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Book Overview & Buying
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Table Of Contents
Practical C# Projects with .NET
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Now that we've covered the process of how we build things and the various platforms things can be built on using .NET, it's time to add some AI spice to the mix by seeing how modern .NET supports a wealth of artificial intelligence and data science applications- including those that target free large language models running locally on your machine.
We'll start with the basics by introducing Ollama as a local model provider and Microsoft.Extensions.AI as an abstraction layer that helps us write code that can work successfully with a variety of different model providers.
After that we'll move into Microsoft Agent Framework, tools, and retireval augmentation generation (RAG) and see how agent framework enables you to build more advanced applications that can answer user questions with external data and capabilities.
Next we'll explore Model Context Protocol (MCP), discuss what MCP servers are, how you create...