통해 Jira Service Management에 연결한 CI/CD 도구를 사용하여 변경 관리 프로세스의 특정 지점에서 배포를 허용하거나 금지할 수 있습니다. 위험도가 낮은 변경 사항은 자동으로 승인할 수 있으며 위험도가 높은 변경 사항은 배포를 일시 중지하고 검토가 필요하다는 것을 승인자에게 알립니다. 커밋 메시지에 Jira Software 이슈 키를 추가하기만 하면 변경 기록이 만들어져 자동으로 승인되고 몇 초 만에 배포가 프로덕션 단계로 넘어갑니다. 배포 제어를 사용하려면 먼저 Jira Service Management에서 설정한 다음 CI/CD 도구에서 설정해야 합니다. 배포 제어를 설정하는 방법 알아보기 Premium 플랫폼 기능 Premium 에디션 Atlassian 제품 전반에 걸친 기능도 있습니다. 이 가이드에서는 Jira Service Management에 가장 도움이 되는 몇 가지를 선별하여 설명합니다. 관리자 인사이트 Jira Service Management, Jira Software 및 Confluence의 Premium 플랜 전반에서 이루어지는 일련의 분석을 통해 제품 사용과 보안 관행에 대한 인사이트를 확보하세요. 분석을 사용하여 제품의 채택을 추적하고 누구에게 제품 액세스 권한이 필요한지에 대해 데이터 기반의 결정을 내리고 조직의 보안을 평가할 수 있습니다. 조직의 인사이트에 액세스하는 방법: admin.atlassian.com 으로 이동합니다. 두 개 이상이 있는 경우 조직을 선택합니다. 보안 > 인사이트 를 선택합니다. 샌드박스 샌드박스 는 프로덕션에 변경 사항을 적용하기 전에 테스트 및 실험할 수 있는 분리된 환경입니다. 샌드박스를 사용하면 회사 전체에 롤아웃하기 전에 환경의 샌드박스 복사본에서 업데이트 및 새 앱의 롤아웃을 테스트하고 제어할 수 있습니다. 샌드박스는 주로 변경 사항을 테스트하는 데 사용되지만 샌드박스를 만들어 서버에서 클라우드로의 마이그레이션을 테스트할 수도 있습니다. 샌드박스를 만드는 방법: admin.atlassian.com 으로 이동합니다. 두 개 이상이 있는 경우 조직을 선택합니다. 제품 > 샌드박스 를 선택합니다. 샌드박스 만들기 를 선택합니다. 제품을 선택합니다. 만들기 를 선택합니다. 샌드박스가 준비되면 이메일 및 샌드박스 페이지를 통해 알려드리겠습니다. 샌드박스를 만드는 데 최대 30분이 걸릴 수 있습니다. 샌드박스를 만들려면 조직 관리자 권한이 있어야 합니다. 샌드박스 설정에 대해 자세히 알아보세요 . 릴리스 트랙 릴리스 트랙 을 사용하면 최종 사용자에게 변경 내용을 언제, 누가 릴리스할지 제어할 수 있습니다. Atlassian Cloud 릴리스 제어 옵션을 사용하면 Cloud 제품의 일상적인 관리 예측이 더 쉬워져 향후 제품 변경에 대한 계획, 준비 및 성공을 도와줍니다. 릴리스 트랙에는 두 가지 서로 다른 옵션이 있습니다. 연속 번들 연속 제품이 사용 가능해지는 즉시 변경 사항과 기능을 받습니다. 제품은 기본적으로 연속 릴리스 트랙에 있습니다. 번들 제품이 매월 두 번째 화요일에 그룹 단위로 변경 사항을 받습니다. 변경 사항은 22:00 UTFC부터 롤아웃됩니다. 제품이 변경 사항을 받는 시간은 선택할 수 없습니다. 릴리스 트랙을 변경하는 방법: admin.atlassian.com 으로 이동합니다. 두 개 이상이 있는 경우 조직을 선택합니다. 제품 > 릴리스 트랙 을 선택합니다. 표에서 제품을 찾아 트랙 변경 을 선택합니다. 트랙을 선택하고 다음 을 선택합니다. 확인 을 선택합니다. 전역/다중 이용 자동화 전역 및 다중 프로젝트 규칙 은 관리자가 Automation을 사용하여 규모를 확장하는 데 도움이 됩니다. 이 기능을 사용하면 관리자가 프로젝트별로 규칙을 만들고 편집할 필요 없이 인스턴스의 여러 또는 모든 프로젝트에 걸쳐 실행할 수 있는 단일의 규칙을 만들 수 있습니다. Jira Service Management Premium을 사용하면 매달 1,000개의 글로벌 및 다중 프로젝트 규칙에 액세스하여 코드가 필요하지 않은 Jira의 자동화 엔진으로 시간을 절약하고 팀의 집중력을 유지할 수 있습니다. 전문가 팁 - Jira Service Management Premium을 사용하면 자산에서 개체를 자동화하여 시간을 더 절약하고 효율성을 높일 수 있습니다. 자세히 알아보려면 자동화 가이드 를 확인하세요. 결론 이 가이드에서 설명한 기능 외에도 Jira Service Management Premium에는 중요한 이슈에 대해 1시간 이내에 응답할 수 있는 연중무휴 Atlassian Cloud 지원 , 팀과 고객이 모든 크기의 첨부 파일과 파일을 업로드할 수 있는 무제한 스토리지 , 가동 중지 시간에 대해 걱정할 필요가 없도록 99.9%의 가동 시간 SLA 가 포함되어 있습니다. 기어Premium을 무료로 사용해 보실 수 있습니다! 아직 Jira Service Management가 없다면 여기 에서 등록할 수 있습니다. 다른 Jira Service Management 에디션을 사용하는 경우 클라우드 사이트에 로그인하여 Premium을 사용해 보고 설정( ) > 청구 > 구독 관리 를 선택한 다음 플랜 이름 옆에 있는 변경 을 선택하면 됩니다. 유용한 정보와 팁 자산 온보딩 가이드 읽기 회사 구직 이벤트 블로그 투자자 관계 Atlassian Foundation 보도 자료 문의하기 제품 Rovo Jira Jira Align Jira Service Management Confluence Loom Trello Bitbucket 제품 모두 보기 리소스 기술 지원 구매 및 라이선싱 Atlassian 커뮤니티 기술 자료 Marketplace 내 계정 지원 티켓 생성하기 자세히 알아보기 파트너 교육 및 인증 설명서 개발자 리소스 Enterprise 서비스 모든 리소스 보기 Copyright © 2025 Atlassian 개인정보보호 이용 약관 소유권 정보 언어 선택 Deutsch English Español Français Italiano 한국어 Nederlands 日本語 Polski Português русский 中文	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/fy24-report/index.html#cisco_c	FY24 Purpose Report - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close Hello, how can I help? About Purpose Power an Inclusive Future for All FY24 Purpose Report Celebrating 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Overview Explore the Report Looking Ahead FY24 Purpose Report 40 Years of Impact We built the digital highways that have become the backbone for modern communication. Now, we’re harnessing the power of connection to build a better future for people, communities, and the planet. For 40 years, connection has been core to Cisco’s identity. At Cisco, we’re proud of how our products and services bridge gaps, enable collaboration, and drive sustainability in meaningful ways. We prove every day that running a successful business with a commitment to do good makes progress possible. Letter from the CEO Our Timeline of Impact 1984 Cisco Systems, Inc Developed by Sandy Lerner and Leonard Bosack with a team of colleagues at Stanford University, the multiprotocol router connected disparate computer networks, leading to Cisco’s founding. 1997 Cisco Networking Academy Launched to educate high school and college students on how to design, install, and maintain computer networks. 1997 Cisco Foundation Established to support programs that leverage the Internet to help people in need and drive positive change. 1998 Cisco Community Investment Report Published report detailing Cisco’s philanthropic and community investment eﬀorts. 1999 NetAid Harnessed the Internet to raise US$830K to end global poverty. By live-streaming celebrated musicians across three locations, NetAid garnered 2.4M views across 80 countries and set a record for the largest Internet broadcast event for a single day. 2000 Habitat for Humanity Provided funding and volunteer support to build homes and wire houses for Internet access. 2005 Corporate Citizenship Report Made a formal commitment to transparency and accountability by publishing details on Cisco's Corporate Social Responsibility eﬀorts. 2005 Crisis Response Deployed communications equipment to assist emergency personnel in the aftermath of Hurricane Katrina and formed a dedicated emergency response team. 2006 Goal to Reduce Emissions Set our first greenhouse gas emissions reduction goal. 2011 Veterans Program Established program to help transitioning U.S. military veterans and families find employment and educational opportunities. 2011 On-Campus Solar Energy Installed first solar energy project at Cisco's Research Triangle Park campus. 2012 Global Human Rights Policy Formalized our commitment to respect human rights for all people. 2014 Talos Formed to provide accurate, rapid, and actionable threat intelligence for Cisco customers, products, and services. 2015 Country Digital Acceleration Launched program to collaborate with government and private sector leaders in building sustainable, secure, and inclusive communities. 2016 White House Equal Pay Pledge Became a founding signer of the White House Equal Pay Pledge and committed to paying employees fairly and equitably. 2018 Homelessness Grant Announced a five-year, US$50M commitment to end homelessness in Santa Clara County. 2019 Global Citizen Announced a partnership with Global Citizen to power the movement to end extreme poverty. 2020 Community Enablement Commitment Transformed longstanding advocacy for community enablement into a global, company-wide commitment. 2020 COVID-19 Response Introduced $2.5B financing program to support customers and keep businesses running; donated US$50M in cash and personal protective equipment (PPE) to organizations supporting vulnerable citizens; and provided funding to deploy COVID-19-related technology solutions. 2021 Cisco Foundation Climate Commitment Committed US$100M over the next 10 years to address climate change. 2021 Net Zero Announced a goal to reach net-zero greenhouse gas emissions across our value chain by 2040. 2022 Responsible AI Launched our Responsible AI (RAI) Principles and RAI Framework to formalize our commitment to build safe and trustworthy AI. 2023 One Billion Lives Exceeded our goal—ahead of schedule—to positively impact one billion people globally from FY16-FY23 through Cisco Networking Academy and social innovation grants. 2024 40 Communities Announcing our next big ambition: over the next 10 years, we plan to engage, support, and invest in 40 communities around the globe. Previous Next Explore this year’s report View all Power Power We build and deliver technology that powers the world’s connectivity, whether that’s between computers, throughout communities, or across continents. And we do so with the highest standards of ethics and integrity in mind—for ourselves, for our customers and partners, and for their users. That’s the power, and importance, of connection. Explore the Power section 0 1600 Active, completed, or in-pipeline projects across 50 countries through Country Digital Acceleration 0 B 800 billion Security events observed each day by Cisco Talos, protecting the world against cyber threats 0 27 Languages available for stakeholders to use Cisco’s EthicsLine 0 % 99.9% Of employees completed our annual Code of Business Conduct certification Featured Stories Connectivity in the Amazon The first floating Networking Academy provides free WiFi within a 30-meter radius, offers IT training, and promotes digital inclusion for communities. Responsible Mineral Sourcing We joined the Initiative for Responsible Mining Assurance to support the visibility, accountability, and inclusion of rightsholders as decision-makers at all levels of the mineral supply chain. Show more Inclusive Inclusive We’re recognized as one of the world’s best workplaces, and we have an unrelenting focus on employee wellbeing, benefits, giving, and inclusion. We strive to create the best possible employee experience, because we know our greatest asset is our people. Explore the Inclusive section 0 % 86% Employees participated in community impact efforts through donations, volunteering, and more 0 720,000 Volunteer hours logged by employees Launched BridgeIT, a Cisco Enterprise Chat AI, to intelligently guide employees and help them work faster, safer, and smarter 0 31 Inclusive Communities with 335 chapters across 77 countries Featured Stories Native American Network Cisco’s Native American Network deployed 18 sovereign broadband access points on Zuni tribal lands in New Mexico to help close the digital divide. Wellbeing in Technology The "WellNest" on Webex pilot supports physical, mental, social, and financial wellbeing through an intuitive AI-powered platform. Show more Future Future Cisco has been committed to reducing its environmental impact for nearly two decades, but there’s more to be done as we work toward a regenerative future. Our sustainability strategy, the Plan for Possible, guides us as we build our products, accelerate clean energy access, support suppliers’ reduced environmental impacts, and foster climate resiliency in communities. Explore the Future section 0 % 96% Of electricity for Cisco facilities came from renewable sources 0 % 73% Reduction in Scope 1 and 2 emissions FY25 goal: 90% reduction 0 % 75% Of the waste generated at our facilities was diverted from landfill globally 0 % 96% Of new Cisco products and packaging incorporate Circular Design Principles FY25 goal: 100% meeting circular design criteria Featured Stories Connected Conservation Cisco donated Cisco Meraki routers to African Parks to help them harness reliable Internet technology. Cisco Refresh We provide a second life to our products and reduce waste through the Cisco Refresh program, and we provide discounts to businesses joining the circular economy. Show more For All For All Through our technology, our people, and our broader networks, we create solutions that help address the world’s most critical challenges—from the AI skills gap to social inequities to environmental crises. We continue to show up to create a better future for all, by all, with all stakeholders who share our vision. Explore the For All section 0 M 24 million Cisco Networking Academy students since 1997 0 + 30 plus Natural disasters and humanitarian crises responded to by Cisco Crisis Response $ 0 M USD 35 million US dollars Approved to fund climate solutions through the Cisco Foundation since FY21 $ 0 B USD 1.5 billion US dollars In Title IV Federal Funding that we helped preserve for HBCUs since FY20 Featured Stories Women Rock-IT Women Rock-IT celebrated 10 years, and their annual International Girls in ICT day programming reached 1.2 million on social media. Impact in India Cisco partners with NGOs and government agencies in India to create technology-based solutions that support critical human needs. View all Looking Ahead To celebrate our 40th year, we’re looking ahead to our future with Splunk and how we can drive even greater success for our customers, partners, employees, and communities together. There’s no better way to celebrate our anniversary than setting our next big ambition to propel us into the future. Learn more from Chief People, Policy & Purpose Officer Fran Katsoudas on what’s next for Cisco’s Purpose work. Explore “Looking Ahead” 40 Years of Impact Power an Inclusive Future for All Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. 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https://ai.google.dev/api/batch-mode?hl=tr	Batch Mode  \|  Gemini API  \|  Google AI for Developers Ana içeriğe atla / Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Gemini API API anahtarı alma Tarif Defteri Topluluk Ana Sayfa Gemini API Geri bildirim gönderin Batch Mode Gemini API, tek bir çağrıda birden fazla isteği işlemenize olanak tanıyan toplu işlem modunu destekler. Daha fazla ayrıntı için Toplu mod kılavuzu 'na bakın. Yöntem: models.batchGenerateContent Uç nokta Yol parametreleri İstek metni JSON gösterimi JSON gösterimi JSON gösterimi JSON gösterimi Yanıt metni Yetkilendirme kapsamları GenerateContentRequest JSON gösterimi Toplu işleme için bir grup models.generateContent isteğini sıraya alır. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{batch.model=models /}:batchGenerateContent Yol parametreleri batch.model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . models/{model} biçimindedir. İstek içeriği İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar batch.name string Yalnızca çıkış. Tanımlayıcı. Toplu işlemin kaynak adı. Biçim: batches/{batch_id} . batch.displayName string Zorunlu. Bu toplu işlemin kullanıcı tanımlı adı. batch.inputConfig object ( InputConfig ) Zorunlu. Toplu işleme işlemlerinin gerçekleştirildiği örneklerin giriş yapılandırması. batch.output object ( GenerateContentBatchOutput ) Yalnızca çıkış. Toplu isteğin çıkışı. batch.createTime string ( Timestamp format) Yalnızca çıkış. Toplu işlemin oluşturulduğu zaman. Oluşturulan çıkışın her zaman Z ile normalleştirildiği ve 0, 3, 6 veya 9 kesirli basamak kullandığı RFC 3339'u kullanır. "Z" dışındaki zaman farkları da kabul edilir. Örnekler: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" veya "2014-10-02T15:01:23+05:30" . batch.endTime string ( Timestamp format) Yalnızca çıkış. Toplu işleme işleminin tamamlandığı zaman. Oluşturulan çıkışın her zaman Z ile normalleştirildiği ve 0, 3, 6 veya 9 kesirli basamak kullandığı RFC 3339'u kullanır. "Z" dışındaki zaman farkları da kabul edilir. Örnekler: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" veya "2014-10-02T15:01:23+05:30" . batch.updateTime string ( Timestamp format) Yalnızca çıkış. Toplu işlemin son güncellenme zamanı. Oluşturulan çıkışın her zaman Z ile normalleştirildiği ve 0, 3, 6 veya 9 kesirli basamak kullandığı RFC 3339'u kullanır. "Z" dışındaki zaman farkları da kabul edilir. Örnekler: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" veya "2014-10-02T15:01:23+05:30" . batch.batchStats object ( BatchStats ) Yalnızca çıkış. Toplu işlemle ilgili istatistikler. batch.state enum ( BatchState ) Yalnızca çıkış. Toplu işlemin durumu. batch.priority string ( int64 format) İsteğe bağlıdır. Toplu işlemin önceliği. Daha yüksek öncelik değerine sahip toplu işlemler, daha düşük öncelik değerine sahip toplu işlemlerden önce işlenir. Negatif değerlere izin verilir. Varsayılan değer 0'dır. Yanıt gövdesi Başarılıysa yanıt metni, Operation öğesinin bir örneğini içerir. GenerateContentRequest Modelden tamamlama oluşturma isteği. Alanlar model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . contents[] object ( Content ) Zorunlu. Modelle yapılan mevcut görüşmenin içeriği. Tek dönüşlü sorgular için bu tek bir örnektir. Chat gibi çok turlu sorgular için bu, sohbet geçmişini ve son isteği içeren yinelenen bir alandır. tools[] object ( Tool ) İsteğe bağlıdır. Bir sonraki yanıtı oluşturmak için Tools kullanılabilecek Model listesi. Tool , sistemin Model 'nin bilgisi ve kapsamı dışında bir işlem veya işlemler dizisi gerçekleştirmek için harici sistemlerle etkileşime girmesini sağlayan bir kod parçasıdır. Desteklenen Tool 'ler Function ve codeExecution 'dir. Daha fazla bilgi için İşlev çağırma ve Kod yürütme kılavuzlarına bakın. toolConfig object ( ToolConfig ) İsteğe bağlıdır. İstek içinde belirtilen herhangi bir Tool için araç yapılandırması. Kullanım örneği için İşlev çağırma kılavuzuna bakın. safetySettings[] object ( SafetySetting ) İsteğe bağlıdır. Güvenli olmayan içeriğin engellenmesi için benzersiz SafetySetting örneklerinin listesi. Bu kısıtlama GenerateContentRequest.contents ve GenerateContentResponse.candidates üzerinde uygulanacak. Her SafetyCategory türü için birden fazla ayar olmamalıdır. API, bu ayarlarda belirlenen eşikleri karşılamayan tüm içerikleri ve yanıtları engeller. Bu liste, safetySettings içinde belirtilen her SafetyCategory için varsayılan ayarları geçersiz kılar. Listede belirli bir SafetyCategory için SafetySetting yoksa API, bu kategori için varsayılan güvenlik ayarını kullanır. HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY zarar kategorileri desteklenir. Kullanılabilir güvenlik ayarları hakkında ayrıntılı bilgi için kılavuza bakın. Ayrıca, yapay zeka uygulamalarınıza güvenlikle ilgili hususları nasıl dahil edeceğinizi öğrenmek için Güvenlik rehberine de göz atın. systemInstruction object ( Content ) İsteğe bağlıdır. Geliştirici tarafından belirlenen sistem talimatları . Şu anda yalnızca metin. generationConfig object ( GenerationConfig ) İsteğe bağlıdır. Model oluşturma ve çıkışlarla ilgili yapılandırma seçenekleri. cachedContent string İsteğe bağlıdır. Tahmini sunmak için bağlam olarak kullanılacak önbelleğe alınan içeriğin adı. Biçim: cachedContents/{cachedContent} JSON gösterimi { "model" : string , "contents" : [ { object ( Content ) } ] , "tools" : [ { object ( Tool ) } ] , "toolConfig" : { object ( ToolConfig ) } , "safetySettings" : [ { object ( SafetySetting ) } ] , "systemInstruction" : { object ( Content ) } , "generationConfig" : { object ( GenerationConfig ) } , "cachedContent" : string } GenerateContentBatch JSON gösterimi InputConfig JSON gösterimi InlinedRequests JSON gösterimi InlinedRequest JSON gösterimi GenerateContentBatchOutput JSON gösterimi InlinedResponses JSON gösterimi InlinedResponse JSON gösterimi BatchStats JSON gösterimi BatchState Bir grup GenerateContent isteğini temsil eden kaynak. Alanlar model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . name string Yalnızca çıkış. Tanımlayıcı. Toplu işlemin kaynak adı. Biçim: batches/{batch_id} . displayName string Zorunlu. Bu toplu işlemin kullanıcı tanımlı adı. inputConfig object ( InputConfig ) Zorunlu. Toplu işleme işlemlerinin gerçekleştirildiği örneklerin giriş yapılandırması. output object ( GenerateContentBatchOutput ) Yalnızca çıkış. Toplu isteğin çıkışı. createTime string ( Timestamp format) Yalnızca çıkış. Toplu işlemin oluşturulduğu zaman. Oluşturulan çıkışın her zaman Z ile normalleştirildiği ve 0, 3, 6 veya 9 kesirli basamak kullandığı RFC 3339'u kullanır. "Z" dışındaki zaman farkları da kabul edilir. Örnekler: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" veya "2014-10-02T15:01:23+05:30" . endTime string ( Timestamp format) Yalnızca çıkış. Toplu işleme işleminin tamamlandığı zaman. Oluşturulan çıkışın her zaman Z ile normalleştirildiği ve 0, 3, 6 veya 9 kesirli basamak kullandığı RFC 3339'u kullanır. "Z" dışındaki zaman farkları da kabul edilir. Örnekler: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" veya "2014-10-02T15:01:23+05:30" . updateTime string ( Timestamp format) Yalnızca çıkış. Toplu işlemin son güncellenme zamanı. Oluşturulan çıkışın her zaman Z ile normalleştirildiği ve 0, 3, 6 veya 9 kesirli basamak kullandığı RFC 3339'u kullanır. "Z" dışındaki zaman farkları da kabul edilir. Örnekler: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" veya "2014-10-02T15:01:23+05:30" . batchStats object ( BatchStats ) Yalnızca çıkış. Toplu işlemle ilgili istatistikler. state enum ( BatchState ) Yalnızca çıkış. Toplu işlemin durumu. priority string ( int64 format) İsteğe bağlıdır. Toplu işlemin önceliği. Daha yüksek öncelik değerine sahip toplu işlemler, daha düşük öncelik değerine sahip toplu işlemlerden önce işlenir. Negatif değerlere izin verilir. Varsayılan değer 0'dır. JSON gösterimi { "model" : string , "name" : string , "displayName" : string , "inputConfig" : { object ( InputConfig ) } , "output" : { object ( GenerateContentBatchOutput ) } , "createTime" : string , "endTime" : string , "updateTime" : string , "batchStats" : { object ( BatchStats ) } , "state" : enum ( BatchState ) , "priority" : string } InputConfig Toplu istek için girişi yapılandırır. Alanlar source Union type Zorunlu. Girişin kaynağı. source aşağıdakilerden yalnızca biri olabilir: fileName string Giriş isteklerini içeren File öğesinin adı. requests object ( InlinedRequests ) Toplu işlemde işlenecek istekler. JSON gösterimi { // source "fileName" : string , "requests" : { object ( InlinedRequests ) } // Union type } InlinedRequests Toplu oluşturma isteğinin bir parçası olarak sağlanırsa toplu işlemde işlenecek istekler. Alanlar requests[] object ( InlinedRequest ) Zorunlu. Toplu işlemde işlenecek istekler. JSON gösterimi { "requests" : [ { object ( InlinedRequest ) } ] } InlinedRequest Toplu işlemde işlenecek istek. Alanlar request object ( GenerateContentRequest ) Zorunlu. Toplu işlemde işlenecek istek. metadata object ( Struct format) İsteğe bağlıdır. İstekle ilişkilendirilecek meta veriler. JSON gösterimi { "request" : { object ( GenerateContentRequest ) } , "metadata" : { object } } GenerateContentBatchOutput Toplu isteğin çıktısı. Bu, BatchGenerateContentResponse veya GenerateContentBatch.output alanında döndürülür. Alanlar output Union type Toplu isteğin çıkışı. output aşağıdakilerden yalnızca biri olabilir: responsesFile string Yalnızca çıkış. Yanıtları içeren dosyanın dosya kimliği. Dosya, her satırda tek bir yanıt içeren bir JSONL dosyası olur. Yanıtlar, JSON olarak biçimlendirilmiş GenerateContentResponse mesajlarıdır. Yanıtlar, giriş istekleriyle aynı sırada yazılır. inlinedResponses object ( InlinedResponses ) Yalnızca çıkış. Toplu işteki isteklere verilen yanıtlar. Toplu işlem, satır içi istekler kullanılarak oluşturulduğunda döndürülür. Yanıtlar, giriş istekleriyle aynı sırada yer alır. JSON gösterimi { // output "responsesFile" : string , "inlinedResponses" : { object ( InlinedResponses ) } // Union type } InlinedResponses Toplu işteki isteklere verilen yanıtlar. Alanlar inlinedResponses[] object ( InlinedResponse ) Yalnızca çıkış. Toplu işteki isteklere verilen yanıtlar. JSON gösterimi { "inlinedResponses" : [ { object ( InlinedResponse ) } ] } InlinedResponse Toplu işlemdeki tek bir isteğe verilen yanıt. Alanlar metadata object ( Struct format) Yalnızca çıkış. İstekle ilişkili meta veriler. output Union type İsteğin çıktısı. output aşağıdakilerden yalnızca biri olabilir: error object ( Status ) Yalnızca çıkış. İstek işlenirken karşılaşılan hata. response object ( GenerateContentResponse ) Yalnızca çıkış. İsteğe verilen yanıt. JSON gösterimi { "metadata" : { object } , // output "error" : { object ( Status ) } , "response" : { object ( GenerateContentResponse ) } // Union type } BatchStats Toplu işlemle ilgili istatistikler. Alanlar requestCount string ( int64 format) Yalnızca çıkış. Toplu işlemdeki istek sayısı. successfulRequestCount string ( int64 format) Yalnızca çıkış. Başarıyla işlenen istek sayısı. failedRequestCount string ( int64 format) Yalnızca çıkış. İşlenemeyen isteklerin sayısı. pendingRequestCount string ( int64 format) Yalnızca çıkış. Hâlâ işlenmeyi bekleyen istek sayısı. JSON gösterimi { "requestCount" : string , "successfulRequestCount" : string , "failedRequestCount" : string , "pendingRequestCount" : string } BatchState Grubun durumu. Sıralamalar BATCH_STATE_UNSPECIFIED Toplu işlem durumu belirtilmemiş. BATCH_STATE_PENDING Hizmet, toplu işlemi çalıştırmaya hazırlanıyor. BATCH_STATE_RUNNING Toplu işlem devam ediyor. BATCH_STATE_SUCCEEDED Toplu işlem başarıyla tamamlandı. BATCH_STATE_FAILED Toplu işlem başarısız oldu. BATCH_STATE_CANCELLED Toplu işlem iptal edildi. BATCH_STATE_EXPIRED Toplu işlemin süresi doldu. REST Kaynağı: batches Kaynak: İşlem JSON gösterimi Yöntemler Kaynak: İşlem Bu kaynak, bir ağ API çağrısının sonucu olan uzun süreli bir işlemi temsil eder. Alanlar name string Sunucu tarafından atanan ad. Yalnızca bu adı ilk kez sağlayan hizmet kapsamında benzersizdir. Varsayılan HTTP eşlemesini kullanıyorsanız name değeri, operations/{unique_id} ile biten bir kaynak adı olmalıdır. metadata object İşlemle ilişkilendirilen, hizmete özgü meta veriler. Genellikle ilerleme bilgilerini ve oluşturma zamanı gibi ortak meta verileri içerir. Bazı hizmetler bu tür meta verileri sağlamayabilir. Uzun süreli bir işlemi döndüren tüm yöntemler, varsa meta veri türünü belirtmelidir. Herhangi türde alanlar içeren bir nesne. Ek bir "@type" alanı, türü tanımlayan bir URI içerir. Örnek: { "id": 1234, "@type": "types.example.com/standard/id" } . done boolean Değer false olması işlemin devam ettiği anlamına gelir. Değer true olduğunda işlem tamamlanmış olup error veya response kullanılabilir. result Union type İşlem sonucu. error veya geçerli bir response olabilir. done == false ise error öğesi de response öğesi de ayarlanmaz. done == true ise error veya response öğelerinden yalnızca biri ayarlanabilir. Bazı hizmetler sonuç vermeyebilir. result aşağıdakilerden yalnızca biri olabilir: error object ( Status ) İşlem başarısız olduğunda veya iptal edildiğinde sistemin verdiği hata bilgisi. response object İşlem başarılı olduğunda sistemin verdiği normal yanıt. Orijinal yöntem başarılı olduğunda veri döndürmüyorsa (ör. Delete ) yanıt google.protobuf.Empty olur. Orijinal yöntem standart Get / Create / Update ise yanıt kaynak olmalıdır. Diğer yöntemler için yanıtın türü XxxResponse olmalıdır. Burada Xxx , orijinal yöntem adıdır. Örneğin, orijinal yöntem adı TakeSnapshot() ise tahmin edilen yanıt türü TakeSnapshotResponse olur. Herhangi türde alanlar içeren bir nesne. Ek bir "@type" alanı, türü tanımlayan bir URI içerir. Örnek: { "id": 1234, "@type": "types.example.com/standard/id" } . JSON gösterimi { "name" : string , "metadata" : { "@type" : string , field1 : ... , ... } , "done" : boolean , // result "error" : { object ( Status ) } , "response" : { "@type" : string , field1 : ... , ... } // Union type } Yöntem: batches.get Uç nokta Yol parametreleri İstek metni Yanıt metni Yetkilendirme kapsamları Uzun süreli bir işlemin en son durumunu bildirir. İstemciler bu yöntemi kullanarak API hizmetinin önerdiği aralıklarla işlem sonucunu sorgulayabilir. Uç nokta get https: / /generativelanguage.googleapis.com /v1beta /{name=batches /} Yol parametreleri name string İşlem kaynağının adı. batches/{batches} biçimindedir. İstek metni İstek metni boş olmalıdır. Yanıt metni Başarılıysa yanıt metni, Operation öğesinin bir örneğini içerir. Yöntem: batches.list Uç nokta Yol parametreleri Sorgu parametreleri İstek metni Yanıt metni Yetkilendirme kapsamları İstekte belirtilen filtreyle eşleşen işlemleri listeler. Sunucu bu yöntemi desteklemiyorsa UNIMPLEMENTED döndürür. Uç nokta get https: / /generativelanguage.googleapis.com /v1beta /{name=batches} Yol parametreleri name string İşlemin üst kaynağının adı. batches biçimindedir. Sorgu parametreleri filter string Standart liste filtresi. pageSize integer Standart liste sayfa boyutu. pageToken string Standart liste sayfası jetonu. İstek içeriği İstek metni boş olmalıdır. Yanıt metni Başarılıysa yanıt metni, ListOperationsResponse öğesinin bir örneğini içerir. Yöntem: batches.cancel Uç nokta Yol parametreleri İstek metni Yanıt metni Yetkilendirme kapsamları Uzun süren bir işlemde eşzamansız iptal başlatır. Sunucu, işlemi iptal etmek için elinden geleni yapar ancak başarı garanti edilmez. Sunucu bu yöntemi desteklemiyorsa google.rpc.Code.UNIMPLEMENTED döndürür. İstemciler, iptalin başarılı olup olmadığını veya iptale rağmen işlemin tamamlanıp tamamlanmadığını kontrol etmek için Operations.GetOperation veya başka yöntemler kullanabilir. Başarılı iptal işleminden sonra işlem silinmez. Bunun yerine, Operation.error değeri google.rpc.Status.code olan ve Code.CANCELLED ile eşleşen bir 1 işlemine dönüşür. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{name=batches /}:cancel Yol parametreleri name string İptal edilecek işlem kaynağının adı. batches/{batches} biçimindedir. İstek metni İstek metni boş olmalıdır. Yanıt gövdesi Başarılı olursa yanıt gövdesi boş bir JSON nesnesi olur. Yöntem: batches.delete Uç nokta Yol parametreleri İstek metni Yanıt metni Yetkilendirme kapsamları Uzun süreli bir işlemi siler. Bu yöntem, istemcinin artık işlem sonucuyla ilgilenmediğini gösterir. İşlem iptal edilmez. Sunucu bu yöntemi desteklemiyorsa google.rpc.Code.UNIMPLEMENTED döndürür. Uç nokta delete https: / /generativelanguage.googleapis.com /v1beta /{name=batches /} Yol parametreleri name string Silinecek işlem kaynağının adı. batches/{batches} biçimindedir. İstek metni İstek metni boş olmalıdır. Yanıt gövdesi Başarılı olursa yanıt gövdesi boş bir JSON nesnesi olur. Geri bildirim gönderin Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları 'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır. Son güncelleme tarihi: 2025-10-11 UTC. Bize geri bildirimde bulunmak mı istiyorsunuz? [[["Anlaması kolay","easyToUnderstand","thumb-up"],["Sorunumu çözdü","solvedMyProblem","thumb-up"],["Diğer","otherUp","thumb-up"]],[["İhtiyacım olan bilgiler yok","missingTheInformationINeed","thumb-down"],["Çok karmaşık / çok fazla adım var","tooComplicatedTooManySteps","thumb-down"],["Güncel değil","outOfDate","thumb-down"],["Çeviri sorunu","translationIssue","thumb-down"],["Örnek veya kod sorunu","samplesCodeIssue","thumb-down"],["Diğer","otherDown","thumb-down"]],["Son güncelleme tarihi: 2025-10-11 UTC."],[],[]] Şartlar Gizlilik Manage cookies Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://www.notion.com/es/integrations/github	Integraciones de Github \| Conecta tus aplicaciones con Notion Notion Funciones IA de Notion Crea, escribe, automatiza Agentes Gestiona las tareas manuales Búsqueda Enterprise Encuentra respuestas al instante Anotador con IA Escritas a la perfección por la IA Documentos Sencillos y potentes Base de conocimiento Centraliza tus conocimientos Proyectos Gestiona cualquier proyecto Sites Publica lo que quieras sin demoras Primeros pasos Explora casos de uso de la IA Descubre todo lo que la IA de Notion puede hacer Explora Marketplace Plantillas para cada necesidad Conoce las integraciones Conecta tus apps con Notion Descarga Web Clipper Guarda páginas de la web en Notion Prueba la app de escritorio de Notion para disfrutar de una experiencia más rápida Descarga la app Mail Calendar IA Enterprise Precios Explora Equipos Desarrollo y Producto Diseño Marketing TI Tamaño del equipo Start-ups Pymes Enterprise Educación Aprende Centro de ayuda Notion Academy Historias de clientes Blog Comunidad Programas para socios Crea API Plantillas Seguridad Consultores Solicita una demo Inicia sesión Obtén Notion gratis ← Integraciones Github Agregar a Notion Overview GitHub ayuda a las empresas y los equipos de programación con el desarrollo, lanzamiento y mantenimiento de software. Aprovecha el poder Notion con GitHub para conectar tus flujos de trabajo y facilitar que tus equipos trabajen de manera conjunta en un solo lugar. Trae las solicitudes de extracción e incidencias de GitHub directamente a Notion a través de vistas previas de enlaces. Utiliza una base de datos sincronizada para traer repositorios completos de GitHub a Notion como base de datos. Con los filtros, vistas, rollups y relaciones de bases de datos puedes crear vistas personalizadas para cada equipo. Crea una propiedad de Solicitud de extracción de GitHub dentro de tus bases de datos de Notion para habilitar actualizaciones automáticas de tus tareas en Notion. Así, todo el mundo estará en sintonía. How to use Para crear una vista previa de contenido de Github en Notion , pega un enlace de GitHub en Notion y selecciona Pegar como vista previa . También puedes escribir /github en una página de Notion; aparecerá un menú que te permite pegar enlaces directamente. Para sincronizar datos de tu repositorio de GitHub en una base de datos de Notion , copia un enlace de GitHub, pégalo en Notion y selecciona Pegar como base de datos . Aparecerá una nueva base de datos en Notion a la que se habrán agregado automáticamente todas las propiedades de GitHub. Para vincular tus solicitudes de extracción de Github a elementos de tu base de datos de Notion , basta con agregar una nueva propiedad a tu base de datos usando el botón + en la parte superior derecha y seleccionar Solicitudes de extracción de GitHub . La integración actualizará automáticamente el estado de tus tareas en Notion en base al estado de la solicitud de extracción de GitHub. Descubre más sobre la integración de GitHub con Notion Creado por Notion Categoría Desarrollo Funciones Vista previa del enlace Base de datos sincronizada Enlaces de desarrollo Sitio web Términos y privacidad Escribir a soporte técnico Informar de un problema Todas las marcas comerciales de terceros (incluidos logotipos e íconos) a las que se hace referencia en este documento son propiedad de sus respectivos propietarios. A menos que se indique específicamente que fueron creadas por Notion, las integraciones no cuentan con soporte ni mantenimiento por parte de Notion. Los productos o servicios de terceros a los que se conectan las integraciones son aplicaciones que no pertenecen a Notion (de acuerdo con lo definido en el Acuerdo de suscripción principal o en los Términos de uso personal de Notion, según corresponda). Al activar cualquier integración o usar la Galería de integraciones de Notion, aceptas los Términos de uso de la galería de integraciones de Notion . Más integraciones PortalWith Create Client Portal with Notion STR Desk Sync Vacation Rental data with Notion in seconds VECTOR AI Your AI Partner Emon Sync Outlook Emails to Notion Notixel Automate your data flow between Notion and Microsoft Excel. neuforms the most affordable typeform alternative to build forms Español (Latinoamérica) Configuración de cookies © 2026 Notion Labs, Inc. Empresa Conócenos Oportunidades laborales Seguridad Estado Términos de uso y privacidad Tus derechos de privacidad Descargar iOS y Android Mac y Windows Calendario Web Clipper Recursos Centro de ayuda Precios Blog Comunidad Integraciones Plantillas Programas para socios Notion para Enterprise Pequeña empresa Personal Descubre más →	2026-01-13T09:29:50
https://www.notion.com/es-es/product/notion-for-managers	Flujos de trabajo personalizados para gestionar mejor a tu equipo Notion Funciones IA de Notion Crea, escribe y automatiza Agentes Gestiona las tareas manuales Búsqueda Enterprise Encuentra respuestas al instante Anotador con IA Registra a la perfección las notas de tus reuniones Documentos Sencillos y potentes Base de conocimiento Centraliza el conocimiento Proyectos Gestiona cualquier proyecto Sitios Publica lo que quieras en un pispás Primeros pasos Explora casos prácticos de la IA Descubre todo lo que puede hacer la IA de Notion Explora Notion Marketplace Plantillas para todo Descubre las integraciones Conecta tus aplicaciones con Notion Descargar Web Clipper Guarda páginas de la web en Notion Prueba la app de escritorio de Notion para una mejor experiencia Descarga la app Correo Calendario IA Enterprise Precios Explora Equipos Desarrollo y producto Diseño Marketing TI Tamaño del equipo Startups Pymes Empresa Educación Lecciones Centro de ayuda Notion Academy Historias de clientes Blog Comunidad Programas para socios Crear API Plantillas Seguridad Consultores Solicita una demo Inicia sesión Consigue Notion gratis Notion para managers Flujos de trabajo personalizados para gestionar mejor a tu equipo Conecta a todo tu equipo. Notion reúne todo el trabajo en un solo lugar: planes, colaboradores, notas de reunión, proyectos y mucho más. Obtén Notion gratis Solicita una demo 🗺️ Manager's dashboard 🎯 Company goals 📚 Team wiki Con la confianza de Los equipos eficientes mantienen su información accesible Menos preguntas, menos reuniones innecesarias: cuando cada equipo tiene su información reunida en un único lugar y puede encontrar fácilmente las respuestas que busca, todos ahorran tiempo. Obtén Notion gratis Lo tenemos todo en un solo lugar: el organigrama, los OKR (objetivos y resultados clave) y todo lo necesario para entender cómo está organizada la empresa y cómo trabaja en equipo. Ha supuesto un cambio decisivo. William Fong Cofundador y CTO, Boxed Menos correos, reuniones y avisos para estar al día con los proyectos Los managers personalizan Notion para comprobar la información relevante sobre su trabajo de un vistazo, tanto si desean ver un resumen general como si quieren consultar los detalles concretos del proyecto. Obtén Notion gratis No importa si quieres ver un resumen o profundizar en los detalles: puedes encontrar toda la información que necesitas en una sola página de proyecto en Notion. Kip Price Director de Desarrollo, Codecademy Personaliza tus herramientas para adaptarlas de verdad a tu equipo Comienza con una plantilla y modifícala según tus necesidades o crea y escala rápidamente tus propios sistemas. Obtén Notion gratis Notion is the one hub where you can bring everything together, that people from all teams feel comfortable using and adding to every day. Justin Goff Responsable de producto, Duolingo Migra fácilmente y ahórrate horas de trabajo Con nuestros importadores de Confluence, Google Docs, Asana y Trello puedes trasladar todos tus archivos fácilmente y sin preocupaciones. Obtén Notion gratis See how other managers run their teams on Notion Testimonio de cliente Cómo el marco de toma de decisiones de Match Group ayuda a crear productos de primera Testimonio de cliente Mixpanel's engineering roadmap keeps its distributed team biased towards action Un flujo de trabajo para cada equipo Notion no es solo para managers. Es un lugar que reúne todas las funciones y ofrece soluciones personalizadas para cada problema. 🎒 Producto Deja que tu trabajo llegue al mundo más rápidamente con la investigación de usuario y los proyectos multidisciplinares en Notion. Más información 🛠 Ingeniería Envía funciones más rápido con tareas sprint, directrices de código, correcciones de errores y mucho más, todo en un solo lugar. Más información 🎨 Diseño Crea un lenguaje de diseño coherente uniendo recursos, guías y prototipos en Notion. Más información Prueba Notion hoy mismo Comienza gratis y después invita a todo tu equipo. Obtén Notion gratis Eve Warren EveWarren1 Recently got into using @NotionHQ to help break down tasks for myself and have found sharing Notion documents with my team helpful as I struggle with breaking down verbal briefs as dyslexia can mess with my memory. Often tasks can get lost in chat channels. Mathias Meyer roidrage Been working with @NotionHQ over the past couple of weeks as our new knowledge base and collaboration system (and to keep track of my own work and projects too), and it's an utter delight. Highly recommended tool for distributed teams! Shahed Khan santoshpanda Using @NotionHQ to have all meeting agenda, Collab, takeaways & connect back to okrs. Nick Franklin Nick_Franklin Love using @NotionHQ at ChartMogul 😍 they somehow managed to make internal documentation/knowledge-sharing kind of fun and satisfying! Martina Sartor design_byMarti @NotionHQ is becoming the go to tool for planning and organising mine and my team planning. Is useful especially when the team and the clients are spread around the world ;) Im looking into create templates that will help with this! Siqi Chen blader Okay @NotionHQ is dope and I’ve already ported a bunch of stuff from @coda_hq and @gsuite . 👍👍 @Confluence next. For some odd reason I want to describe it like this: @NotionHQ is like @figmadesign but for information. Nina Ramadhan ninanursita is it just me or its just notion >>>>>>>>>> confluence Ross Simmonds TheCoolestCool Here’s how Notion is coming for its competitors: they have an answer for everything. Storing your important docs in Confluence? Use Notion instead. Managing your work via project management? Notion is better. Relying on Google Docs and Evernote for note-taking? Use Notion. Jeff Shek shekkery There are so many countless times my team has run up to each other - DID YOU KNOW NOTION COULD DO THIS?!?! Thank you SO MUCH for rescuing our souls from the deep pits of JIRA soul-sucking creativity hell. @NotionHQ Sara Soueidan SaraSoueidan Wow, @NotionHQ app makes all the other notes, tasks and project organization apps I used look like apps from the cave age. I’m impressed! 🔥 Steven Schmatz schmatzarella @NotionHQ made a 10x improvement in my team's capability to store knowledge online. 🔥 Ben Burns mrbenburns_ OK folks. I don't say this lightly @NotionHQ is incredible. They beat out Dropbox Paper, Google Docs, Evernote, ToDoIst and Trello for me. I can store images, moodboards, host and share kanban boards, save code snippets... Flexible, powerful, intuitive tool. Check it out. Lauren Harcott laurenharcott #⃣ Love a #slack channel - write action items immediately after meeting 📅Always book next meeting 👀Public channels; RIP to DM's 📋My team has adopted @NotionHQ to share OKR's - great to see progress 🤓Be accountable, call out team members and celebrate together #ManagerChats Andrew Conner connerdelights We have Slack for non-persistent things. And email. Anything important is in Notion. David Flatow DaFlatow . @NotionHQ not only solved a problem for me and my team (well organized collaborative documentation/note-taking), but also fundamentally improved and transformed the way we work together. Español (España) Configuración de cookies © 2026 Notion Labs, Inc. Empresa Conócenos Únete a nuestro equipo Seguridad Estado Términos de uso y privacidad Tus derechos de privacidad Descargar iOS y Android Mac y Windows Notion Calendar Web Clipper Recursos Centro de ayuda Precios Blog Comunidad Integraciones Plantillas Programas para socios Notion para Enterprise Pequeña empresa Uso personal Explorar más →	2026-01-13T09:29:50
https://aws.amazon.com/products/storage?sc_ichannel=ha&sc_icampaign=acq_awsblogsb&sc_icontent=storage-resources	Cloud Storage Services on AWS Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Products › Storage Cloud Storage on AWS Reliable, scalable, and secure storage for your data Maximize economic advantages by migrating to AWS Cloud Infrastructure Analyst firm, Enterprise Strategy Group, validated that organizations reduced compute, networking, and storage costs by up to 66% by migrating on-premises workloads to AWS Cloud Infrastructure. Read the report Why Cloud Storage on AWS? Millions of customers use AWS cloud storage services to transform their business, increase agility, reduce costs, and accelerate innovation. Choose from a broad portfolio of storage solutions with deep functionality for storing, accessing, protecting, and analyzing your data. Play Benefits of Cloud Storage on AWS Access the storage you need faster Make resources available in minutes, not weeks. Speed time to market, avoid complex capacity planning, and reduce over-provisioning with just a few clicks. Reduce storage spend Minimize your total cost of ownership (TCO) with managed services that eliminate infrastructure maintenance.  Optimize your storage costs  based on how frequently and quickly you need to access your data. Secure and protect your data Safeguard your data  with unmatched security and storage designed for 99.999999999 (11 9s) of durability and multi Availability Zone resilience. Keep data available to your applications with data resilience provided through options from granular restore to recovery across AWS and on-premises environments. Fuel innovation with new insights Choose from a variety of tools to get more from your data and accelerate new product and service delivery. Run big data analytics, artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), and media processing applications on all your cloud data. Build a data foundation for generative AI Enable generative AI with secure, scalable data lakes, high-performance storage for model training, and integration with AWS data services for generative AI to customize foundation model responses and differentiate applications with your data. AWS re:Invent 2024 Storage sessions on-demand Catch up with storage highlights from re:Invent View the full AWS Storage session playlist Play AWS Storage Services Filter by category Displaying 1-8 (11) Object storage Amazon Simple Storage Service (S3) Object storage with industry-leading scalability, availability, and security for you to store and retrieve any amount of data from anywhere. 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https://aws.amazon.com/blogs/storage/category/post-types/customer-solutions/	Customer Solutions \| AWS Storage Blog Skip to Main Content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account AWS Blogs Home Blogs Editions AWS Storage Blog Category: Customer Solutions Getting started with self-managed Oracle in AWS using Amazon FSx for OpenZFS by Aaron Dailey , Eric Felice , and Yesh Tanamala on 16 DEC 2025 in Advanced (300) , Amazon EC2 , Amazon FSx for OpenZFS , Customer Solutions , Technical How-to Permalink Comments Share Organizations of all sizes run their enterprise applications and databases in the cloud. These organizations may choose to run self-managed databases on Amazon Elastic Compute Cloud (Amazon EC2) rather than using the fully-managed Amazon Relational Database Service (Amazon RDS) due to internal policies, Amazon RDS service maximums, and other reasons. When running self-managed databases in the cloud, there […] Optimize WordPress performance on Amazon EKS with Amazon FSx for OpenZFS by Aaron Dailey , Abhi Karode , Munish Dabra , and Miraj Ranpura on 16 DEC 2025 in Advanced (300) , Amazon Elastic Kubernetes Service , Amazon FSx for OpenZFS , Best Practices , Customer Solutions , Technical How-to Permalink Comments Share As users progress in their cloud journey, they increasingly need robust storage options that integrate natively with containers to help them increase operational efficiency, improve performance, and reduce costs. Our users are finding that using Amazon Elastic Kubernetes Service (Amazon EKS) meets this demand by using the Container Storage Interface (CSI) driver. In this post, […] Building an open warehouse architecture: Supabase’s integration with Amazon S3 Tables by Riccardo Busetti , Andrew (Qingjie) Ren , Ameen Khan , Fabien Gaud , and Pritesh Patel on 15 DEC 2025 in Advanced (300) , Amazon Athena , Amazon EMR , Amazon Redshift , Amazon S3 Tables , Amazon Simple Storage Service (S3) , AWS Key Management Service , Customer Solutions , Open Source Permalink Comments Share As applications scale, developers face a persistent challenge: analytical queries that slow down transactional databases, force them to copy data across multiple proprietary tools, and create disconnected data silos. For the 5 million developers building on Supabase, an open source Postgres development platform, this tension between operational and analytical workloads has become increasingly critical. The […] How TUI modernized their backup strategy with AWS: Driving clarity and scale by Joseph Demetrios , Peter Frodin , Sabith Venkitachalapathy , and Walid Alkassabgy on 26 NOV 2025 in AWS Backup , Customer Solutions , Intermediate (200) , Resilience , Storage Permalink Comments Share TUI, Europe’s leading travel company, operates across 180 holiday destinations with development teams managing diverse Amazon Web Services (AWS) workloads across multiple accounts—from customer-facing applications to internal analytics platforms. The company processes millions of customer transactions daily, necessitating robust systems with reliable data protection and backup capabilities to ensure business continuity. As TUI’s cloud footprint […] Automated cost-effective archiving and on-demand data restoration by Pradip Kumar Pandey and Pratap Nanda on 17 NOV 2025 in Advanced (300) , Amazon Simple Storage Service (S3) , Customer Solutions , Experience-Based Acceleration , Serverless , Storage , Technical How-to Permalink Comments Share Organizations across industries need automated cost-effective archiving and on-demand data restoration solutions to manage explosive data growth driven by digital transformation, regulatory compliance, and operational insights. This data—often stored as unstructured files—is frequently retained for extended periods to meet internal, legal, or analytical requirements. As storage volumes grow into the petabyte range, businesses face a […] Cost-optimized file storage with Amazon FSx for NetApp ONTAP and Komprise by Nick Anderson on 11 NOV 2025 in Advanced (300) , Amazon FSx for NetApp ONTAP , Amazon S3 Glacier , AWS Direct Connect , Best Practices , Customer Solutions , Experience-Based Acceleration , Manufacturing , Migration , Partner solutions Permalink Comments Share As enterprises pursue digital transformation and smart operations, they’re challenged by the limitations of traditional file systems. Machine-generated data from connected systems and automation has pushed legacy storage solutions beyond their capabilities. In manufacturing, healthcare, logistics, financial services, and other industries, organizations need reliable access to data across globally distributed locations. These organizations face rising […] How Zeta Global scales multi-tenant data ingestion with Amazon S3 Tables by Soumil Shah , Varad Ram , Ananth Packkildurai , and Manoj Agarwal on 22 SEP 2025 in Amazon Athena , Amazon EMR , Amazon S3 Tables , Amazon Simple Storage Service (S3) , Customer Solutions , Intermediate (200) Permalink Comments Share Zeta Global is a data-driven marketing technology company that uses consumer insights to empower brands in customer acquisition, growth, and retention. At the core of its operations is the Zeta Marketing Platform, an advanced system that applies sophisticated AI and machine learning (ML) capabilities on proprietary data from over 245 million U.S. consumer profiles. This […] Enforcing organization-wide Amazon S3 bucket-tagging policies by Pavel Rabinovich , Avinash Pala , Reema Bali , Ruby Siddiqui , and Sri Gudavalli on 04 SEP 2025 in Amazon Simple Storage Service (S3) , AWS Cloud Financial Management , Customer Solutions , Enterprise governance and control , Intermediate (200) Permalink Comments Share In today’s complex cloud environments, maintaining consistent resource tagging is a critical challenge faced by organizations of all sizes. Proper resource tagging is essential for cost allocation, security compliance, operational management, and maintaining governance at scale. However, enforcing tagging standards across distributed teams and numerous resources can be difficult, especially when dealing with rapid deployment […] How to size an Amazon FSx for NetApp ONTAP file system by Victor Munoz and Sumaja Kapa on 15 AUG 2025 in Advanced (300) , Amazon FSx , Amazon FSx for NetApp ONTAP , Customer Solutions , Storage , Technical How-to Permalink Comments Share Understanding Amazon FSx for NetApp ONTAP Transitioning your business systems and data to the cloud can seem complex, especially if you are new to cloud file storage services. Whether you are moving from traditional on-premises enterprise storage or just getting started in the cloud, sizing your storage correctly is key to avoiding future issues. The […] How Anuttacon scaled AI-enhanced gaming workloads for “Whispers from the Star” by Andrew (Qingjie) Ren , Ding Xiao , Nathan Winter , Qiang Li , and Qing Xing Liu on 14 AUG 2025 in Amazon Elastic Block Store (Amazon EBS) , Customer Solutions , Games , Intermediate (200) , Storage Permalink Comments Share The gaming industry is undergoing significant growth, with AI-driven interactive experiences setting new standards. Anuttacon, an independent research lab, is committed to developing humanistic general intelligence that enables seamless, real-time interactions across text, voice, visuals, and more. Their mission is to create multimodal AI capable of genuine emotional understanding and expressive communication—technology that both thinks […] ← Older posts Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? 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https://pdimagearchive.org/images/edf11bdd-a8a1-43ef-9bd4-7ce64fed0f2f	‘Taking in the Evening Air’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… Taking in the Evening Air Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 830 x 1200 Higher res available? Download Image Styles Book Illustration Themes Technology The Future Tags flying aircraft bicycles future cities balconies retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://pdimagearchive.org/images/acedb68b-af2e-418e-bd59-ac38df84ea89	‘The Lauterbrunnen Lighthouse’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Lauterbrunnen Lighthouse Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 755 x 1200 Higher res available? Download Image Styles Book Illustration Themes Technology The Future Tags future cliffs sea light towers retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://ai.google.dev/api/models?hl=he	Models  \|  Gemini API  \|  Google AI for Developers דילוג לתוכן הראשי / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 אחזור מפתח API ספר המתכונים קהילה היכנס Docs הפניית API Gemini API Docs הפניית API אחזור מפתח API ספר המתכונים קהילה סקירה כללית גרסאות API יכולות דגמים אנחנו יוצרים תוכן ממשק API פעיל Live Music API Interactions API קודים קבצים Batch API שומר כקובץ שמור הטמעות חיפוש קבצים חיפוש בחנויות קבצים מסמך כל השיטות הוצא משימוש PaLM (הוצא משימוש) הפניות ל-SDK Python Go TypeScript Java C# דף הבית Gemini API הפניית API שליחת משוב Models נקודת הקצה של המודלים מאפשרת לכם ליצור רשימה של המודלים הזמינים באופן פרוגרמטי, ולאחזר מטא-נתונים מורחבים כמו פונקציונליות נתמכת וגודל חלון ההקשר. מידע נוסף על מודלים שיטה: models.get נקודת קצה (endpoint) פרמטרים של נתיב גוף הבקשה גוף התשובה היקפי הרשאה דוגמה לבקשה הרשמה קבלת מידע על Model ספציפי, כמו מספר הגרסה, מגבלות הטוקנים, פרמטרים ומטא-נתונים אחרים. מידע מפורט על המודלים זמין במדריך למודלים של Gemini . נקודת קצה get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} פרמטרים של נתיב name string חובה. שם המשאב של המודל. השם הזה צריך להיות זהה לשם של מודל שמוחזר על ידי השיטה models.list . פורמט: models/{model} הוא מקבל את הצורה models/{model} . גוף הבקשה גוף הבקשה צריך להיות ריק. דוגמה לבקשה Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go קונכייה curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh גוף התשובה אם הפעולה בוצעה ללא שגיאות, גוף התגובה יכיל מופע של Model . שיטה: models.list נקודת קצה (endpoint) פרמטרים של שאילתה גוף הבקשה גוף התשובה ייצוג ב-JSON היקפי הרשאה דוגמה לבקשה רשימה רשימה של Model s שזמינים דרך Gemini API. נקודת קצה get https: / /generativelanguage.googleapis.com /v1beta /models פרמטרים של שאילתה pageSize integer המספר המקסימלי של Models שיוחזרו (לכל דף). אם לא מציינים ערך, יוצגו 50 מודלים בכל דף. השיטה הזו מחזירה לכל היותר 1,000 מודלים לכל דף, גם אם מעבירים ערך גדול יותר של pageSize. pageToken string טוקן של דף שהתקבל מקריאה קודמת של models.list . כדי לאחזר את הדף הבא, צריך להזין את pageToken שמוחזר מבקשה אחת כארגומנט לבקשה הבאה. כשמבצעים חלוקה לעמודים, כל הפרמטרים האחרים שסופקו ל- models.list חייבים להיות זהים לקריאה שסיפקה את הטוקן של הדף. גוף הבקשה גוף הבקשה צריך להיות ריק. דוגמה לבקשה Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go קונכייה curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh גוף התשובה תשובה מ- ListModel שמכילה רשימה עם מספור עמודים של מודלים. אם הפעולה בוצעה ללא שגיאות, גוף התגובה יכיל נתונים במבנה הבא: Fields models[] object ( Model ) המודלים שמוחזרים. nextPageToken string טוקן שאפשר לשלוח כ- pageToken כדי לאחזר את הדף הבא. אם משמיטים את השדה הזה, לא יופיעו דפים נוספים. ייצוג ב-JSON { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } משאב REST: ‏ models Resource: Model ייצוג ב-JSON Methods משאב: מודל מידע על מודל שפה גנרטיבי. Fields name string חובה. שם המשאב של Model . כל הערכים המותרים מפורטים במאמר בנושא וריאציות של מודלים . פורמט: models/{model} עם מוסכמת מתן שמות {model} של: "{baseModelId}-{version}" דוגמאות: models/gemini-1.5-flash-001 baseModelId string חובה. השם של מודל הבסיס, צריך להעביר אותו לבקשת היצירה. דוגמאות: gemini-1.5-flash version string חובה. מספר הגרסה של המודל. הערך הזה מייצג את הגרסה הראשית ( 1.0 או 1.5 ) displayName string השם של המודל בפורמט שקריא לבני אדם. לדוגמה, Gemini 1.5 Flash. השם יכול להכיל עד 128 תווים, והוא יכול לכלול כל תו UTF-8. description string תיאור קצר של המודל. inputTokenLimit integer המספר המקסימלי של טוקנים של קלט שמותר להשתמש בהם במודל הזה. outputTokenLimit integer המספר המקסימלי של טוקנים של פלט שזמין למודל הזה. supportedGenerationMethods[] string שיטות היצירה הנתמכות של המודל. שמות ה-method המתאימים של ה-API מוגדרים כמחרוזות בפורמט Pascal case, כמו generateMessage ו- generateContent . thinking boolean האם המודל תומך בחשיבה. temperature number המדיניות קובעת את מידת הרנדומליות של הפלט. הערכים יכולים לנוע בין [0.0,maxTemperature] , כולל. ערך גבוה יותר יניב תשובות מגוונות יותר, ואילו ערך שקרוב יותר ל- 0.0 בדרך כלל יניב תשובות פחות מפתיעות מהמודל. הערך הזה מציין את ברירת המחדל שבה הקצה העורפי ישתמש בזמן ביצוע הקריאה למודל. maxTemperature number הטמפרטורה המקסימלית שבה המודל יכול להשתמש. topP number דגימת Nucleus . בשיטת הדגימה Nucleus נבחנת קבוצת הטוקנים הקטנה ביותר שסכום ההסתברות שלה הוא לפחות topP . הערך הזה מציין את ברירת המחדל שבה הקצה העורפי ישתמש בזמן ביצוע הקריאה למודל. topK integer לדגימת k המובילים. דגימת k המובילים מתבססת על קבוצת topK האסימונים הסבירים ביותר. הערך הזה מציין את ברירת המחדל שבה הקצה העורפי ישתמש בזמן ביצוע הקריאה למודל. אם הערך ריק, המשמעות היא שהמודל לא משתמש בדגימה של k המובילים, ואי אפשר להשתמש ב- topK כפרמטר יצירה. ייצוג ב-JSON { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } שיטה: models.predict נקודת קצה (endpoint) פרמטרים של נתיב גוף הבקשה ייצוג ב-JSON גוף התשובה ייצוג ב-JSON היקפי הרשאה מבצע בקשת חיזוי. נקודת קצה post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict פרמטרים של נתיב model string חובה. שם המודל לחיזוי. פורמט: name=models/{model} הוא מקבל את הצורה models/{model} . גוף הבקשה גוף הבקשה מכיל נתונים במבנה הבא: Fields instances[] value ( Value format) חובה. המופעים שמשמשים כקלט לקריאת החיזוי. parameters value ( Value format) אופציונלי. הפרמטרים שקובעים את קריאת החיזוי. גוף התשובה הודעת התגובה ל-‎[PredictionService.Predict]‎. אם הפעולה בוצעה ללא שגיאות, גוף התגובה יכיל נתונים במבנה הבא: Fields predictions[] value ( Value format) הפלט של קריאת החיזוי. ייצוג ב-JSON { "predictions" : [ value ] } שיטה: models.predictLongRunning נקודת קצה (endpoint) פרמטרים של נתיב גוף הבקשה ייצוג ב-JSON גוף התשובה היקפי הרשאה זהה ל-models.predict אבל מחזיר LRO. נקודת קצה post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning פרמטרים של נתיב model string חובה. שם המודל לחיזוי. פורמט: name=models/{model} גוף הבקשה גוף הבקשה מכיל נתונים במבנה הבא: Fields instances[] value ( Value format) חובה. המופעים שמשמשים כקלט לקריאת החיזוי. parameters value ( Value format) אופציונלי. הפרמטרים שקובעים את קריאת החיזוי. גוף התשובה אם הפעולה בוצעה ללא שגיאות, גוף התגובה יכיל מופע של Operation . שליחת משוב אלא אם צוין אחרת, התוכן של דף זה הוא ברישיון Creative Commons Attribution 4.0 ודוגמאות הקוד הן ברישיון Apache 2.0 . לפרטים, ניתן לעיין ב מדיניות האתר Google Developers‏ .‏ Java הוא סימן מסחרי רשום של חברת Oracle ו/או של השותפים העצמאיים שלה. עדכון אחרון: 2025-12-16 (שעון UTC). רוצה לתת לנו משוב? [[["התוכן קל להבנה","easyToUnderstand","thumb-up"],["התוכן עזר לי לפתור בעיה","solvedMyProblem","thumb-up"],["סיבה אחרת","otherUp","thumb-up"]],[["חסרים לי מידע או פרטים","missingTheInformationINeed","thumb-down"],["התוכן מורכב מדי או עם יותר מדי שלבים","tooComplicatedTooManySteps","thumb-down"],["התוכן לא עדכני","outOfDate","thumb-down"],["בעיה בתרגום","translationIssue","thumb-down"],["בעיה בדוגמאות/בקוד","samplesCodeIssue","thumb-down"],["סיבה אחרת","otherDown","thumb-down"]],["עדכון אחרון: 2025-12-16 (שעון UTC)."],[],[]] תנאים פרטיות Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://pdimagearchive.org/images/52f33bd5-7c6c-4499-93ff-99eef8052f10	‘A National Park’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… A National Park Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 835 x 1200 Higher res available? Download Image Styles Book Illustration Themes Technology The Future Tags rural future bystanders parks retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/fy24-report/index.html#svg-x	FY24 Purpose Report - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close Hello, how can I help? About Purpose Power an Inclusive Future for All FY24 Purpose Report Celebrating 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Overview Explore the Report Looking Ahead FY24 Purpose Report 40 Years of Impact We built the digital highways that have become the backbone for modern communication. Now, we’re harnessing the power of connection to build a better future for people, communities, and the planet. For 40 years, connection has been core to Cisco’s identity. At Cisco, we’re proud of how our products and services bridge gaps, enable collaboration, and drive sustainability in meaningful ways. We prove every day that running a successful business with a commitment to do good makes progress possible. Letter from the CEO Our Timeline of Impact 1984 Cisco Systems, Inc Developed by Sandy Lerner and Leonard Bosack with a team of colleagues at Stanford University, the multiprotocol router connected disparate computer networks, leading to Cisco’s founding. 1997 Cisco Networking Academy Launched to educate high school and college students on how to design, install, and maintain computer networks. 1997 Cisco Foundation Established to support programs that leverage the Internet to help people in need and drive positive change. 1998 Cisco Community Investment Report Published report detailing Cisco’s philanthropic and community investment eﬀorts. 1999 NetAid Harnessed the Internet to raise US$830K to end global poverty. By live-streaming celebrated musicians across three locations, NetAid garnered 2.4M views across 80 countries and set a record for the largest Internet broadcast event for a single day. 2000 Habitat for Humanity Provided funding and volunteer support to build homes and wire houses for Internet access. 2005 Corporate Citizenship Report Made a formal commitment to transparency and accountability by publishing details on Cisco's Corporate Social Responsibility eﬀorts. 2005 Crisis Response Deployed communications equipment to assist emergency personnel in the aftermath of Hurricane Katrina and formed a dedicated emergency response team. 2006 Goal to Reduce Emissions Set our first greenhouse gas emissions reduction goal. 2011 Veterans Program Established program to help transitioning U.S. military veterans and families find employment and educational opportunities. 2011 On-Campus Solar Energy Installed first solar energy project at Cisco's Research Triangle Park campus. 2012 Global Human Rights Policy Formalized our commitment to respect human rights for all people. 2014 Talos Formed to provide accurate, rapid, and actionable threat intelligence for Cisco customers, products, and services. 2015 Country Digital Acceleration Launched program to collaborate with government and private sector leaders in building sustainable, secure, and inclusive communities. 2016 White House Equal Pay Pledge Became a founding signer of the White House Equal Pay Pledge and committed to paying employees fairly and equitably. 2018 Homelessness Grant Announced a five-year, US$50M commitment to end homelessness in Santa Clara County. 2019 Global Citizen Announced a partnership with Global Citizen to power the movement to end extreme poverty. 2020 Community Enablement Commitment Transformed longstanding advocacy for community enablement into a global, company-wide commitment. 2020 COVID-19 Response Introduced $2.5B financing program to support customers and keep businesses running; donated US$50M in cash and personal protective equipment (PPE) to organizations supporting vulnerable citizens; and provided funding to deploy COVID-19-related technology solutions. 2021 Cisco Foundation Climate Commitment Committed US$100M over the next 10 years to address climate change. 2021 Net Zero Announced a goal to reach net-zero greenhouse gas emissions across our value chain by 2040. 2022 Responsible AI Launched our Responsible AI (RAI) Principles and RAI Framework to formalize our commitment to build safe and trustworthy AI. 2023 One Billion Lives Exceeded our goal—ahead of schedule—to positively impact one billion people globally from FY16-FY23 through Cisco Networking Academy and social innovation grants. 2024 40 Communities Announcing our next big ambition: over the next 10 years, we plan to engage, support, and invest in 40 communities around the globe. Previous Next Explore this year’s report View all Power Power We build and deliver technology that powers the world’s connectivity, whether that’s between computers, throughout communities, or across continents. And we do so with the highest standards of ethics and integrity in mind—for ourselves, for our customers and partners, and for their users. That’s the power, and importance, of connection. Explore the Power section 0 1600 Active, completed, or in-pipeline projects across 50 countries through Country Digital Acceleration 0 B 800 billion Security events observed each day by Cisco Talos, protecting the world against cyber threats 0 27 Languages available for stakeholders to use Cisco’s EthicsLine 0 % 99.9% Of employees completed our annual Code of Business Conduct certification Featured Stories Connectivity in the Amazon The first floating Networking Academy provides free WiFi within a 30-meter radius, offers IT training, and promotes digital inclusion for communities. Responsible Mineral Sourcing We joined the Initiative for Responsible Mining Assurance to support the visibility, accountability, and inclusion of rightsholders as decision-makers at all levels of the mineral supply chain. Show more Inclusive Inclusive We’re recognized as one of the world’s best workplaces, and we have an unrelenting focus on employee wellbeing, benefits, giving, and inclusion. We strive to create the best possible employee experience, because we know our greatest asset is our people. Explore the Inclusive section 0 % 86% Employees participated in community impact efforts through donations, volunteering, and more 0 720,000 Volunteer hours logged by employees Launched BridgeIT, a Cisco Enterprise Chat AI, to intelligently guide employees and help them work faster, safer, and smarter 0 31 Inclusive Communities with 335 chapters across 77 countries Featured Stories Native American Network Cisco’s Native American Network deployed 18 sovereign broadband access points on Zuni tribal lands in New Mexico to help close the digital divide. Wellbeing in Technology The "WellNest" on Webex pilot supports physical, mental, social, and financial wellbeing through an intuitive AI-powered platform. Show more Future Future Cisco has been committed to reducing its environmental impact for nearly two decades, but there’s more to be done as we work toward a regenerative future. Our sustainability strategy, the Plan for Possible, guides us as we build our products, accelerate clean energy access, support suppliers’ reduced environmental impacts, and foster climate resiliency in communities. Explore the Future section 0 % 96% Of electricity for Cisco facilities came from renewable sources 0 % 73% Reduction in Scope 1 and 2 emissions FY25 goal: 90% reduction 0 % 75% Of the waste generated at our facilities was diverted from landfill globally 0 % 96% Of new Cisco products and packaging incorporate Circular Design Principles FY25 goal: 100% meeting circular design criteria Featured Stories Connected Conservation Cisco donated Cisco Meraki routers to African Parks to help them harness reliable Internet technology. Cisco Refresh We provide a second life to our products and reduce waste through the Cisco Refresh program, and we provide discounts to businesses joining the circular economy. Show more For All For All Through our technology, our people, and our broader networks, we create solutions that help address the world’s most critical challenges—from the AI skills gap to social inequities to environmental crises. We continue to show up to create a better future for all, by all, with all stakeholders who share our vision. Explore the For All section 0 M 24 million Cisco Networking Academy students since 1997 0 + 30 plus Natural disasters and humanitarian crises responded to by Cisco Crisis Response $ 0 M USD 35 million US dollars Approved to fund climate solutions through the Cisco Foundation since FY21 $ 0 B USD 1.5 billion US dollars In Title IV Federal Funding that we helped preserve for HBCUs since FY20 Featured Stories Women Rock-IT Women Rock-IT celebrated 10 years, and their annual International Girls in ICT day programming reached 1.2 million on social media. Impact in India Cisco partners with NGOs and government agencies in India to create technology-based solutions that support critical human needs. View all Looking Ahead To celebrate our 40th year, we’re looking ahead to our future with Splunk and how we can drive even greater success for our customers, partners, employees, and communities together. There’s no better way to celebrate our anniversary than setting our next big ambition to propel us into the future. Learn more from Chief People, Policy & Purpose Officer Fran Katsoudas on what’s next for Cisco’s Purpose work. Explore “Looking Ahead” 40 Years of Impact Power an Inclusive Future for All Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. 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https://pdimagearchive.org/images/37954add-0174-4bb9-9041-18358403177c	‘The Engagement Voyage’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Engagement Voyage Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 861 x 1200 Higher res available? Download Image Styles Book Illustration Themes Technology The Future Tags airships clouds future flight cities castles retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://ai.google.dev/gemini-api/docs/api-versions?hl=zh-cn	API 版本说明  \|  Gemini API  \|  Google AI for Developers 跳至主要内容 / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 获取 API 密钥实战宝典社区登录文档 API 参考 Gemini API 文档 API 参考获取 API 密钥实战宝典社区概览 API 版本功能模型生成内容 Live API Live Music API Interactions API 令牌文件 Batch API 缓存 Embeddings 文件搜索文件搜索存储区文档所有方法已弃用 PaLM（已停用） SDK 参考文档 Python Go TypeScript Java C# 首页 Gemini API API 参考发送反馈 API 版本说明我们已更新《服务条款》。本文档简要介绍了 Gemini API 的 v1 版和 v1beta 版之间的区别。 v1 ：API 的稳定版本。在主要版本的生命周期内，稳定版中的功能可获得全面支持。如果存在任何重大变更，则会创建 API 的下一个主要版本，并在合理的时间段后弃用现有版本。可能会在不更改主要版本的情况下向 API 引入非破坏性变更。 v1beta ：此版本包含可能正在开发中的早期功能，可能会有重大变更。此外，我们无法保证 Beta 版中的功能会转移到稳定版中。如果您要求生产环境保持稳定，并且无法承担重大变更带来的风险，则不应在生产环境中使用此版本。功能 v1 v1beta 生成内容 - 仅限文本输入生成内容 - 文本和图片输入生成内容 - 文本输出生成内容 - 多轮对话（聊天）生成内容 - 函数调用生成内容 - 流式传输嵌入内容 - 仅限文本输入生成答案语义检索器 Interactions API - 支持 - 永远不会受支持在 SDK 中配置 API 版本 Gemini API SDK 默认使用 v1beta ，但您可以选择使用其他版本，只需按以下代码示例所示设置 API 版本即可： Python from google import genai client = genai . Client ( http_options = { 'api_version' : 'v1alpha' }) response = client . models . generate_content ( model = 'gemini-2.0-flash' , contents = "Explain how AI works" , ) print ( response . text ) JavaScript import { GoogleGenAI } from "@google/genai" ; const ai = new GoogleGenAI ({ httpOptions : { apiVersion : "v1alpha" }, }); async function main () { const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Explain how AI works" , }); console . log ( response . text ); } await main (); REST curl "https://generativelanguage.googleapis.com/v1/models/gemini-1.5-flash:generateContent" \ -H "x-goog-api-key: $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works."}] }] }' 发送反馈如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。最后更新时间 (UTC)：2025-12-18。需要向我们提供更多信息？ [[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-12-18。"],[],[]] 条款隐私权政策 Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://ai.google.dev/api/models#body.aspect	Models  \|  Gemini API  \|  Google AI for Developers Skip to main content / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 Get API key Cookbook Community Sign in Docs API reference Gemini API Docs API reference Get API key Cookbook Community Overview API versions Capabilities Models Generating content Live API Live Music API Interactions API Tokens Files Batch API Caching Embeddings File search File search stores Document All methods Deprecated PaLM (decomissioned) SDK references Python Go TypeScript Java C# Home Gemini API API reference Send feedback Models The models endpoint provides a way for you to programmatically list the available models, and retrieve extended metadata such as supported functionality and context window sizing. Read more in the Models guide . Method: models.get Endpoint Path parameters Request body Response body Authorization scopes Example request Get Gets information about a specific Model such as its version number, token limits, parameters and other metadata. Refer to the Gemini models guide for detailed model information. Endpoint get https: / /generativelanguage.googleapis.com /v1beta /{name=models /} Path parameters name string Required. The resource name of the model. This name should match a model name returned by the models.list method. Format: models/{model} It takes the form models/{model} . Request body The request body must be empty. Example request Python from google import genai client = genai . Client () model_info = client . models . get ( model = "gemini-2.0-flash" ) print ( model_info ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelInfo , err := client . Models . Get ( ctx , "gemini-2.0-flash" , nil ) if err != nil { log . Fatal ( err ) } fmt . Println ( modelInfo ) models . go Shell curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash?key = $GEMINI_API_KEY models .sh Response body If successful, the response body contains an instance of Model . Method: models.list Endpoint Query parameters Request body Response body JSON representation Authorization scopes Example request List Lists the Model s available through the Gemini API. Endpoint get https: / /generativelanguage.googleapis.com /v1beta /models Query parameters pageSize integer The maximum number of Models to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger pageSize. pageToken string A page token, received from a previous models.list call. Provide the pageToken returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to models.list must match the call that provided the page token. Request body The request body must be empty. Example request Python from google import genai client = genai . Client () print ( "List of models that support generateContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "generateContent" : print ( m . name ) print ( "List of models that support embedContent: \n " ) for m in client . models . list (): for action in m . supported_actions : if action == "embedContent" : print ( m . name ) models . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Retrieve the list of models. models , err := client . Models . List ( ctx , & genai . ListModelsConfig {}) if err != nil { log . Fatal ( err ) } fmt . Println ( "List of models that support generateContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "generateContent" { fmt . Println ( m . Name ) break } } } fmt . Println ( "\nList of models that support embedContent:" ) for _ , m := range models . Items { for _ , action := range m . SupportedActions { if action == "embedContent" { fmt . Println ( m . Name ) break } } } models . go Shell curl https://generativelanguage.googleapis.com/v1beta/models?key = $GEMINI_API_KEY models .sh Response body Response from ListModel containing a paginated list of Models. If successful, the response body contains data with the following structure: Fields models[] object ( Model ) The returned Models. nextPageToken string A token, which can be sent as pageToken to retrieve the next page. If this field is omitted, there are no more pages. JSON representation { "models" : [ { object ( Model ) } ] , "nextPageToken" : string } REST Resource: models Resource: Model JSON representation Methods Resource: Model Information about a Generative Language Model. Fields name string Required. The resource name of the Model . Refer to Model variants for all allowed values. Format: models/{model} with a {model} naming convention of: "{baseModelId}-{version}" Examples: models/gemini-1.5-flash-001 baseModelId string Required. The name of the base model, pass this to the generation request. Examples: gemini-1.5-flash version string Required. The version number of the model. This represents the major version ( 1.0 or 1.5 ) displayName string The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. description string A short description of the model. inputTokenLimit integer Maximum number of input tokens allowed for this model. outputTokenLimit integer Maximum number of output tokens available for this model. supportedGenerationMethods[] string The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as generateMessage and generateContent . thinking boolean Whether the model supports thinking. temperature number Controls the randomness of the output. Values can range over [0.0,maxTemperature] , inclusive. A higher value will produce responses that are more varied, while a value closer to 0.0 will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. maxTemperature number The maximum temperature this model can use. topP number For Nucleus sampling . Nucleus sampling considers the smallest set of tokens whose probability sum is at least topP . This value specifies default to be used by the backend while making the call to the model. topK integer For Top-k sampling. Top-k sampling considers the set of topK most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and topK isn't allowed as a generation parameter. JSON representation { "name" : string , "baseModelId" : string , "version" : string , "displayName" : string , "description" : string , "inputTokenLimit" : integer , "outputTokenLimit" : integer , "supportedGenerationMethods" : [ string ] , "thinking" : boolean , "temperature" : number , "maxTemperature" : number , "topP" : number , "topK" : integer } Method: models.predict Endpoint Path parameters Request body JSON representation Response body JSON representation Authorization scopes Performs a prediction request. Endpoint post https: / /generativelanguage.googleapis.com /v1beta /{model=models /}:predict Path parameters model string Required. The name of the model for prediction. Format: name=models/{model} . It takes the form models/{model} . Request body The request body contains data with the following structure: Fields instances[] value ( Value format) Required. The instances that are the input to the prediction call. parameters value ( Value format) Optional. The parameters that govern the prediction call. Response body Response message for [PredictionService.Predict]. If successful, the response body contains data with the following structure: Fields predictions[] value ( Value format) The outputs of the prediction call. JSON representation { "predictions" : [ value ] } Method: models.predictLongRunning Endpoint Path parameters Request body JSON representation Response body Authorization scopes Same as models.predict but returns an LRO. Endpoint post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:predictLongRunning Path parameters model string Required. The name of the model for prediction. Format: name=models/{model} . Request body The request body contains data with the following structure: Fields instances[] value ( Value format) Required. The instances that are the input to the prediction call. parameters value ( Value format) Optional. The parameters that govern the prediction call. Response body If successful, the response body contains an instance of Operation . Send feedback Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Last updated 2025-10-30 UTC. Need to tell us more? 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https://ai.google.dev/gemini-api/docs/api-versions?hl=he	הסבר על גרסאות API  \|  Gemini API  \|  Google AI for Developers דילוג לתוכן הראשי / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어 אחזור מפתח API ספר המתכונים קהילה היכנס Docs הפניית API Gemini API Docs הפניית API אחזור מפתח API ספר המתכונים קהילה סקירה כללית גרסאות API יכולות דגמים אנחנו יוצרים תוכן ממשק API פעיל Live Music API Interactions API קודים קבצים Batch API שומר כקובץ שמור הטמעות חיפוש קבצים חיפוש בחנויות קבצים מסמך כל השיטות הוצא משימוש PaLM (הוצא משימוש) הפניות ל-SDK Python Go TypeScript Java C# דף הבית Gemini API הפניית API שליחת משוב הסבר על גרסאות API עדכנו את התנאים וההגבלות שלנו. במסמך הזה מפורטת סקירה כללית של ההבדלים בין גרסאות v1 ו- v1beta של Gemini API. ‫ v1 : גרסה יציבה של ה-API. התכונות בגרסה היציבה נתמכות באופן מלא לאורך חיי הגרסה הראשית. אם יש שינויים שעלולים לשבור את התאימות לאחור, ניצור את הגרסה הראשית הבאה של ה-API ונוציא משימוש את הגרסה הקיימת אחרי תקופה סבירה. יכול להיות שיוכנסו שינויים ב-API שלא ישפיעו על התפקוד בלי לשנות את הגרסה הראשית. ‫ v1beta : הגרסה הזו כוללת תכונות מוקדמות שעשויות להיות בשלבי פיתוח, והן כפופות לשינויים שעלולים לגרום לכשלים. בנוסף, אין ערובה לכך שהתכונות בגרסת הבטא יעברו לגרסה היציבה. אם אתם צריכים יציבות בסביבת הייצור שלכם ולא יכולים להסתכן בשינויים שעלולים לשבור את התאימות, אל תשתמשו בגרסה הזו בסביבת הייצור. תכונה v1 v1beta יצירת תוכן – קלט טקסט בלבד יצירת תוכן – קלט של טקסט ותמונה יצירת תוכן – פלט טקסט יצירת תוכן – שיחות עם זיכרון (צ'אט) יצירת תוכן – קריאות לפונקציות יצירת תוכן – סטרימינג הטמעת תוכן – הזנה של טקסט בלבד יצירת תשובה מאחזר סמנטי Interactions API ‫ – נתמך ‫ – לא תהיה תמיכה לעולם הגדרת גרסת API ב-SDK גרסת ברירת המחדל של Gemini API SDK היא v1beta , אבל אפשר להשתמש בגרסאות אחרות על ידי הגדרת גרסת ה-API כמו בדוגמת הקוד הבאה: Python from google import genai client = genai . Client ( http_options = { 'api_version' : 'v1alpha' }) response = client . models . generate_content ( model = 'gemini-2.0-flash' , contents = "Explain how AI works" , ) print ( response . text ) JavaScript import { GoogleGenAI } from "@google/genai" ; const ai = new GoogleGenAI ({ httpOptions : { apiVersion : "v1alpha" }, }); async function main () { const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Explain how AI works" , }); console . log ( response . text ); } await main (); REST curl "https://generativelanguage.googleapis.com/v1/models/gemini-1.5-flash:generateContent" \ -H "x-goog-api-key: $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works."}] }] }' שליחת משוב אלא אם צוין אחרת, התוכן של דף זה הוא ברישיון Creative Commons Attribution 4.0 ודוגמאות הקוד הן ברישיון Apache 2.0 . לפרטים, ניתן לעיין ב מדיניות האתר Google Developers‏ .‏ Java הוא סימן מסחרי רשום של חברת Oracle ו/או של השותפים העצמאיים שלה. עדכון אחרון: 2025-12-18 (שעון UTC). רוצה לתת לנו משוב? [[["התוכן קל להבנה","easyToUnderstand","thumb-up"],["התוכן עזר לי לפתור בעיה","solvedMyProblem","thumb-up"],["סיבה אחרת","otherUp","thumb-up"]],[["חסרים לי מידע או פרטים","missingTheInformationINeed","thumb-down"],["התוכן מורכב מדי או עם יותר מדי שלבים","tooComplicatedTooManySteps","thumb-down"],["התוכן לא עדכני","outOfDate","thumb-down"],["בעיה בתרגום","translationIssue","thumb-down"],["בעיה בדוגמאות/בקוד","samplesCodeIssue","thumb-down"],["סיבה אחרת","otherDown","thumb-down"]],["עדכון אחרון: 2025-12-18 (שעון UTC)."],[],[]] תנאים פרטיות Manage cookies English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体中文 – 繁體日本語 한국어	2026-01-13T09:29:50
https://pdimagearchive.org/images/882b35e8-fcbf-4a7a-83f6-abb8b225009d	‘The Miasmatic War’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Miasmatic War Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 824 x 1200 Higher res available? Download Image Styles Book Illustration Themes Technology The Future Tags machinery warfare future cities locomotives retrofuturism trains The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://www.cisco.com/site/ae/en/solutions/index.html#fw-c-content	Cisco Solutions for Technology, Industry, and Business Needs - Cisco Skip to main content Skip to search Skip to footer Cisco.com Middle East Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Explore Cisco How to buy Partners EN AE Log in Explore Cisco Search MENU CLOSE How to buy Partners Log in EN AE Close Close Close Close Close Cisco solutions Unlock innovation with tailored combinations of products and services to tackle your specific industry, business, or technology challenges. Find a solution Technologies Artificial intelligence Use artificial intelligence and machine learning to enable flexibility and secure, intelligent experiences. Explore Cisco AI Collaboration Connect, communicate, and collaborate securely across distributed teams, wherever they are, with reliable business solutions. Explore collaboration Computing Deploy, manage, and optimize your computing resources across hybrid cloud environments. Explore computing Networking Build a unified network for secure access from anywhere. Explore networking Observability Deliver digital excellence across applications with observability and cloud application security. Explore observability Security Defend against threats and make your network secure and resilient. Explore security Industries Cities and communities Create inclusive, connected, resilient services to power tomorrow's communities and workplaces. Explore cities and communities Education Connect and empower teachers and students, wherever they are. Explore education Financial services Build trust by securely connecting what's now and what's next in financial services. Explore financial services Government Reimagine government operations in your countries and communities through technology. Explore government Healthcare Empower patients, providers, and staff with data-driven care and secure connections. Explore healthcare Manufacturing Maximize agility, security, and efficiency across your operations and workforce. Explore manufacturing Mining Improve the safety, reliability, and efficiency of your mining operations, fleet, and workforce. Explore mining Oil and gas Embark on your digital transformation to boost efficiency and safety. Explore oil and gas Retail Satisfy customers, engage associates, and stay secure in today's challenging environment. Explore retail Smart buildings Combine design, technology, and data to build workspaces for the changing way we work. Explore smart buildings Sports, media, and entertainment Deliver engaging experiences across sports, e-sports, live music, and more. Explore sports, media, and entertainment Transportation Improve the safety, mobility, and operational efficiency of your transportation system. Explore transportation Utilities Boost utility modernization, security, and reliability with smart grid solutions. Explore utilities Service providers Service providers Our solutions are designed to help you, as service providers, achieve your key business goals. Explore service providers Small and medium business Small and medium business Evolve how you operate, collaborate, and secure your small or medium business using solutions that offer reliability, scalability, and security. Explore small and medium business Trials and demos Use trials and demos to explore how our products and technologies can support your business and technical needs. Explore trials and demos Explore more from Cisco Software Explore software that covers a wide range of IT needs—from security, networking, and computing to collaboration and observability. Explore software Services Use services from Cisco and our partners to help you to transform your IT environment and deliver business value. Explore Cisco Services Products Browse the wide range of products we offer to help fulfill your IT requirements. Explore products Show more Hello, how can I help? Start your transformation journey Connect with Cisco We're here to help you make informed decisions every step of the way. Contact Cisco Contact a Cisco partner Find a partner with the expertise, resources, and commitment to help you succeed. Find a partner Show more Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Statement Cookies Trademarks Supply Chain Transparency Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:50
https://pdimagearchive.org/images/5b86a64c-5930-4355-af0c-c03f4cb59966	‘The Examination for a Doctorate in Military Science’ by Albert Robida from La vie électrique (1890) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection The Future Imagined in Albert Robida’s La vie électrique (1890) Who participated in the first video date? A good couple for candidacy in this regard are Georges Lorris and Estelle Lacombe, who meet via “téléphonoscope” in Albert Robida’s 1890 novel Le Vingtième siècle: la vie électrique in which he imagines “the electric life” of the future. Adding a visual component to two recent technologies, the telephone (1876) and the phonograph (1877), this device lets scattered families in the year 1956 reunite around a virtual dinner table. For the lovebirds Lorris and Lacombe, the téléphonoscope facilitates their unapproved liaison in an immunologically fraught world. (And, for those without a beau, it also offers a service akin to on-demand streaming.) Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Examination for a Doctorate in Military Science Artist Date 1890 From La vie électrique Source Internet Archive / The Getty More From Internet Archive 3257 images on PDIA The Getty 654 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. See their general rights page We offer this info as guidance only Image Size 1400 x 930 Download Image Styles Book Illustration Themes Technology The Future Tags experiments military uniforms future cities science retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://blogs.cisco.com/author/edwardparadise	--> Ed Paradise Cisco Blogs Cisco Blogs Search Cisco Thought Leadership Products & Services Industries Partners & Customer Success For the Tech Expert Countries & Regions Cisco.com Back Cisco Thought Leadership Executive Platform High Tech Policy Innovation Our Corporate Purpose We Are Cisco Back Products & Services Artificial Intelligence - AI Collaboration Customer Experience (CX) Data Center Industrial IoT Networking Security Small Business SP360: Service Provider Related Product Blog Sites Cisco Meraki Blog Innovation Cisco ThousandEyes Blog Cisco Umbrella Blog Splunk Blogs Webex Blog Back Industries All Industries Education Energy - Oil & Gas, Mining and Utilities Financial Services Government Healthcare Manufacturing Retail & Hospitality Sports, Media & Entertainment Transportation Back Partners & Customer Success Cisco Insider Voices Partners Back For the Tech Expert Cisco on Cisco Developer Learn with Cisco Related Blog Sites Back Country & Regions AMERICAS Network APJC Network EMEA Network Austria Belgium - Dutch Belgium - French Brazil Canada - English Canada - French Finland France Germany Greece India Italy Japan Korea Latin America Netherlands Norway Poland Portugal Romania Spain Switzerland Technology Blog - English Switzerland - French Switzerland - German Turkey UK & Ireland Search Search Voice Search is currently unavailable Powered by Google Web Speech API We didn't hear that. Try again. When autocomplete results are available use up and down arrows to review and enter to select Downloads Certifications Design Guides Training Community Careers Skip to content Cisco Blogs / Ed Paradise --> Ed Paradise Cisco RTP Site Executive and Vice President of Engineering Ed Paradise is Vice President of Engineering for the Security and Trust Organization. He is also the Site Executive for Cisco’s Research Triangle Park Site. As Vice President of Engineering for the Security & Trust Organization, Mr. Paradise leads the engineering and product marketing teams that focus on developing trustworthy systems by developing new tools, processes and technologies that further enhance the security of Cisco product portfolios. This includes work with all engineering groups to ensure secure development processes, compliance to security standards and implementing security modules and technologies to minimize threat within Cisco’s products. Mr. Paradise joined Cisco in April 1993 as an Engineering Manager for CIP technology. He has held various leadership positions in Cisco’s engineering organization including Vice President / General Manager of the Mobile Wireless Group and Vice President / General Manager of the IP Communication Business Unit. In July 2008, he was appointed Vice President for Quality and Site Executive for Cisco's North American Connected Sites. In September 2009 he also assumed the position of VP of Development for GGSG. In July 2011, he took on the role of RTP Site Executive, a position he held previously from 2002 to 2009. Ed is a Trustee, first appointed by NC Governor Beverly Perdue and then reappointed by NC Governor Pat McCrory, of the Wake Technical Community College. Ed serves on the Boards of Directors of Made in Durham, the Advisory Board of Habitat for Humanity of Orange County and Triangle Family Services, and is the past chair of the Regional Transportation Alliance. Mr. Paradise holds a Master’s of Science degree in Electrical Engineering from Syracuse University and a Bachelor’s of Science degree in Electrical Engineering from the University of Hartford. Articles December 22, 2015 4 CORPORATE SOCIAL RESPONSIBILITY Ed Paradise Cisco’s RTP Employees Give Big to Local Charities 2 min read Cisco is a great company to work for - with an even bigger heart. It is a privilege to work alongside great people who give of their time, talent, and... Tags Be the Bridge Bridge To Possible Cisco CSR Cisco Foundation Corporate Social Responsibility (CSR) employee volunteer September 10, 2015 1 CORPORATE SOCIAL RESPONSIBILITY Ed Paradise Robots Invade Cisco RTP Campus this Weekend 2 min read The Cisco Research Triangle Park (RTP), North Carolina campus, normally quiet over the weekend, will be alive and buzzing with activity this Saturday, September 12, as hundreds of students, robots, coaches, and volunteers gather for a day of STEM (science, technology, engineering, and mathematics) learning. For the second year, Cisco RTP is hosting the FIRST […] Tags Cisco CSR Corporate Social Responsibility (CSR) stem STEM mentoring December 16, 2014 HIGH TECH POLICY Ed Paradise Congresswoman Renee Ellmers, Cisco Volunteers Help the Hungry at Durham Food Bank 2 min read As a company with deep roots in the North Carolina community, Cisco will today present a $463,000 check to the Food Bank of Central & Eastern North Carolina. This contribution is part of the Cisco’s 12th Annual Global Hunger Relief Campaign and reflects donations from more than 600 employees to the Food Bank, as well […] September 30, 2014 HIGH TECH POLICY Ed Paradise Cisco Announces $20,000 Grant  for Girl Scouts’ GIRLS GO TECH Program 2 min read On behalf of Cisco, I’m pleased to announce that our company has awarded the Girls Scouts – North Carolina Coastal Pines a $20,000 community impact grant to help girls from underserved communities attend its award-winning GIRLS GO TECH program. Every year, the GIRLS GO TECH program helps 350 North Carolina girls participate in science camp […] May 16, 2014 SECURITY Ed Paradise New Standards May Reduce Heartburn Caused by the Next Heartbleed 2 min read Ed Paradise, Vice President of Engineering for Cisco’s Threat Response, Intelligence and Development Group Much has been made of the industry-wide Heartbleed vulnerability and its potential exploitation. Cisco was among the first companies to release a customer Security Advisory when the vulnerability became public, and is now one of many offering mitigation advice. Those dealing […] Tags Cisco PSIRT Cisco Security Heartbleed OpenSSL psirt April 14, 2014 SECURITY Ed Paradise Building in Security from the Ground Up with The Cisco Secure Development Lifecycle 1 min read At Cisco, security runs through everything that we do. It is our commitment to deliver verifiable, trustworthy network architectures built on secure software and secure hardware, backed by prudent supply chain security practices. That’s why Cisco created the Cisco Secure Development Lifecycle (Cisco SDL) to ensure that security is central through the entire product development […] Tags cisco sdl Cybersecurity supply chain trustworthy systems CONNECT WITH US Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © 2026 Cisco Systems, Inc.	2026-01-13T09:29:50
https://pdimagearchive.org/images/bf073eeb-d1ac-49d4-af4c-02a94e932316/	‘Mr. Glaisher insensible at the height of seven miles.’ by Émile-Antoine Bayard, Charles Laplante from Travels in the Air (1871) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View By James Glaisher, Camille Flammarion, W. De Fonvielle, and Gaston Tissandier Featured on PDR in the collection Vertiginous Accounts: Travels in the Air (1871 edition) Expedition accounts of aeronauts bravely venturing into the heavens on hot-air balloons. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artists in the archive… Mr. Glaisher insensible at the height of seven miles. Artist Date 1871 From Travels in the Air Source Internet Archive / Harold B. Lee Library at Brigham Young University More From Internet Archive 3257 images on PDIA Harold B. Lee Library at Brigham Young University 86 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights No Additional Rights No associated rights statement on Internet Archive. However, source confirmed by email no additional rights. We offer this info as guidance only Buy a Print Available in size petite Exceptional quality, from $32 including delivery Archival inks on high grade art paper Framed option with solid wood and ready to hang Image Size 1764 x 2637 Download Image Styles Book Illustration Woodcut Themes Technology Travel & Exploration Tags baskets falling hot air balloons clouds pigeons sky aerial The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://pdimagearchive.org/images/8af381c0-b938-4716-8918-ff5a8c445ba6	‘The Author Exploiting His Own Works ’ by Albert Robida from “The End of Books”, Scribner's Magazine (1894) \| Public Domain Image Archive Public Domain Image Archive from About Sources Buy Prints Donate or Browse by artist century style theme tag all Select an Option Artist Century Style Theme Tag All Browse by… Artist Century Style Theme Tag All Change View Catalog View Infinite View Shuffle View Featured on PDR in the collection Octave Uzanne’s “The End of Books” (1894) The end of books has been declared many times. Over a century before the invention of the e-reader and the meteoric rise of the audiobook and podcast, ardent French bibliophile Octave Uzanne (1851–1931) wrote a story, inspired by rapid advances in phonographic technology, imagining how printed text might disappear. Read More on The Public Domain Review … Also appearing in the collection… Other works by the artist in the archive… The Author Exploiting His Own Works Artist Date 1894 From “The End of Books”, Scribner's Magazine Source Internet Archive / University of Toronto Libraries More From Internet Archive 3257 images on PDIA University of Toronto Libraries 430 images on PDIA Underlying Rights Public Domain Worldwide Digital Rights Unclear No associated rights statement on Internet Archive We offer this info as guidance only Image Size 644 x 1136 Higher res available? Download Image Themes Technology The Future Tags pedestrians authors books buildings inventions retrofuturism The Public Domain Image Archive is run by The Public Domain Review , a project registered in the UK as a Community Interest Company (#11386184), a category of company which exists primarily to benefit a community or with a view to pursuing a social purpose, with all profits having to be used for this purpose. We rely on donations from readers. Please consider supporting the project . About Sources Prints for sale Donate Email contact: [email protected] What is the Public Domain? Rights Labelling Reusing Images Privacy Policy Returns and Refunds Policy Terms and Conditions Subscribe to Our Newsletter X Bluesky	2026-01-13T09:29:50
https://www.cisco.com/site/us/en/about/purpose/fy24-report/index.html#fw-c-header__button--search	FY24 Purpose Report - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close Hello, how can I help? About Purpose Power an Inclusive Future for All FY24 Purpose Report Celebrating 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Overview Explore the Report Looking Ahead FY24 Purpose Report 40 Years of Impact We built the digital highways that have become the backbone for modern communication. Now, we’re harnessing the power of connection to build a better future for people, communities, and the planet. For 40 years, connection has been core to Cisco’s identity. At Cisco, we’re proud of how our products and services bridge gaps, enable collaboration, and drive sustainability in meaningful ways. We prove every day that running a successful business with a commitment to do good makes progress possible. Letter from the CEO Our Timeline of Impact 1984 Cisco Systems, Inc Developed by Sandy Lerner and Leonard Bosack with a team of colleagues at Stanford University, the multiprotocol router connected disparate computer networks, leading to Cisco’s founding. 1997 Cisco Networking Academy Launched to educate high school and college students on how to design, install, and maintain computer networks. 1997 Cisco Foundation Established to support programs that leverage the Internet to help people in need and drive positive change. 1998 Cisco Community Investment Report Published report detailing Cisco’s philanthropic and community investment eﬀorts. 1999 NetAid Harnessed the Internet to raise US$830K to end global poverty. By live-streaming celebrated musicians across three locations, NetAid garnered 2.4M views across 80 countries and set a record for the largest Internet broadcast event for a single day. 2000 Habitat for Humanity Provided funding and volunteer support to build homes and wire houses for Internet access. 2005 Corporate Citizenship Report Made a formal commitment to transparency and accountability by publishing details on Cisco's Corporate Social Responsibility eﬀorts. 2005 Crisis Response Deployed communications equipment to assist emergency personnel in the aftermath of Hurricane Katrina and formed a dedicated emergency response team. 2006 Goal to Reduce Emissions Set our first greenhouse gas emissions reduction goal. 2011 Veterans Program Established program to help transitioning U.S. military veterans and families find employment and educational opportunities. 2011 On-Campus Solar Energy Installed first solar energy project at Cisco's Research Triangle Park campus. 2012 Global Human Rights Policy Formalized our commitment to respect human rights for all people. 2014 Talos Formed to provide accurate, rapid, and actionable threat intelligence for Cisco customers, products, and services. 2015 Country Digital Acceleration Launched program to collaborate with government and private sector leaders in building sustainable, secure, and inclusive communities. 2016 White House Equal Pay Pledge Became a founding signer of the White House Equal Pay Pledge and committed to paying employees fairly and equitably. 2018 Homelessness Grant Announced a five-year, US$50M commitment to end homelessness in Santa Clara County. 2019 Global Citizen Announced a partnership with Global Citizen to power the movement to end extreme poverty. 2020 Community Enablement Commitment Transformed longstanding advocacy for community enablement into a global, company-wide commitment. 2020 COVID-19 Response Introduced $2.5B financing program to support customers and keep businesses running; donated US$50M in cash and personal protective equipment (PPE) to organizations supporting vulnerable citizens; and provided funding to deploy COVID-19-related technology solutions. 2021 Cisco Foundation Climate Commitment Committed US$100M over the next 10 years to address climate change. 2021 Net Zero Announced a goal to reach net-zero greenhouse gas emissions across our value chain by 2040. 2022 Responsible AI Launched our Responsible AI (RAI) Principles and RAI Framework to formalize our commitment to build safe and trustworthy AI. 2023 One Billion Lives Exceeded our goal—ahead of schedule—to positively impact one billion people globally from FY16-FY23 through Cisco Networking Academy and social innovation grants. 2024 40 Communities Announcing our next big ambition: over the next 10 years, we plan to engage, support, and invest in 40 communities around the globe. Previous Next Explore this year’s report View all Power Power We build and deliver technology that powers the world’s connectivity, whether that’s between computers, throughout communities, or across continents. And we do so with the highest standards of ethics and integrity in mind—for ourselves, for our customers and partners, and for their users. That’s the power, and importance, of connection. Explore the Power section 0 1600 Active, completed, or in-pipeline projects across 50 countries through Country Digital Acceleration 0 B 800 billion Security events observed each day by Cisco Talos, protecting the world against cyber threats 0 27 Languages available for stakeholders to use Cisco’s EthicsLine 0 % 99.9% Of employees completed our annual Code of Business Conduct certification Featured Stories Connectivity in the Amazon The first floating Networking Academy provides free WiFi within a 30-meter radius, offers IT training, and promotes digital inclusion for communities. Responsible Mineral Sourcing We joined the Initiative for Responsible Mining Assurance to support the visibility, accountability, and inclusion of rightsholders as decision-makers at all levels of the mineral supply chain. Show more Inclusive Inclusive We’re recognized as one of the world’s best workplaces, and we have an unrelenting focus on employee wellbeing, benefits, giving, and inclusion. We strive to create the best possible employee experience, because we know our greatest asset is our people. Explore the Inclusive section 0 % 86% Employees participated in community impact efforts through donations, volunteering, and more 0 720,000 Volunteer hours logged by employees Launched BridgeIT, a Cisco Enterprise Chat AI, to intelligently guide employees and help them work faster, safer, and smarter 0 31 Inclusive Communities with 335 chapters across 77 countries Featured Stories Native American Network Cisco’s Native American Network deployed 18 sovereign broadband access points on Zuni tribal lands in New Mexico to help close the digital divide. Wellbeing in Technology The "WellNest" on Webex pilot supports physical, mental, social, and financial wellbeing through an intuitive AI-powered platform. Show more Future Future Cisco has been committed to reducing its environmental impact for nearly two decades, but there’s more to be done as we work toward a regenerative future. Our sustainability strategy, the Plan for Possible, guides us as we build our products, accelerate clean energy access, support suppliers’ reduced environmental impacts, and foster climate resiliency in communities. Explore the Future section 0 % 96% Of electricity for Cisco facilities came from renewable sources 0 % 73% Reduction in Scope 1 and 2 emissions FY25 goal: 90% reduction 0 % 75% Of the waste generated at our facilities was diverted from landfill globally 0 % 96% Of new Cisco products and packaging incorporate Circular Design Principles FY25 goal: 100% meeting circular design criteria Featured Stories Connected Conservation Cisco donated Cisco Meraki routers to African Parks to help them harness reliable Internet technology. Cisco Refresh We provide a second life to our products and reduce waste through the Cisco Refresh program, and we provide discounts to businesses joining the circular economy. Show more For All For All Through our technology, our people, and our broader networks, we create solutions that help address the world’s most critical challenges—from the AI skills gap to social inequities to environmental crises. We continue to show up to create a better future for all, by all, with all stakeholders who share our vision. Explore the For All section 0 M 24 million Cisco Networking Academy students since 1997 0 + 30 plus Natural disasters and humanitarian crises responded to by Cisco Crisis Response $ 0 M USD 35 million US dollars Approved to fund climate solutions through the Cisco Foundation since FY21 $ 0 B USD 1.5 billion US dollars In Title IV Federal Funding that we helped preserve for HBCUs since FY20 Featured Stories Women Rock-IT Women Rock-IT celebrated 10 years, and their annual International Girls in ICT day programming reached 1.2 million on social media. Impact in India Cisco partners with NGOs and government agencies in India to create technology-based solutions that support critical human needs. View all Looking Ahead To celebrate our 40th year, we’re looking ahead to our future with Splunk and how we can drive even greater success for our customers, partners, employees, and communities together. There’s no better way to celebrate our anniversary than setting our next big ambition to propel us into the future. Learn more from Chief People, Policy & Purpose Officer Fran Katsoudas on what’s next for Cisco’s Purpose work. Explore “Looking Ahead” 40 Years of Impact Power an Inclusive Future for All Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Purpose Reporting Hub Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc.	2026-01-13T09:29:50

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