S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with minimal data.

New research from Meta reveals AI models achieve 34.5% better accuracy with shorter reasoning chains, challenging industry assumptions and potentially reducing computing costs by 40%.

Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

Microsoft's recent release of Phi-4-reasoning challenges a key assumption in building artificial intelligence systems capable ...

When it comes to real-time AI-driven applications like self-driving cars or healthcare monitoring, even an extra second to ...

Learning to Select, Track, and Generate for Data-to-Text ACL2019 2,705/532/497 14 Official 8 MLB Baseball Data-to-text Generation with Entity Modeling ACL2019 22,821/1,739/1,744 27 Official 9 WikiBio ...