[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](https://github.com/dotnet/machinelearning/blob/main/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](https://github.com/luisquintanilla/OpenAIAutoMLNET)
- [ ] 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://learn.microsoft.com/en-us/dotnet/machine-learning/automate-training-with-model-builder#scenario)
- https://devblogs.microsoft.com/dotnet/announcing-ml-net-3-0/#deep-learning

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[Associated WorkItem - 206384](https://dev.azure.com/msft-skilling/Content/_workitems/edit/206384)