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2026 (3)

March (1)

dotnet: Generative AI for Beginners .NET: Version 2 on .NET 10

.NET

2026-03-23

Microsoft announced Version 2 of Generative AI for Beginners .NET, a free course rebuilt for .NET 10. It adds Microsoft.Extensions.AI, updated RAG patterns, and new agent framework content across five lessons focused on production-ready AI apps.

February (2)

dotnet: Vector Data in .NET – Building Blocks for AI Part 2

.NET

2026-02-26

Microsoft describes Microsoft.Extensions.VectorData as a .NET library that standardizes access to vector databases for semantic search scenarios.

ai: Beyond the Prompt – Why and How to Fine-tune Your Own Models

Microsoft AI Foundry Blog

2026-02-11

Microsoft Foundry argues that enterprise LLM deployments often need behavior-level alignment (consistency, reliability, policy compliance) that prompt engineering and RAG cannot provide, positioning fine-tuning as the mechanism to change model behavior.

2025 (2)

December (1)

ai: Foundry IQ in Microsoft Agent Framework

Microsoft AI Foundry Blog

2025-12-07

Foundry IQ Knowledge Bases can be integrated into the Microsoft Agent Framework in about 20 lines of Python. The Azure AI Search Context Provider enables intelligent, multi-hop retrieval so agents can use consolidated knowledge without fragmented pipelines.

November (1)

ai: How to debug and optimize RAG agents in Microsoft Foundry

Microsoft AI Foundry Blog

2025-11-20

This tutorial shows how to evaluate and optimize retrieval-augmented generation (RAG) agents in Microsoft Foundry using Foundry Observability. It recommends running end-to-end, reference-free RAG triad evaluators (Groundedness and Relevance) and applying advanced search and retrieval tuning before deployment.