view article Article NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval nvidia • 9 days ago • 56
Nemotron 3 Embed Collection Open embedding models for enterprise RAG, agentic retrieval, code search, and agent memory. • 3 items • Updated 8 days ago • 30
view article Article Distillation in 2026 (so far): which frontier models use it and how sergiopaniego • 17 days ago • 18
SWE-FastContext Collection A family of code-search models powering the Explore subagent for coding agents.(It will be made public later) • 3 items • Updated 25 days ago • 18
Nemotron-Post-Training-v3 Collection Collection of datasets used in the post-training phase of Nemotron Nano, Super, and Ultra v3. • 50 items • Updated 8 days ago • 181
LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis Paper • 2605.30434 • Published May 28 • 23
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation Paper • 2605.31264 • Published May 29 • 124
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning Paper • 2605.28424 • Published May 27 • 32
Granite Speech Collection Multilingual ASR and speech-to-text (STT) models for enterprise transcription and translation. • 8 items • Updated 18 days ago • 34
Granite Embedding Collection Embedding models (bi‑encoders and rerankers) for RAG, semantic search, and retrieval tasks. • 9 items • Updated 18 days ago • 47
Retrieval from Within: An Intrinsic Capability of Attention-Based Models Paper • 2605.05806 • Published May 8 • 8
Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training Paper • 2605.09608 • Published May 10 • 53
Granite 4.1 Language Models Collection Efficient language models for multilingual generation, coding, RAG, and AI assistant workflows. • 6 items • Updated Apr 29 • 63