Showing archive results for February 2026

Feb 27, 2026
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Engineering and algorithmic interventions for multimodal post-training at Microsoft scale

Aditya Challapally
Aditya Challapally

Aditya Challapally leads post-training research and infrastructure for Copilot agent capabilities that process millions of multimodal interactions. This post builds on the diagnostics from Diagnosing instability in production-scale agent reinforcement learning with the engineering and algorithmic interventions we developed to get the best results ...

AIEngineering@Microsoft
Feb 11, 2026
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How we built the Microsoft Learn MCP Server

Tianqi Zhang Eric Imasogie Pieter de Bruin
Tianqi,
Eric,
Pieter

When we launched the Microsoft Learn Model Context Protocol (MCP) Server in June 2025, our goal was simple: make it effortless for AI agents to use trusted, up-to-date Microsoft Learn documentation. GitHub Copilot and other agents are increasingly common, and they need to be able to ground responses just like humans with browsers do. Learn MCP Serv...

Engineering@Microsoft