Hugging Face

Hugging Face (Twitter) RT @mervenoyann: I don't follow enough ppl on HF please drop your HF usernames below so I can give a follow

Hugging Face (Twitter) RT @wangzhilin123: We built ProfBench to raise the bar for LLMs - literally. At @NVIDIA, we worked with domain experts to create a benchmark that goes far beyond trivia and short answers. ProfBench tests LLMs on complex, multi-step tasks that demand the kind of reasoning, synthesis, and clarity you'd expect from a PhD physicist or MBA consultant. 🌎 This isn’t just a dataset drop. It’s a global collaboration: 38 professionals across 8 countries contributed over 7,000 expert-written rubrics across finance MBA 💵, consulting MBA 📊, chemistry PhD 🧪and physics PhD 🚀. 🧗Every prompt and grading rubric was handcrafted, requiring tens of hours of dedicated and focussed work. Now fully supported in the NeMo Evaluator SDK, ProfBench enables reproducible, rubric-based evaluations and side-by-side model comparisons. 🔗 ProfBench on @HuggingFacehttps://huggingface.co/datasets/nvidia/ProfBench 🔗 NeMo Evaluator SDK... Перейти на оригинальный пост

Hugging Face (Twitter) RT @lisayan1010: meet alfred — our @NVIDIARobotics x @huggingface hackathon robot that helps makes an old fashioned by dropping the orange garnish in the glass - fine-tuned gr00t n1.5 on 50 teleop demos - trained and run on lerobot so-101 arms - generalizes to new drinks in the glass - bonus: running remote inference on @SpaceX's starlink since wifi was so bad (thanks @elonmusk!) code here: https://github.com/LF-Luis/HomeLeRobot @SeeedStudio#EmbodiedAIHackathon @drewborinstein@luifern0

Hugging Face (Twitter) RT @NVIDIAAIDev: “Researchers need open source. Developers need open source. Companies around the world — we need open source.” -Jensen Huang #NVIDIAGTC

Hugging Face (Twitter) RT @0xaiwhisperer: Day 1 of teaching my desk robot how to fold laundry! Robot folding laundry FTW! What would you use this robot for?

Hugging Face (Twitter) RT @ClementDelangue: very cool alternative to GDPVal! https://twitter.com/wangzhilin123/status/1983238242540634298#m

‌Hugging Face (Twitter) RT @LeRobotHF: 🚀 𝐁𝐢𝐠 𝐧𝐞𝐰𝐬 𝐟𝐨𝐫 𝐎𝐒𝐒 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠! 𝐋𝐞𝐑𝐨𝐛𝐨𝐭 𝐯0.4.0 𝐢𝐬 𝐋𝐈𝐕𝐄! We're supercharging open-source robot learning with major updates to make it more powerful, scalable, and user-friendly. Highlights: * 📦 Dataset v3.0: A new chunked, streamable format built for massive (OXE-level) datasets. * 🌍 New Sim Support: Integrated LIBERO & Meta-World for diverse VLA & multi-task training and evaluation. * 🛠️ Data Processors: A new modular pipeline to seamlessly connect any policy to any robot. * 🧠 SOTA Policies: We've integrated PI0 / PI0.5 & an Nvidia Gr00t N1.5 for open-world generalization. * ⚡ Multi-GPU Training: Scale your experiments with Accelerate in just one command. * 🔌 Hardware Plugin System: A new era for hardware! Connect new robots to `lerobot` with a simple `pip install`. * 👩‍🏫 New HF Robot Learning Course: We're launching a 100% open-source course to make robot learning accessible to all! This is a huge leap forward. Read the full announcement in the Release Blog:

‌Hugging Face (Twitter) RT @adidogCEO: you can just learn to build a robot over a weekend https://github.com/huggingface/lerobot

‌Hugging Face (Twitter) RT @ctnzr: NVIDIA is stepping up our support of openly developed AI across the industry. https://blogs.nvidia.com/blog/open-models-data-ai/

Hugging Face (Twitter) RT @cgeorgiaw: 🔥 It's here: OpenFold3 is now live. THE open-source foundation model for predicting 3D structures of proteins, nucleic acids & small molecules. This is where the future of drug discovery and biomolecular AI lives. Built by @open_fold. Hosted on @huggingface. 👇 more

Hugging Face (Twitter) RT @jeffboudier: "Researchers need open source. Developers need open source. Companies around the world, we need open source. Open source models is really, really important." Thanks @nvidia for the amazing contributions to open source AI, everyone should follow hf.co/nvidia

‌Hugging Face (Twitter) RT @webis_de: We just released "German Commons", the largest openly-licensed German text dataset for LLM training: 154B tokens with clear usage rights for research and commercial use.