GraphRAG auto-tuning provides rapid adaptation to new domains
GraphRAG uses LLM-generated knowledge graphs to substantially improve complex Q&A over retrieval-augmented generation (RAG). Discover automatic tuning of GraphRAG for new datasets, making it more accurate and relevant.
rStar
A self-play mutual reasoning approach that significantly improves reasoning capabilities of small language models (SLMs) without fine-tuning or superior models. rStar decouples reasoning into a self-play mutual generation-discrimination process.
Fostering appropriate reliance on AI
Mihaela Vorvoreanu, Director UX Research and Responsible AI Education, Microsoft Aether, discusses reliance on AI. Because of their probabilistic nature, all AI systems will make mistakes. One of the main challenges in human-AI interaction is…
A generative model of biology for in-silico experimentation and discovery
Kevin Yang, Senior Researcher, Microsoft Research New England, shares how deep learning is enabling us to generate novel and useful biomolecules, allowing researchers and practitioners to better understand biology.