What's New in Microsoft Foundry Fine-Tuning | April 2026 | Microsoft Foundry Blog
April 2026 brings three major Reinforcement Fine-Tuning updates: Global Training for o4-mini with lower per-token rates across 12+ regions, new GPT-4.1 model graders for richer reward signals, and a comprehensive RFT best practices guide to help you ship specialized models faster.
What's new in Microsoft Foundry | March 2026 | Microsoft Foundry Blog
Microsoft Foundry's March 2026 updates: Agent Service GA, GPT-5.4, GPT-5.4 Mini, Priority Processing, Phi-4 Vision, SDK 2.0 GA, and new evaluations
Foundry Local is now Generally Available | Microsoft Foundry Blog
Ship local AI to millions of devices - fast, private on-device inference with no per-token costs.
Foundry Agent Service is GA: private networking, Voice Live, and enterprise-grade evaluations | Microsoft Foundry Blog
Explore the Microsoft Foundry Agent Service for seamless production AI deployment with enhanced networking and compliance features.
What's new in Microsoft Foundry | February 2026 | Microsoft Foundry Blog
Explore Microsoft Foundry February 2026 featuring Claude Opus and Sonnet models for advanced reasoning and efficiency.
Microsoft Agent Framework Reaches Release Candidate | Microsoft Foundry Blog
Microsoft Agent Framework is now at Release Candidate. A stable, open‑source foundation for building single and multi‑agent systems across .NET and Python—on the path to GA.
What's new in Microsoft Foundry | Dec 2025 & Jan 2026 | Microsoft Foundry Blog
Microsoft Foundry Dec 2025-Jan 2026 update: GPT-5.2 & Codex Max now GA, new reasoning models, agent memory in preview, MCP server, and major SDK consolidation.
DPO Fine-Tuning Using Microsoft Foundry SDK | Microsoft Foundry Blog
In the rapidly evolving landscape of large language models (LLMs), achieving precise control over model behavior while maintaining quality has become a critical challenge. While models like GPT-4 demonstrate impressive capabilities, ensuring their outputs align with human preferences—whether for safety, helpfulness, or style—requires sophisticated fine-tuning techniques. Direct Preference Optimization (DPO) represents a breakthrough approach that […]
Beyond the Prompt - Why and How to Fine-tune Your Own Models | Microsoft Foundry Blog
Large Language Models (LLMs) have reached a point where general intelligence is no longer the bottleneck. The real challenge in enterprise AI systems behavioral alignment ensuring models that produce consistent, reliable, policy-compliant outputs on a scale. Prompt engineering and Retrieval-Augmented Generation (RAG) are powerful but they do not change model behavior. Fine-tuning will solve this […]
Building an AI Skills Executor in .NET: Bringing Anthropic's Agent Pattern to the Microsoft Ecosystem | Microsoft Foundry Blog
Learn how to build a reusable AI Skills Executor in .NET using Azure OpenAI and the Model Context Protocol to standardize enterprise agent workflows.
Brandon H 
