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... | "The Case for Co-Designing Model Architectures with Hardware"
This is a long overdue paper that we have started discussing back when training BLOOM-176.
Basically this paper tells you how to design your model's dimensions for an optimal training throughput.
Fantastic!
Yours truly contributed the SwiGLU sect... | {
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@vikhyatk (especially the last answer 😝😝😝).
Open multi-modal models have gone a long way!
Model: https://huggingface.co/vikhyatk/moondream1 | {
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—
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Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model
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Experimental results demonstrate the superiority of InternLM-XComposer2 based on InternLM2-7B in producing high-quality long-text multi-modal cont... | {
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This is the first paper that actually studies the impact of AI on bioweapons from an operational perspective and looks at the big question: is AI any... | {
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Details:
⬆ Uploading Models to the Hub with `save_to_hub`.
⬇ Downloading Models from the... | {
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"lang": nu... | 🔥 New LLM leaderboard on the hub: an LLM Hallucination Leaderboard!
Led by @pminervini , it evaluates the propensity of models to *hallucinate*, either on factuality (= say false things) or faithfulness (= ignore user instructions). This is becoming an increasingly important avenue of research, as more and more peo... | {
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1. https://huggingface.co/Qwen/Qwen-72B
2. https://huggingface.co/01-ai/Yi-34B/tree/main
3. https://huggingface.co/inte... | {
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"raw"... | 🔎 DPO hyperparameter search update!
In my previous post (https://huggingface.co/posts/BramVanroy/633544255876795), I indicated how despite high reward accuracies and low losses, my model would sometimes just output repeating random tokens (`/*****/`). There were some useful brainstorms in that thread. I think the d... | {
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Authors introduce LLMCheckup, a conversational interface connecting an LLM to several interpretability tools (feature attribution methods... | {
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... | Presenting: SimpleMath
Recently we uploaded on the hub our LATEST and most powerful version of SimpleMath SFT dataset.
Today we are happy to present SimpleMath DPO Pairs, improving further mathematical capabilities on LLM's.
Our first results shows clear improvements on GSM8k, MATHQA, ARC, TQA, MMLU and BBH. Fee... | {
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"raw": "Are you working with users and would like to let them edit a text containing highlights? Check out my new Gradio component ",
"href": null... | Are you working with users and would like to let them edit a text containing highlights? Check out my new Gradio component `HighlightedTextbox`! 🤗
The component can be installed with `pip install gradio_highlightedtextbox` and used seamlessly with other native components in Gradio interfaces. It supports texts with... | {
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"resou... | 👋hi there folks !
check out this Chest X-Ray model from AIMIStanford : https://huggingface.co/spaces/Tonic/CheXRay
thanks to @lunarflu for kicking me a bit to get the examples in there !
would be great to get even more examples and even more downstream functions , so contributions are very welcome, or if you... | {
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"... | Thrilled to share some of our recent work in the field of Multimodal Large Language Models (MLLMs).
1️⃣ A Survey on Multimodal Reasoning 📚
Are you curious about the reasoning abilities of MLLMs? In our latest survey, we delve into the world of multimodal reasoning. We comprehensively review existing evaluation pr... | {
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... | 🔥 New LLM leaderboard on the hub: an LLM Safety Leaderboard!
It evaluates LLM safety, such as bias and toxicity, PII, and robustness, and is powered by DecodingTrust (outstanding paper at Neurips!) 🚀
https://huggingface.co/spaces/AI-Secure/llm-trustworthy-leaderboard
It's great to see such initiatives emerge, ... | {
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"... | Gradio 4.16 introduces a new flow: you can hide/show Tabs or make them interactive/non-interactive.
Really nice for multi-step machine learning ademos ⚡️
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"resource": ... | Hello everyone,
This is my first post! I have also decided to release a dataset that I have been keeping private for a while now. I’ve kept it private because I’m not sure if it is actually good or not. I would greatly appreciate it if someone could fine-tune some larger models and evaluate the dataset. Named Hercules... | {
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Excited to see this dataset release in French by @Pclanglais @carbonbasedLLM @anastasiastasenko:
https://huggingface.co/datasets/PleIAs/French-PD-Newspapers
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"resourc... | Diffuse to Choose
Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All
paper page: https://huggingface.co/papers/2401.13795
Diffuse to Choose (DTC) allows users to virtually place any e-commerce item in any setting, ensuring detailed, semantically coherent blending with realist... | {
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... | Hi everyone,
For my first post, I'm announcing a big release (in multiple ways): probably the largest open corpus in French to date, with 85 billion words in the public domain.
The dataset has been prepared in collaboration with Benoît de Courson and Benjamin Azoulay from Gallicagram (https://shiny.ens-paris-saclay.f... | {
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Here is how to delete all old revisions and only keeping `main` in a few quick steps and no tedious manual editing.
In terminal A:
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Now your users can upload multiple images as input to your AI application and view them in a slick gallery!
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"href": n... | ✨ Excited to release `gradio` 4.16. New features include:
🐻❄️ Native support for Polars Dataframe
🖼️ Gallery component can be used as an input
⚡ Much faster streaming for low-latency chatbots
📄 Auto generated docs for custom components
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https://huggingface.co/blog/gcp-partnership
https://finance.yahoo.com/video/google-hugging-face-alliance-spur-173016882.html
https://www.theverge.com/2024/1/25/24050445/google-cloud-hugging-face-ai-developer-access
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You can try it out directly here :
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just :
```bash
pip install whisperspeech
```
to get started and check out my demo to do multilingual text to speech including making voice prints using `whisperspeech`reverse engineering of whisper here : https://hugg... | {
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This edition: METEOR, Seeing the roads through the trees 🌴, A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection & Globe230k dataset
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"... | Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
paper page: https://huggingface.co/papers/2401.13627
introduce SUPIR (Scaling-UP Image Restoration), a groundbreaking image restoration method that harnesses generative prior and the power of model scaling up. Lev... | {
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Well, yes, if the models are somewhat compatible. Here is an experiment I did. I wanted to merge two of the best performing models: https://huggingface.co/mlabonne/NeuralBeagle14-7B and https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v4
Here is my recipe:
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A Space-Time Diffusion Model for Video Generation
paper page: https://huggingface.co/papers/2401.12945
Demonstrate state-of-the-art text-to-video generation results, and show that our design easily facilitates a wide range of content creation tasks and video editing applications, including image-to-vid... | {
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I love to use libraries in which you can customize a lot of things. Chromadb is my choice of db if it comes to store embeddings. Te cool feature is that you can define your own embeddings function which can be called on every chromadb collection initialisation or creation.... | {
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"resou... | 👋 Hi there folks,
I launched my first competition !
Goal : Use AI to beat the Math Olympics within the set time
Basically we're looking for adventurous teams and individuals to make a common submission to the AI Math Olympics by the MLCommons.
Althought the ultimately there can only be one winner and th... | {
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... | 🏅 New top model on the GAIA benchmark!
Called FRIDAY, it's a mysterious new autonomous agent, which got quite good performances on both the public validation set *and* the private test set.
It notably passed 10 points for the val and 5 points for the test set on our hardest questions (level 3): they require to ta... | {
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This survey summarizes recent works in interpretability research, focusing mainly on pre-trained Transformer-based LMs. The authors categorize current... | {
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Auto-reload is one of the coolest (and maybe underrated) features of gradio in my opinion. It automatically detects changes in your python app file and hot swaps your backend and frontend without restarting the server. I may be biased, but that's a way nicer expe... | {
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"hre... | 🕵️ Looking for DPO experts!
I have a dataset that is gpt-4-turbo as chosen and a lower performing model as rejected. The objective should therefore be fairly easy because the two are easy to discern. As a consequence, the model achieves very low losses (0.021 train; 0.013 validation) and high reward accuracies (0.9... | {
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"user... | ✅New paper to ensure valid LLM output with SOTA LLMs like GPT4 by mixing it with OSS LLMs
Paper: arxiv.org/abs/2401.09967
Great paper showing how strong proprietary AI like #GPT4 can be paired with #OSS LLM to ensure LLM output validity, e.g. valid JSON.
Many devs complain that #LLMs cannot be reliably used i... | {
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paper page: https://huggingface.co/papers/2401.11944
As the capabilities of large multimodal models (LMMs) continue to advance, evaluating the performance of LMMs emerges as an increasing need. Additionally, there is an even larger gap i... | {
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"... | 🔍 Today's pick in Interpretability & Analysis of LMs: Universal Neurons in GPT2 Language Models by @wesg @thorsley @luminolblue T.R. Kheirkhah Q. Sun, @willhath @NeelNanda D. Bertsimas
This work investigates the universality of individual neurons across GPT2 models trained from different initial random seeds, start... | {
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I'm ecstatic to announce Flutter SDK for HuggingFace Inference APIs. The project is open-source and can be found at https://github.com/shivance/huggingface.dart . I have also created a sample Flutter App that does language translation using HuggingFace's Helsinki-NLP/opus-mt-ru-en" model. Below is the v... | {
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... | 𝗛𝗼𝘄 𝘄𝗲 𝗺𝗮𝗱𝗲 𝗚𝗿𝗮𝗱𝗶𝗼 𝗳𝗮𝘀𝘁𝗲𝗿 𝗯𝘆... 𝘀𝗹𝗼𝘄𝗶𝗻𝗴 𝗶𝘁 𝗱𝗼𝘄𝗻!
About a month ago, @oobabooga (who built the popular text generation webui) reported an interesting issue to the Gradio team. After upgrading to Gradio 4, @oobabooga noticed that chatbots that streamed very quickly had a lag before ... | {
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... | Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
paper page: https://huggingface.co/papers/2401.10891
demo: https://huggingface.co/spaces/LiheYoung/Depth-Anything
Depth Anything is trained on 1.5M labeled images and 62M+ unlabeled images jointly, providing the most capable Monocular Depth Estim... | {
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... | GPU Poor POV: Dont be Afraid :D
Sometimes we dont want to do something because of low self esteem,
I ofter hear 'its to hard for me','i am not an expert','i do not know how to do it', etc. These words are never the truth, we should not be afraid and try to build something because there is no additive value witho... | {
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This work systematically examines the impact of methodological details in activation patching, a popular technique with causal guarantees to quantify ... | {
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Automatic Korean translation is integrated. In the newspaper, "KO" links appear, and it will bring you to the translated version of full paper. This is done with the following workflow.
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... | GPU Poor POV: My storytelling choices of the week
Its end of the week, I decided to summarize my observations in community based LLMs and mention few models in specific area which are very interesting and has capability to create some insightful stories despite of its relatively lightweight form.
I personally did... | {
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"raw": "I've prepared a Google Colab notebook which allows you to play with interpolating between different people using IP-Ad... | I've prepared a Google Colab notebook which allows you to play with interpolating between different people using IP-Adapter SDXL Face-ID Plus.
```
#Prepare a list t of num_of_results values between 0 and 1
t_space = torch.linspace(0, 1, num_of_results)
for t in tqdm(t_space):
mix_factor = t.item()
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"r... | 🌳 Model Family Tree
Merging models has become a powerful way to compress information and build powerful models for cheap. Right now, the process is still quite experimental: which models to merge? which parameters should I use? We have some intuition but no principled approach.
I made a little tool to make thing... | {
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... | GPU Poor POV: Low Hanging Fruits
Sometimes we had to work with different language than English (what a surprise!) and it can be problematic, because as you may know many algorithms are mainly developed in English.
I was involved in building RAG in Polish language. At first, we need an proper embeddings for Polis... | {
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... | Explaining the 👑 of zero-shot open-vocabulary object detection: OWLv2 🦉
OWLv2 is scaled version of a model called OWL-ViT, so let's take a look at that first. 📝
OWLViT is an open vocabulary object detector, meaning, it can detect objects it didn't explicitly see during the training. 👀
What's cool is that it can ... | {
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... | First post!
Very cool feature. | {
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"url": nul... | 🔍 Today's pick in Interpretability & Analysis of LMs: Can Large Language Models Explain Themselves? by @andreasmadsen Sarath Chandar & @sivareddyg
LLMs can provide wrong but convincing explanations for their behavior, and this might lead to ill-placed confidence in their predictions. This study uses self-consistenc... | {
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... | Self-Rewarding Language Models
paper page: https://huggingface.co/papers/2401.10020
Fine-tuning Llama 2 70B on three iterations of our approach yields a model that outperforms many existing systems on the AlpacaEval 2.0 leaderboard, including Claude 2, Gemini Pro, and GPT-4 0613
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... | Last week, we released 🤗 Transformers.js v2.14, which added support for SAM (Segment Anything Model).
This means you can now generate high-quality segmentation masks for objects in a scene, directly in your browser! 🤯
Demo (+ source code): https://huggingface.co/spaces/Xenova/segment-anything-web
Model: https:... | {
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"resou... | Posting about a very underrated model that tops paperswithcode across different segmentation benchmarks: OneFormer 👑
OneFormer is a "truly universal" model for semantic, instance and panoptic segmentation tasks ⚔️
What makes is truly universal is that it's a single model that is trained only once and can be used ... | {
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paper page: https://huggingface.co/papers/2401.09417
Recently the state space models (SSMs) with efficient hardware-aware designs, i.e., Mamba, have shown great potential for long sequence modeling. Building efficient and ... | {
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"raw": "Most upvoted papers of 2023 on HF. What do you think are going to be the most promi... | Most upvoted papers of 2023 on HF. What do you think are going to be the most prominent research topics in AI for 2024 (also, don't forget to add your papers to the hub this year!).
From: https://huggingface.co/spaces/hysts/daily-papers | {
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"raw": "💥 Today's pick in Interpretability & Analysis of LMs: 🩺 Patchscopes: A Unifying Framework for Inspecting Hidden... | 💥 Today's pick in Interpretability & Analysis of LMs: 🩺 Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models by @asmadotgh, @codevan, @1wheel, @iislucas & @mega
Patchscopes is a generalized framework for verbalizing information contained in LM representations. This is achieved... | {
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"raw"... | ✌🏼Two new models dropped today 👇🏽
1) 👩🏾💻 𝐃𝐞𝐜𝐢𝐂𝐨𝐝𝐞𝐫-𝟔𝐁
👉🏽 Supports 𝟖 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: C, C# C++, GO, Rust, Python, Java, and Javascript.
👉🏽 Released under the 𝐀𝐩𝐚𝐜𝐡𝐞 𝟐.𝟎 𝐥𝐢𝐜𝐞𝐧𝐬𝐞
🥊 𝐏𝐮𝐧𝐜𝐡𝐞𝐬 𝐚𝐛𝐨𝐯𝐞 𝐢𝐭𝐬 𝐰𝐞𝐢𝐠𝐡𝐭 𝐜𝐥𝐚𝐬𝐬 𝐨𝐧 𝐇𝐮𝐦𝐚𝐧𝐄𝐯𝐚𝐥: Beats... | {
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... | 𝐄𝐦𝐛𝐫𝐚𝐜𝐞𝐝 𝐛𝐲 𝐇𝐮𝐠𝐠𝐢𝐧𝐠 𝐅𝐚𝐜𝐞: 𝐭𝐡𝐞 𝐈𝐧𝐬𝐢𝐝𝐞 𝐒𝐭𝐨𝐫𝐲 𝐨𝐟 𝐎𝐮𝐫 𝐒𝐭𝐚𝐫𝐭𝐮𝐩’𝐬 𝐀𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧
In late 2021, our team of five engineers, scattered around the globe, signed the papers to shut down our startup, Gradio. For many founders, this would have been a moment of sadness or e... | {
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Monarch Mixer is a new architecture to enable long context BERT for large corpus and can be fine-tuned for large context retrieval.
Quite interesting and important as BERT is still the most used LLM in production for "old school" tasks like classification, N... | {
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paper page: https://huggingface.co/papers/2401.08541
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"raw": "Up to 3x faster LLM generation with no extra resources/requirements - ngram speculation has landed in 🤗 transformers! 🏎️💨",
"href": nu... | Up to 3x faster LLM generation with no extra resources/requirements - ngram speculation has landed in 🤗 transformers! 🏎️💨
All you need to do is to add `prompt_lookup_num_tokens=10` to your `generate` call, and you'll get faster LLMs 🔥
How does it work? 🤔
Start with assisted generation, where a smaller m... | {
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TL;DR: Watch the tutorial here: https://www.youtube.com/watch?v=uWP6UjDeZvY
Key Steps:
1. Vehicle Detection: Before we jump into speed estimation, we begin by detecting moving vehicles. I demonstrate this using YOLOv8, deployed through the Inference pip packag... | {
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https://huggingface.co/spaces/open-llm-leaderboard/comparator
Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready ... | {
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I made a trending repo space https://huggingface.co/spaces/cfahlgren1/trending-repos where it shows:
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📚 Classification by topics
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OmniParser – a game-changing approach for pure vision-based GUI agents that works across multiple platforms and applications.
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Official repo : https://github.com/rhymes-ai/Allegro
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"href"... | Google's SigLIP is another alternative to openai's CLIP, and it just got merged to 🤗transformers and it's super easy to use!
To celebrate this, I have created a repository including notebooks and bunch of Spaces on various SigLIP based projects 🥳
Search for art 👉 https://huggingface.co/spaces/merve/draw_to_sear... | {
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@HugoLaurencon @Leyo & @VictorSanh are introducing https://huggingface.co/datasets/HuggingFaceM4/WebSight , a multimodal dataset featuring 823,000 pairs of synthetically generated HTML/CSS codes along with screenshots of the corresponding rendered websites to train GPT4-V-l... | {
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... | 🙋🏻♂️hey there folks,
Everyone's🗣️talking about microsoft's new e5mistral embeddings model
🤔🤔 but did you actually try it yet ?
Well , now you can, just check it out. it's a new way to serve and create embeddings.
try it hosted on GPUZero : https://huggingface.co/spaces/Tonic/e5
or served on an A10G... | {
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"raw": "Just published a quick community bl... | Just published a quick community blog post mainly aimed at Art and Design students, but which is also an attempt to nudge AI researchers who would like to better consider benefits from collaboration with designers and artists 😉
Feel free to share your thoughts !
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