Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Project
Auto-Tuning of Copilot Prompts
AI-agent-based tool for tuning and optimizing system prompts, and particularly those of Microsoft Copilot offerings. It is used to replace manual adaptation of prompts — requiring extensive human labor — in scenarios such as when…
Microsoft Research Blog
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.
Tool
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.
Video
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…
