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Sorry the audio quality sucks, I will buy a new microphone today. Why does some moron like me solve these t... | {
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DEMO LINK:
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... | ๐ฅ๐ญ๐ New Research Alert - HeadGAP (Avatars Collection)! ๐๐ญ๐ฅ
๐ Title: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors ๐
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Deep & Cross Network (DCN) - a groundbreaking approach to click-through rate prediction that's revolutionizing digital advertising!
Key Innovation:
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๐ญ StableV2V aims to perform video editing with aligned shape consistency to user prompt, even if which might cause significant shape differences.
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"From Prompt to Global Service in 60 Seconds"
The Future of Web Development
MOUSE-I revolutionizes web development by converting a single prompt into a fully functional, globally deployed web service through AI automation and enterprise-grade infrastructure.
โก Lightni... | {
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I had this sitting on my drive and forgot where I pulled it together from. It's 100 classes of imagenet, 50k train a... | {
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http... | {
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๐ 100+ exercises
๐ 12 modules
๐ 15 hours
๐น Video explainers of ML concepts
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Ref:
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"... | Did some little experimentation to resize pre-trained LoRAs on Flux. I explored two themes:
* Decrease the rank of a LoRA
* Increase the rank of a LoRA
The first one is helpful in reducing memory requirements if the LoRA is of a high rank, while the second one is merely an experiment. Another implication of this stud... | {
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... | ๐ Hi Gradio community,
I'm excited to share that Gradio 5 will launch in October with improvements across security, performance, SEO, design (see the screenshot for Gradio 4 vs. Gradio 5), and user experience, making Gradio a mature framework for web-based ML applications.
Gradio 5 is currently in beta, so if you'd ... | {
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https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2 is trained on high-quality general chat and science-instruct data! Get it now :)
(Enigma's up next for 3b, that'll be out soon!)
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... | We've shipped new computer vision/multimodal tasks to Hugging Face Hub ๐ซก
Keypoint detection just landed with many docs, and goodies ๐
https://huggingface.co/models?pipeline_tag=keypoint-detection
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LlaVA-3D: adds 3D-awareness to LVMs without compromising 2D understanding capabilities.
Method: they developed a unified architecture that maps 2D clip patch features to their corresponding positions in 3D space - enabling joint 2D and 3D vision-language instruction tuning.
Project: https://zcmax.... | {
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}... | ๐ 1,000,000 public models milestone achieved on Hugging Face! ๐คฏ
This chart by @cfahlgren1 shows the explosive growth of open-source AI. It's not just about numbers - it's a thriving community combining cutting-edge ML with real-world applications. https://huggingface.co/spaces/cfahlgren1/hub-stats
Can't wait to see... | {
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... | ๐๐บ๐ New Research Alert - ECCV 2024 (Avatars Collection)! ๐๐๐
๐ Title: Expressive Whole-Body 3D Gaussian Avatar ๐
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... | Good folks at Meta has just unveiled Llama 3.2, pushing the boundaries of language models and computer vision.
Even more interesting is how they trained this cutting-edge model:
1๏ธโฃ Architecture:
Llama 3.2 uses an optimized transformer architecture with auto-regressive capabilities. The largest models (11B and 90B) n... | {
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Itโs been exciting to dive into how the Hub is built and design our steel thread through the infrastructure. Now that the thread is up, we can kic... | {
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"va... | My earliest / most popular AI example of using @pytorch for art has been updated with AI Pair Programming (AIPP) to use resolution of original inputs with @gradio and @AnthropicAI
For anyone learning AI model development - this is a great starter!
https://huggingface.co/spaces/awacke1/Image-to-Line-Drawings
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I was excited to explore Llama 3.2, but as a simple ๐ช๐บ EU guy, I don't have access to Meta's multimodal models ๐ฟ
๐ค So I thought: why not challenge the small 3B text model with Agentic RAG?
๐ฏ The plan:
- Build a system that tries to answer questions using a k... | {
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"... | Transformers v4.45.0 released: includes a lightning-fast method to build tools! โก๏ธ
During user research with colleagues @MoritzLaurer and @Jofthomas , we discovered that the class definition currently in used to define a Tool in
`transformers.agents` is a bit tedious to use, because it goes in great detail.
โก๏ธ So I... | {
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"value": "Want to get familiar with llama 3.2 and an actual example of structured data generation? Try out the Google Colab I created.",
"raw": "Want to get familiar with llama 3.2 and an actual example of structured data generation? Try out the Google Colab I created.",
"href": nu... | Want to get familiar with llama 3.2 and an actual example of structured data generation? Try out the Google Colab I created.
Notebook: https://colab.research.google.com/drive/1nHNXUbgwRMyjFeBZbQvNLqaXGkqE4Wcs?usp=sharing
Model: https://huggingface.co/hugging-quants/Llama-3.2-3B-Instruct-Q8_0-GGUF/tree/main
Dataset: ht... | {
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https://huggingface.co/meta-llama/Llama-3.2-1B
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"raw": "\n"... | A big day for multimodal models!
Llama 3.2 is out with a major update: it can now process images.
Key highlights:
โข 11B and 90B vision models
โข Small 1B and 3B text models for mobile devices
Eval results already on the leaderboard: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
Collection: h... | {
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"resource": nu... | Exciting news in AI: Molmo, a groundbreaking family of open-source multimodal models, has just been announced! ๐
Key points:
- Closes the gap with proprietary systems on benchmarks & human evals
- Trained on high-quality data (< 1M image-text pairs vs billions)
- Introduces pointing capability for rich interactions
-... | {
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"value": "๐ฅ๐ญ๐ New Research Alert - ECCV 2024 (Avatars Collection)! ๐๐ญ๐ฅ",
"raw": "๐ฅ๐ญ๐ New Research Alert - ECCV 2024 (Avatars Collection)! ๐๐ญ๐ฅ",
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... | ๐ฅ๐ญ๐ New Research Alert - ECCV 2024 (Avatars Collection)! ๐๐ญ๐ฅ
๐ Title: MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos ๐
๐ Description: MeshAvatar is a novel pipeline that generates high-quality triangular human avatars from multi-view videos, enabling realistic editing and re... | {
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"value": "๐ข Seriously, We can't go with Big5 or other non structured descriptions to diverse large amount of characters ๐จโ๐ฉโ๐ฆโ๐ฆ from many books ๐. Instead, The factorization + open-psychometrics antonyms extracted from dialogues is a key ๐ for automatic character profiling that pur... | ๐ข Seriously, We can't go with Big5 or other non structured descriptions to diverse large amount of characters ๐จโ๐ฉโ๐ฆโ๐ฆ from many books ๐. Instead, The factorization + open-psychometrics antonyms extracted from dialogues is a key ๐ for automatic character profiling that purely relies on book content ๐. With that... | {
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"value": "๐๐ปโโ๏ธ Hey there folks,",
"raw": "๐๐ปโโ๏ธ Hey there folks,",
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"href": null... | ๐๐ปโโ๏ธ Hey there folks,
https://huggingface.co/stepfun-ai/GOT-OCR2_0 is in top trending and spaces of the week for the second week straight !!
This is madness ๐ฑ
๐๐check out my demo here : https://huggingface.co/spaces/Tonic/GOT-OCR | {
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... | Researchers from @GoogleDeepMind have introduced "Michelangelo" โ a novel framework for evaluating large language models on long-context reasoning tasks beyond simple retrieval.
They have proposed three minimal tasks to test different aspects of long-context reasoning:
- Latent List: Tracking a Python list's state ove... | {
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"raw": "๐ I wrote a tutorial on how to get started with the fine-tuning process using Hugging Face tools, providing an end-to-end workflow.... | ๐ I wrote a tutorial on how to get started with the fine-tuning process using Hugging Face tools, providing an end-to-end workflow.
The tutorial covers creating a new dataset using the new SQL Console ๐ข and fine-tuning a model with SFT, guided by the Notebook Creator App ๐.
๐ You can read the full article here:
... | {
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๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐๐๐ญ๐ก๐๐ซ ๐ฆ๐จ๐๐๐ฅ: ๐๐ซ๐ข๐ญ๐ก๐ฏ๐ข ๐๐ฑ๐ ๐๐ง๐๐๐ฅ๐๐ฌ ๐ฅ๐ข๐๐-๐ฌ๐๐ฏ๐ข๐ง๐ ๐ฐ๐๐๐ญ๐ก๐๐ซ ๐ฉ๐ซ๐๐๐ข๐๐ญ๐ข๐จ๐ง๐ฌ",
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๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐๐๐ญ๐ก๐๐ซ ๐ฆ๐จ๐๐๐ฅ: ๐๐ซ๐ข๐ญ๐ก๐ฏ๏ฟฝ... | ๐ ๐๐ก๐ ๐๐ข๐ซ๐ฌ๐ญ ๐๐ฏ๐๐ซ ๐
๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง ๐ฐ๐๐๐ญ๐ก๐๐ซ ๐ฆ๐จ๐๐๐ฅ: ๐๐ซ๐ข๐ญ๐ก๐ฏ๐ข ๐๐ฑ๐ ๐๐ง๐๐๐ฅ๐๐ฌ ๐ฅ๐ข๐๐-๐ฌ๐๐ฏ๐ข๐ง๐ ๐ฐ๐๐๐ญ๐ก๐๐ซ ๐ฉ๐ซ๐๐๐ข๐๐ญ๐ข๐จ๐ง๐ฌ
Hurricane Katrina killed hundreds of people as it made landfall on New Orleans in 2005 - many of these deaths could have been avoided if alerts ... | {
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"value": " (SomosNLP) and team releases the Spanish leaderboard !!!",
... | @mariagrandury (SomosNLP) and team releases the Spanish leaderboard !!!
It is impressive how they choosed to design this leaderboard and how it support 4 languages (all part of Spain ofc).
Check it out from this link :
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"v... | In August, the XetHub team joined Hugging Face
- https://huggingface.co/blog/xethub-joins-hf - and weโve been rolling up our sleeves to bring the best of both worlds together. We started with a deep dive into the current state of files stored with Git LFS on the Hub.
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... | Here is my latest study on OpenAI๐o1๐.
https://huggingface.co/papers/2409.13773
I wrote an easy-to-read blogpost to explain finding.
https://huggingface.co/blog/onekq/daily-software-engineering-work-reasoning-models
INSTRUCTION FOLLOWING is the key.
100% instruction following + Reasoning = new SOTA
But if the mod... | {
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"value": null,... | Some interesting findings in this paper:
- They consider o1 a Large Reasoning Model (LRM) with a different arch from SOTA LLMs.
- Creative justifications: โIt is almost as if o1 has gone from hallucinating to gaslighting!โ. This is so true, I noticed also it can โhallucinateโ its chain-of-thoughts lol.
- Accuracy/Cos... | {
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"type"... | Streaming Text-to-Speech Chat Demo (CPU Inference Client)
https://huggingface.co/spaces/Akjava/mistral-7b-v0.3-matcha-tts-en
Please be patient, as it may take over a minute to load the ONNX model.
This demo utilizes an inference client, which may occasionally become unresponsive.
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"user": null,... | Yesterday, I shared a blog post on generating data for fine-tuning ColPali using the https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct model.
To simplify testing this approach, I created a Space that lets you generate queries from an input document page image: https://huggingface.co/spaces/davanstrien/ColPali-Query-Gen... | {
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Paper link:
https://aclanthology.org/2024.arabicnlp-1.9/
More information in this website:
https://arabic-clip.github.io/Arabic-CLIP/
All datasets, models, and demo are published to Huggingface:
https://huggingface.co/Arabic-Clip
The codes are published t... | {
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"la... | ๐ข It is less meaningful to prompt LLM directly for opinion mining. Instead, the
Three-hop (๐กaspect + ๐คopinion + ๐ง reason) Chain-of-Thought reasoning concept
represent a decent solution for reason sentiments.
After a series of the related posts here on huggingface, I am happy to invite you ๐ on my talk @ NLPSumm... | {
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Good folks at @AnthropicAI just introduced Contextual Retrieval, and it's a significant yet logical step up from simple Retrieval-Augmented Generation (RAG)!
Here are the steps to implement Contextual Retrieval based on Anthropic's approach:... | {
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Check out my latest blog post, where I guide you through creating a ColPali fine-tuning dataset using https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct to generate queries for a collection of UFO docum... | {
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"hre... | Looking for a logo idea ๐ ?
I made a new cool space https://huggingface.co/spaces/enzostvs/Logo.Ai to help you design a great logo in seconds!
Here are some examples of what you can do, feel free to share yours too! ๐ | {
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Prithvi WxC offers insights beyond forecasting, tackling challenges from local weather to global climate. Potential apps: targeted forecasts, severe weather detection & more. https://huggingface.co/Prithvi-WxC
This is impressive. Ch... | {
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- It's pay-as-you-go, so it doesn't have rate limits like the standard HF Serverless API and you don't need to commit to hardware like fo... | {
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We're thrilled to announce the release of Argilla 2.2.0, packed with powerful new features to enhance your data annotation and LLM workflow:
๐จ๏ธ ChatField: Work with text conversations natively in Argilla. Perfect for building datasets for conversational LLMs!
โ๏ธ Adjustable... | {
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Full doc at https://mltblog.com/47DisG5
Have you tried the xLLM web API? It allows you to fine-tune and debug an agentic multi-LLM in real time. The input data is part of the anonymized corporate corpus of a Fortune 100 company, dealing with AI policies, ... | {
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Where To Download And Install
You can download our APP fr... | {
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"url": nul... | @victor @not-lain There has been a sudden and unusual outbreak of spam postings on the HF Forum that seem to be aimed at relaying online videos and commenting on them. It is also spanning multiple languages for some reason. I've flagged it too, but I'm not sure if the staff will be able to keep up with the manual measu... | {
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I haven't completed it yet, but this amazing work, written by Simone Scardapane, is a fascinating introduction to deep neural networks and differentiable programming.
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"value": "Papers/Models"... | Last Week in Medical AI: Top Research Papers/Models
๐
(September 14 - September 21, 2024)
๐
Medical AI Paper of the Week
- How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
Medical LLM & Other Models
- GP-GPT: LLMs for Gene-Phenotype Mapping
- HuatuoGPT-II, 1-stage Training for... | {
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Full article here : https://medium.com/@furkangozukara/multi-gpu-flux-fu
Image 1
Image 1 shows that only first part of installation of Kohya ... | {
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"resource"... | Good folks at @nvidia have just released NVLM 1.0, a family of frontier-class multimodal large language models that achieve state-of-the-art results across vision-language tasks.
Here is how they did it:
1. Model Architecture Design:
- Developed three model architectures:
a) NVLM-D: Decoder-only architecture
b) NVLM-... | {
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```
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ve_ = lambda: i_lo('<3')
ve_()
ve_()
ve_()
ve_()
```
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"value": "Weโve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a web search is neededโthen answers directly or with RAG.",
"raw": "Weโve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a we... | Weโve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a web search is neededโthen answers directly or with RAG.
https://huggingface.co/spaces/sambanovasystems/auto-web-search
๐ฅ A hidden Easter egg is that Auto Search detection is already trained into Llama 3.1 checkpoi... | {
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"r... | !!SEE UPDATE BELOW!!
I don't know who still needs to hear this, but if you're using Mistral Nemo-based models, you might have been using the wrong completions format. This is a signal boost from MarinaraSpaghetti's model card for NemoMix-Unleashed: https://huggingface.co/MarinaraSpaghetti/NemoMix-Unleashed-12B#instruct... | {
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"value": "Is there any good multimodal pdf rag application, my task is to extract tables from unstructured pdfs and convert the same to xlsx file. Current python libraries are not capable of doing the same task with ease, imo vision models are capable of handling such task",
"raw": "Is... | Is there any good multimodal pdf rag application, my task is to extract tables from unstructured pdfs and convert the same to xlsx file. Current python libraries are not capable of doing the same task with ease, imo vision models are capable of handling such task | {
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"labe... | Generative 3D demos often produce vertex-colored meshes, without UVs or textures
so I made a minimal library that converts vertex-colored meshes to uv-mapped, textured meshes
library: https://github.com/dylanebert/InstantTexture
demo: https://huggingface.co/spaces/dylanebert/InstantTexture
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504479289231397 | [
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"value": "A super good and fast image inpainting demo is here.",
"raw": "A super good and fast image inpainting demo is here.",
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Its' super cool and realistic.
Demo by @OzzyGT (Must try):
https://huggingface.co/spaces/OzzyGT/diffusers-fast-inpaint
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"raw": "๐ธ I'm working on a pipeline for creating domain-specific ColPali fine-tuning datasets using a co... | ๐ธ I'm working on a pipeline for creating domain-specific ColPali fine-tuning datasets using a collection of UFO newsletters from the Internet Archive as a case study.
I will have a full notebook to share on Monday, but you can already take a look at the dataset here: https://huggingface.co/datasets/davanstrien/ufo-C... | {
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"value": "๐ง Stanford paper might be the key to OpenAI o1โs performance: Whatโs so effective about Chain of Thought? โ it unlocks radically different sequential tasks!",
"raw": "๐ง Stanford paper might be the key to OpenAI o1โs performance: Whatโs so effective about Chain of Thought? โ... | ๐ง Stanford paper might be the key to OpenAI o1โs performance: Whatโs so effective about Chain of Thought? โ it unlocks radically different sequential tasks!
๐ญย Reminder: A Chain of Thought (CoT) means that you instruct the model to โthink step by stepโ. Often itโs literally just putting in the prompt โletโs think ste... | {
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"raw": "Just for the meme.",
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"resou... | Just for the meme.
But the clear lesson I learnt from building these demos are, the more powerful the underlying base model is, the closer you will get to GPT4o1. CoT is nothing more than simply inducing the latent reasoning capability from the model.
https://huggingface.co/spaces/kz919/GPT4-O1-Proximas
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"raw": "Take a look at distilabel's last blog post to see how to leverage FinePersonas to create AI users for a social networ... | Take a look at distilabel's last blog post to see how to leverage FinePersonas to create AI users for a social network, inspired by SocialAI's app: https://x.com/michaelsayman/status/1835841675584811239
- Link: https://distilabel.argilla.io/dev/sections/pipeline_samples/examples/fine_personas_social_network/
- Sample ... | {
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"url": null,... | Wikimedia Enterprise just dropped full English & French Wikipedia on Hugging Face as structured JSON ๐คฏ
Key points:
1. Parsed articles ready for machine learning pipelines
2. Perfect for AI model development - from pre-training to RAG
3. Includes metadata, Wikidata links, and content scores
4. Licensed under GFDL and ... | {
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โ Hard negatives are texts that are rather similar to some anchor text (e.g. a query), but are not th... | {
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Check out my latest projects that uses https://huggingface.co/Qwen/Qwen2.5-72B-Instruct , https://huggingface.co/black-forest-labs/FLUX.1-dev , and https://huggingface.co/datasets/MohamedRashad/FinePersonas-Lite to generate different chara... | {
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Crash reminder: Retrieval Augmented Generation (RAG) is a widely-used technique for improving your LLM chatbot's answers to user questions.
It goes like this: instead of generating an LLM answer straight away, it just adds ... | {
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... | Explore FinePersonas, visually with Argilla and https://huggingface.co/black-forest-labs/FLUX.1-schnell
Excited to share this space where the community can explore a tiny subset of FinePersonas
https://huggingface.co/spaces/argilla/finepersonas
Dataset built with distilabel and Free Serveless endpoints
This is ju... | {
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The release includes:
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Currently in early beta (English & French). Explore it and give feedback: https://huggingface.co/datasets/wikimedia/structured-wikipedia
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Attention AI developers and engineers!
Discover how ZETIC.MLange can effortlessly transform YOLOv8 models into on-device AI with mobile NPU utilizations. ๐
๐ก We highlight the power of mobile NPU, showing how it outperforms CPU ... | {
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With 40 billion tokens, this dataset aims for enhancing the reasoning capabilities of multimodal large language models in the domain of mathematics.
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"href"... | Single Block / Layer FLUX LoRA Training Research Results and LoRA Network Alpha Change Impact With LoRA Network Rank Dimension
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Conclusions
As expe... | {
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"href": nu... | @JonSteinworth please acces https://huggingface.co/datasets/shainar/BEAD
All these data pieces are there | {
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- the new Supernova is 2x the rows, continuing to provide high quality general synthetic data generated with Llama 405b Instruct.
Find it at https://huggingface.co/datasets/sequelbox/Supernova
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... | ๐Introducing ruschatgpt Q&A Dataset - https://huggingface.co/datasets/nyuuzyou/ruschatgpt-qa
Dataset highlights:
- 190,281 question-answer pairs from ruschatgpt.ru, a Russian question-answering website
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- Each entry includes: URL, question, and response
- Data reflects user-generated q... | {
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"value": "Good folks from VILA Lab at Mohamed bin Zayed University of AI have introduced 26 guiding principles for optimizing prompts when interacting with large language models (LLMs) like LLaMA and GPT.",
"raw": "Good folks from VILA Lab at Mohamed bin Zayed University of AI have int... | Good folks from VILA Lab at Mohamed bin Zayed University of AI have introduced 26 guiding principles for optimizing prompts when interacting with large language models (LLMs) like LLaMA and GPT.
These principles aim to enhance LLM response quality, accuracy, and task alignment across various scales of models.
1. Be d... | {
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664056222467611 | [
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"type": "text",
"value": "Inference Endpoints got a bunch of cool updates yesterday, this is my top 3",
"raw": "Inference Endpoints got a bunch of cool updates yesterday, this is my top 3",
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... | Inference Endpoints got a bunch of cool updates yesterday, this is my top 3 | {
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316708748461696 | [
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"type": "text",
"value": "๐ Excited to share the latest update to the Notebook Creator Tool!",
"raw": "๐ Excited to share the latest update to the Notebook Creator Tool!",
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"lang": null... | ๐ Excited to share the latest update to the Notebook Creator Tool!
Now with basic fine-tuning support using Supervised Fine-Tuning! ๐ฏ
How it works:
1๏ธโฃ Choose your Hugging Face dataset and notebook type (SFT)
2๏ธโฃ Automatically generate your training notebook
3๏ธโฃ Start fine-tuning with your data!
Link to the app ... | {
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321766557032408 | [
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"type": "text",
"value": "What are your favorite text chunkers/splitters? ",
"raw": "What are your favorite text chunkers/splitters? ",
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... | What are your favorite text chunkers/splitters?
Mine are:
- https://github.com/benbrandt/text-splitter (Rust/Python, battle-tested, Wasm version coming soon)
- https://github.com/umarbutler/semchunk (Python, really performant but some issues with huge docs)
I tried the huge Jina AI regex, but it failed for my (admi... | {
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663661698988100 | [
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"value": "๐ Your AI toolkit just got a major upgrade! I updated the Journalists on Hugging Face community's collection with tools for investigative work, content creation, and data analysis.",
"raw": "๐ Your AI toolkit just got a major upgrade! I updated the Journalists on Hugging Fa... | ๐ Your AI toolkit just got a major upgrade! I updated the Journalists on Hugging Face community's collection with tools for investigative work, content creation, and data analysis.
Sharing these new additions with the links in case itโs helpful:
- @wendys-llc's excellent 6-part video series on AI for investigative jo... | {
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829049751921028 | [
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"value": "This issue is just a treasure ! A bit deprecated i guess, but things are in their historical context. (personally, still need more to understand better)",
"raw": "This issue is just a treasure ! A bit deprecated i guess, but things are in their historical context. (personally... | This issue is just a treasure ! A bit deprecated i guess, but things are in their historical context. (personally, still need more to understand better)
https://github.com/huggingface/transformers/issues/8771
๐ซก to the man @stas | {
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] | 2024-09-19T11:33:45.000Z | 2024-09-19T11:33:45.078Z | [] | /posts/alielfilali01/829049751921028 | 374 | 0 |
875775738519407 | [
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"value": "๐SetFit v1.1.0 is out! Training efficient classifiers on CPU or GPU now uses the Sentence Transformers Trainer, and we resolved a lot of issues caused by updates of third-party libraries (like Transformers). Details:",
"raw": "๐SetFit v1.1.0 is out! Training efficient class... | ๐SetFit v1.1.0 is out! Training efficient classifiers on CPU or GPU now uses the Sentence Transformers Trainer, and we resolved a lot of issues caused by updates of third-party libraries (like Transformers). Details:
Training a SetFit classifier model consists of 2 phases:
1. Finetuning a Sentence Transformer embedd... | {
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"osansevie... | 2024-09-19T10:33:11.000Z | 2024-09-19T10:33:11.681Z | [] | /posts/tomaarsen/875775738519407 | 2,024 | 0 |
282477100737560 | [
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"value": "Why would you fine-tune a model if you can just prompt an LLM? The new paper \"What is the Role of Small Models in the LLM Era: A Survey\" provides a nice pro/con overview. My go-to approach combines both:",
"raw": "Why would you fine-tune a model if you can just prompt an LL... | Why would you fine-tune a model if you can just prompt an LLM? The new paper "What is the Role of Small Models in the LLM Era: A Survey" provides a nice pro/con overview. My go-to approach combines both:
1. Start testing an idea by prompting an LLM/VLM behind an API. It's fast and easy and I avoid wasting time on tuni... | {
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273259082873660 | [
{
"type": "text",
"value": "๐ฅ ๐๐ฐ๐๐ง ๐ซ๐๐ฅ๐๐๐ฌ๐๐ฌ ๐ญ๐ก๐๐ข๐ซ ๐.๐ ๐๐๐ฆ๐ข๐ฅ๐ฒ ๐จ๐ ๐ฆ๐จ๐๐๐ฅ๐ฌ: ๐๐๐ฐ ๐๐๐๐ ๐๐จ๐ซ ๐๐ฅ๐ฅ ๐ฌ๐ข๐ณ๐๐ฌ ๐ฎ๐ฉ ๐ญ๐จ ๐๐๐!",
"raw": "๐ฅ ๐๐ฐ๐๐ง ๐ซ๐๐ฅ๐๐๐ฌ๐๐ฌ ๐ญ๐ก๐๐ข๐ซ ๐.๐ ๐๐๐ฆ๐ข๐ฅ๐ฒ ๐จ๐ ๐ฆ๐จ๐๐๐ฅ๐ฌ: ๐๐๐ฐ ๐๐๐๐ ๐๐จ๐ซ ๐๐ฅ๐ฅ ๐ฌ๐ข๐ณ๐๐ฌ ๐ฎ๐ฉ ๐ญ๐จ ... | ๐ฅ ๐๐ฐ๐๐ง ๐ซ๐๐ฅ๐๐๐ฌ๐๐ฌ ๐ญ๐ก๐๐ข๐ซ ๐.๐ ๐๐๐ฆ๐ข๐ฅ๐ฒ ๐จ๐ ๐ฆ๐จ๐๐๐ฅ๐ฌ: ๐๐๐ฐ ๐๐๐๐ ๐๐จ๐ซ ๐๐ฅ๐ฅ ๐ฌ๐ข๐ณ๐๐ฌ ๐ฎ๐ฉ ๐ญ๐จ ๐๐๐!
The Chinese LLM maker just dropped a flurry of different models, ensuring there will be a Qwen SOTA model for every application out there:
Qwen2.5: 0.5B, 1.5B, 3B, 7B, 14B, 32B, and ... | {
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