New quickstarts are now available to help you get started with .NET and AI development.
Learn how to get started managing embedding vectors for search and Retrieval Augmented Generation (RAG) scenarios using the Milvus vector database with .NET.
Thank you for all the wonderful submissions, and now we've picked the best of the best for the winners of the Great .NET 8 Hack!
New to .NET? We know there is a lot to explore – so join our Technical Program managers as they cover all of .NET 8 through this brand new beginners video series and take .NET one step at a time.
Learn how you can build intelligent apps and unleash the full potential of AI in your .NET applications using ChatGPT.
Object detection using local environments is now available in ML.NET Model Builder to help you solve computer vision problems using machine learning.
Learn what ChatGPT is and how you can get started using GPT models in conversations with Azure OpenAI service and .NET
Learn what prompt engineering is and how to use it to improve the quality of your GPT completions.
Building on Visual Studio’s robust IntelliCode experience for .NET, we’re excited to introduce NuGet IntelliCode Package Suggestions in Visual Studio 16.10! IntelliCode Package Suggestions use your project’s context, such as installed packages and project type, to suggest packages to enhance your workflow! IntelliCode AI-assistance has become an i...
This post will show you how to train a custom image classification model in Azure to categorize flowers using ML.NET Model Builder. Then, you can leverage your existing .NET skills to consume the trained model inside a C# .NET Core console application. Best of all, little to no prior machine learning knowledge is required.
