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NVIDIA AI(@NVIDIAAI)

NVIDIA AI (@NVIDIAAI) on X NVIDIA AI (@NVIDIAAI) on X NVIDIA AI (@NVIDIAAI) on X NVIDIA AI (@NVIDIAAI) on X @LangChain Here’s a technical walk-through for creating a LangChain Deep Agents harness profile for ... Excited to see this out in the open. We've been working with @LangChain to tune their Deep Agents h... You're welcome 👊 Check out the project page here. https://t.co/8ZzNiVCLc5 When you train a video model for motion, only some clips actually matter. New from NVIDIA Research ... Why Open Data Matters | Nemotron Labs https://t.co/xiSKfZeKTP https://t.co/TUSySTiMZs The NVIDIA research team ships papers faster than we can post about them. Here's another great pap... The Nemotron family just passed 100M downloads! Huge thank you to the community building with us a... @viditchess @stripe @NousResearch See his full demo here 👇 https://t.co/e1iwtqIGIo When it comes to Chess, @viditchess is an absolute legend. Recently, he entered the Hermes Agent Ac... https://t.co/hGUlsRVW9p How much can an LLM memorize? This ICML paper separates unintended memorization from generalizatio... Spark Hack Toronto Winner Spotlight: Belong & City Flow https://t.co/VcKpCbW2dc @huggingface And you can find the paper here https://t.co/1oOMf0xfOX Check it out on @huggingface👇 https://t.co/bHsHo4fd5g We took a 30B model and split it in two to write tokens in parallel instead of one at a time. Intro... https://t.co/JjDIJzSUyH Read the paper 👇 https://t.co/kfHLkzO6pk If you're interested in SIGGRAPH, check out this article from our very own @liu_mingyu. Plus, lear... Most motion papers tailor one controller to one specific task. This year at SIGGRAPH, our research t... What 5,000 Kagglers Taught Us About Improving AI Reasoning | Nemotron Labs https://t.co/HqNkkt9RTO What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what... @LangChain Explore deep agents 👇 https://t.co/S9CI85EHPr Frontier agent performance you can customize, tune, and deploy on your terms. @langchain integrates... Ends Tuesday. Top winners each get $ + DGX Spark + Stripe credits. https://t.co/yQHkkbmVeR .@ArtificialAnlys just dropped a brand new leaderboard called AA-Briefcase for evaluating realistic ... @QuantCapitalX @MiniMax_AI https://t.co/o0McAL0tnM @refikanadol Always love seeing your installations! Huge 🙌 to your team. We're proud to join @linuxfoundation and industry peers in launching Akrites. "Transparency and ope... NVIDIA Metropolis Blueprint for video search and summarization (VSS) 3 is here. Now your coding age... Spark Hack Toronto Winner Spotlight: Better Cities with Cracked City https://t.co/n4VwK3BpHT The rise of MoE models introduced new challenges in training, and @huggingface's Transformers v5 bro... Nemotron Office Hours: The Nemotron 3 Model Family | Nemotron Labs https://t.co/xG2XLF1T1H @PyTorch @lmsysorg Always great to collab with @lmsysorg! Thanks for sharing @PyTorch 💚 Increase inference performance by up to 15x without sacrificing responsiveness. DFlash, an open so... Join us at #SIGGRAPH2026 for more papers, breakthroughs, and sessions. https://t.co/9aSU8KSh2B 3D scene reconstruction works great until the camera never sees part of the scene. ArtiFixer from N... @leyten @Zai_org 🙌 Code is the right action interface for spatial reasoning agents. New from NVIDIA Research: SpatialC... Nemotron 3 Ultra and the Open Model Landscape | Nemotron Labs https://t.co/8opXC1aQ4r https://t.co/bgEBCRAOcE @manassharmahere 🔥 sweet spot for hack! Congrats to the @MiniMax_AI team on the release of MiniMax M3, a long-context multimodal model for t... NVIDIA is coming to #SIGGRAPH2026 in Los Angeles 🌴 Neural rendering, world models, physical AI, ha... One open model. 350,000+ motion clips. 15,000 FPS. MotionBricks from NVIDIA Research runs real-time... Shoutout to Caleb for putting together a great deep dive on Nemotron 3 🙌 Check it out. Generate Synthetic Data for Physical AI With NVIDIA Brev Launchables and Agent Skills https://t.co/h...
Read the full deep dive here https://t.co/TLsasdJPZc
NVIDIA AI (@ · 2026-06-24 · via NVIDIA AI(@NVIDIAAI)
Read the full deep dive here nvda.ws/4uOFHa3 💬 0 🔄 5 ❤️ 34 👀 5807 📊 8 ⚡ Powered by xgo.ing

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