[New article]: ML.NET 3.0 docs and examples

[ ] Creating how-to guides / samples that use ML.Tokenizers (even something as simple as what's in the release notes would be a good start).
[ ] Add migration guide for other libraries - machinelearning/docs/code/microsoft-ml-tokenizers-migration-guide.md
[ ] Showing examples of how you might use TensorPrimitives in AI / ML worklflows - luisquintanilla/OpenAIAutoMLNET: .NET Console app that shows how to train a regression model to predict the star review using ML.NET AutoML and Azure OpenAI service embeddings for fine food reviews
[ ] Freshness. We've introduced new scenarios that we don't have listed in our list of scenarios. There's opportunities for tutorials for these scenarios of which we have none today.
- What is Model Builder and how does it work? - ML.NET | Microsoft Learn
- https://devblogs.microsoft.com/dotnet/announcing-ml-net-3-0/#deep-learning

dotnet / docs