Discover the new AI Dev Gallery, a Windows application that provides interactive local AI samples, easy model downloads, and source code export - all built with .NET AI building blocks.
Harness the power of Phi-3 SLMs and ONNX for AI-driven .NET applications, showcasing C# integration for advanced tasks like image analysis and interactive Q&A.
Learn what completions are and how to use the Azure .NET SDK to generate them using OpenAI.
Learn how to get started using OpenAI models like GPT with .NET and the Azure SDK
Announcing the release of hundreds of new distributed machine learning models and capabilities for .NET as part of the SynapseML distributed ML library.
Learn how to create a training pipeline for ML.NET using Azure ML and Azure Devops.
Check out what's new in ML.NET and Model Builder.
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...
Take the ML.NET survey to let us know what you want to see next for Machine Learning in .NET.
This release of ML.NET and Model Builder brings numerous bug fixes and enhancements as well as new features, including config-based training and a redesigned Consume step.
