Hugging Face
@huggingface
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The AI community building the future. https://t.co/VkRPD0Vclr
NYC and Paris and π
Joined September 2016
Weights are out! π₯ FIBO is a new open weights high quality 8B image model by @bria_ai_ trained on json prompts! It can generate and modify images with a precisely crafted json prompt, allowing for every detail of the image to be decided Try it here: https://t.co/16xNHUGQ8B
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Generating an image from 1,000 words. Very excited to release Fibo π, the first ever open-source model trained exclusively on long, structured captions. Fibo sets a new standard for controllability and disentanglement in image generation [1/6] π§΅
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China's open source is just on fire. Soul, China's Tinder (?), has just open sourced their podcast model on @huggingface
https://t.co/laie6kUMqd
huggingface.co
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gpt-oss-safeguard lets developers use their own custom policies to classify content. The model interprets those policies to classify messages, responses, and conversations. These models are fine-tuned versions of our gpt-oss open models, available under Apache 2.0 license. Now
huggingface.co
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Now in research preview: gpt-oss-safeguard Two open-weight reasoning models built for safety classification. https://t.co/4rZLGhBO1w
openai.com
New open safety reasoning models (120b and 20b) that support custom safety policies.
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Delighted to see the great attention we're receiving as the Toronto Blue Jays, our first MLB team, are representing the American League in the World Series! It's also fantastic that our company is getting so much focus in Canada. We've been offering our innovative AIR-powered
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Appeared on a show
Next in our PyTorch Compiler Video Series, Sayak Paul introduces Diffusers, a Python library for state-of-the-art video, image, and audio generation, highlighting its optimization with torch.compile for performance benefits like offloading, LoRA, and quantization. βΆοΈ Watch the
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very cool alternative to GDPVal!
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
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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
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meet alfred β 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:
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you can just learn to build a robot over a weekend https://t.co/Us1wzre35w
github.com
π€ LeRobot: Making AI for Robotics more accessible with end-to-end learning - huggingface/lerobot
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Day 1 of teaching my desk robot how to fold laundry! Robot folding laundry FTW! What would you use this robot for?
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Excited for @DreamHack this upcoming weekend? Make sure to stop by our booth to pick up this exclusive Dreamhack Atlanta Snackbox MICRO! Unable to attend? We'll be giving one away for free from now until 11/3! Just like and retweet this tweet to enter.
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π ππ’π π§ππ°π¬ ππ¨π« πππ ππ¨ππ¨ππ’ππ¬ ππππ«π§π’π§π ! ππππ¨ππ¨π π―0.4.0 π’π¬ ππππ! We're supercharging open-source robot learning with major updates to make it more powerful, scalable, and user-friendly. Highlights: * π¦ Dataset v3.0: A new chunked,
huggingface.co
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NVIDIA is stepping up our support of openly developed AI across the industry. https://t.co/j4dJ4UqDck
blogs.nvidia.com
NVIDIAβs open model families, including NVIDIA Nemotron for digital AI, Cosmos for physical AI, Isaac GR00T for robotics and Clara for biomedical AI, provide developers with the foundation to build...
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I don't follow enough ppl on HF please drop your HF usernames below so I can give a follow
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βResearchers need open source. Developers need open source. Companies around the world β we need open source.β -Jensen Huang #NVIDIAGTC
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Why it happened: Mass-market clouds = mass-market risk. Zero-days and vendor dependencies mean your data is only as secure as the slowest patch.
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"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 https://t.co/sdp6MTvpXo
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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.
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We just launched new open models and datasets to make AI research and development more accessible π€ You now have open foundations to build specialized intelligent agents faster, safer, and at scale β from Nemotron to Cosmos, Isaac GR00T to Clara. Over 650 open models and 250
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Few know about it but Nvidiaβs open-source AI game is insane. Just look at this lead on HF activity Jensenβs flexing at GTC today Once they dominated with Software 1.0 (more than hardware). Now theyβre setting up to win Software 2.0 aka AI models + datasets.
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Great to see the shoutout from Jensen @nvidia for open-source AI & @huggingface. Open-source is the foundation of AI and we need much more of it in the US & around the world!
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