Content by Jeremy Likness (5)

Jeremy Likness shows how the Microsoft Agent Framework (v1.0) builds on Microsoft.Extensions.AI to create autonomous, tool-using AI agents in .NET, including multi-turn sessions, memory via context providers, and graph-based workflows for orchestrating multiple agents.

Jeremy Likness explores unified vector database access in .NET using Microsoft.Extensions.VectorData, showing how to implement semantic search and RAG with embeddings in C# applications.

Jeremy Likness explains core AI building blocks in .NET for developers, highlighting how Microsoft.Extensions.AI provides unified LLM access, structured outputs, and practical middleware for robust intelligent app development.

Jeremy Likness introduces .NET developers to the essentials of generative AI with large language models, focusing on C# and the evolving Microsoft platform ecosystem.

Jeremy Likness introduces developers to text-to-image features in .NET using Microsoft's AI abstractions, covering practical usage examples and best practices for leveraging MEAI's consistent API approach.