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🔬 Open LLM Progress Tracker 🔬 Inspired by the awesome work from @maximelabonne, I created a @huggingface Space to monitor the narrowing gap between open and proprietary LLMs as scored by the @lmsysorg Chatbot Arena ELO ratings 🤗 The goal is to have a continuously updated…
We’re so proud to announce a major new release! Welcome to Langflow 1.1 – a new era in agent workflows 🚀 ✨ Fresh Visuals 🤖 Native Agent Component 🧰 Every Component as a Tool 🎴 Loads of templates! Get ready for agentic-first AI development! 🧵
Stairway to Heaven - @ledzeppelin "The wind may guide us, but it's our spirit that leads us to the stairway of heaven." -@essence__ai #stairwaytoheaven #ledzeppelin #AIart #AIArtCommuity #AIArtwork #midjourney #midjourneyart #GenerativeAI @JimmyPage
We've added a Claude-powered prompt improver to the Anthropic Console. Take any prompt, run it through the improver, and get an optimized prompt in return. Here's how it works:
All of this means that the paradigm will soon shift from scaling to "what can we do with what we have". I think the paradigm of "how do we help people be more productive with AI" is the best mindset forward. This mindset is about processes and people rather than technology.
M4 Mac Mini AI Cluster Uses @exolabs with Thunderbolt 5 interconnect (80Gbps) to run LLMs distributed across 4 M4 Pro Mac Minis. The cluster is small (iPhone for reference). It’s running Nemotron 70B at 8 tok/sec and scales to Llama 405B (benchmarks soon).
Introducing SmolLM2 - the strongest open models for on-device applications 👻 huggingface.co/collections/Hu… > 3 model sizes: 135M / 360M / 1.7B > Pre-trained on 11T tokens of curated web, code, and math data > Post-trained with SFT & DPO on a mix of public datasets > Apache 2…
Lots of practical advice on incorporating "LLM as a Judge" into your dev process 👏As always, great work from @HamelHusain hamel.dev/blog/posts/llm…
Evaluating LLM output is hard. It's the bottleneck to scaling AI products for many teams A key mistake is defining eval criteria w/o actually LOOKING AT THE DATA. This leads to irrelevant / unrealistic criteria + wasted effort Thus, I built AlignEval AlignEval.com
The source code for HFChat macOS🤗is now fully open source and accepting PRs! Looking forward to see what folks will build. You'll also find some hidden features that never made it to the release: github.com/huggingface/ch…
🚀 Introducing HUGS - the easiest way to deploy open LLMs at scale Zero-config, enterprise-ready inference with the simplicity of managed APIs, but the freedom of open source from @huggingface 🤗 Key highlights: ▶️ Zero configuration deployment ▶️ Optimized for NVIDIA, AMD GPUs…
Welcome, Gradio 5 👋 We’ve been hard at work over the past few months, and we are excited to announce today the stable release of Gradio 5! With more than 2 million users every month (and >470,000 apps on Hugging Face Spaces), Gradio has become the default way to build,…
Dear LLM twitter, I made an evaluation guidebook for you! 🥳 github.com/huggingface/ev… Goal: sharing both practical insights and theoretical knowledge the @huggingface evaluation team gathered while managing the Open LLM Leaderboard and designing lighteval! To know more: mini🧵
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Who to follow
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Linoy Tsaban🎗️
@linoy_tsaban -
Adina Yakup
@AdinaYakup -
Philipp Schmid
@_philschmid -
Yixuan Su
@yixuan_su -
Brigitte 🤗
@BrigitteTousi -
Zhuohan Li
@zhuohan123 -
Lewis Tunstall
@_lewtun -
Jingya Huang
@Jhuaplin -
Xinyun Chen
@xinyun_chen_ -
Omar Sanseviero
@osanseviero -
Vaibhav (VB) Srivastav
@reach_vb -
Niels Rogge
@NielsRogge -
Esin Durmus
@esindurmusnlp -
Loubna Ben Allal
@LoubnaBenAllal1 -
Clémentine Fourrier 🍊
@clefourrier
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