The State of Open Source AI | NVIDIA GTC

NVIDIA Developer · Beginner ·📰 AI News & Updates ·1mo ago
Open source AI is evolving at record speed, reshaping how we train, refine, and deploy models across industries. Join leading builders as we explore the current state of open models and tools, the breakthroughs driving their momentum, and the new capabilities needed as AI becomes more specialized, multi-modal, and agent-driven. Vartika Singh | Strategic AI Lead | NVIDIA Jonathan Cohen | VP of Applied Research | NVIDIA Ying Sheng | Co-Founder & CEO | RadixArk Ion Stoica | Professor, EECS Department | University of California, Berkeley Jeff Boudier | VP of Product | Hugging Face Ranjay Krishna | Director of Multimodal and Embodied AI | Ai2 Key Takeaways: Understand how today’s leading open-model teams train and optimize. Learn why openness accelerates trust, transparency, and real-world adoption. Explore the next technical hurdles including evaluation, memory, multi-modality, and emerging agent behaviors. See how shared tools and cross-community collaboration accelerate progress for everyone. Prepare for the next wave of open source AI and the capabilities developers will need. Industry: All Industries Topic: Developer Tools & Techniques - Pre-Trained / Foundation Models Technical Level: Technical - Beginner Intended Audience: Developer / Engineer NVIDIA Technology: NeMo #nvidiagtc
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