Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Paper • 2606.03979 • Published 7 days ago • 28
view article Article Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining nvidia • 4 days ago • 13
view article Article How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent nvidia • 4 days ago • 41
view article Article Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic ibm-research • 7 days ago • 84
view article Article Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI nvidia • 4 days ago • 7
Gemma 4 Collection Gemma 4 is Google's new model family including including E2B, E4B, 26B-A4B, and 31B. • 36 items • Updated 3 days ago • 210
NVIDIA Nemotron v3 Collection Open, Production-ready Enterprise Models • 23 items • Updated 1 day ago • 319
Open LLM Leaderboard best models ❤️🔥 Collection A daily uploaded list of models with best evaluations on the LLM leaderboard: • 50 items • Updated Mar 13 • 690
The Big Benchmarks Collection Collection Gathering benchmark spaces on the hub (beyond the Open LLM Leaderboard) • 13 items • Updated Nov 18, 2024 • 266
MARS: Modular Agent with Reflective Search for Automated AI Research Paper • 2602.02660 • Published Feb 2 • 67
Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention Paper • 2602.03338 • Published Feb 3 • 26