From Distillation to Reinforcement Fine-Tuning: Hill-Climbing in Microsoft Foundry
Improving a deployable model package one measured step at a time across quality, latency and cost—comparing SFT distillation with reinforcement fine-tuning.
Articles I have published on the Microsoft Foundry Blog on Microsoft Tech Community—hands-on architectures for agentic AI, MCP integration, computer-use agents, real-time voice agents and model fine-tuning. 16 articles and 30,000+ reads.
Improving a deployable model package one measured step at a time across quality, latency and cost—comparing SFT distillation with reinforcement fine-tuning.
Building agents that track work across days or weeks—keeping state so long-running business processes actually reach closure.
Speech-to-speech AI avatars built on the newly GA Azure Voice Live API.
An end-to-end voice agent covering product search, order management, automated shipment creation and analytics.
Combining Computer Use Agent models with PyAutoGUI to drive fully autonomous VS Code workflows.
Procure-to-Pay anomaly detection with Azure AI Foundry Agent Service—analysing invoice images for procurement anomalies and compliance.
A fashion-trends discovery scenario combining Computer Use models with Playwright browser automation and MCP.
Connecting Azure AI Agent Service to Model Context Protocol servers for dynamic tool discovery—before turnkey support existed.
Solution architecture for P2P automation using the Computer Use Agent model and the Responses API.
Turning an error-prone, manual Procure-to-Pay process into an agentic workflow with the Responses API.
Multi-agent collaboration with AutoGen to generate monthly sales-performance reports from cloud-stored data.
Why integrated vector databases change the game for semantic and vector search behind AI assistants.
What Azure AI Agent Service adds beyond the Assistants API—state management, automated tool actions and more.
Connecting to the Realtime API and handling audio conversations, text conversations and tool calling.
Building an assistant on the gpt-4o Audio-Preview API—and how it differs from the Realtime API.
Multimodal search across video content—from training material to safety monitoring—with Azure Video Retrieval.