In order to build AI application with .NET, we have three options the first one is using Gemerative AI with .NET, AI Services in .NET, and Machine Learning with .NET.

Generative AI with .NET:
- Generative AI allows us to create novel content, such as text, images, or music, using machine learning models. Within the .NET ecosystem, developers can harness this power to craft cutting-edge applications.
- Thanks to .NET's support for Azure AI and OpenAI services, integrating prebuilt AI models becomes effortless. These models drive experiences like Microsoft Copilot, Bing Chat, and ChatGPT.
- If you're curious about how to get started, check out the Generative AI with .NET for Beginners video series. It covers everything from AI basics to advanced machine learning using ML.NET and OpenAI models like ChatGPT. You'll learn prompt engineering, data interaction, and more! Explore the series at aka.ms/dotnet-ai-beginner.
AI Services in .NET:
- Enhance your .NET applications by seamlessly integrating intelligent features. Leverage pre-built AI models for tasks like:
  - Emotion and sentiment detection
  - Vision and speech recognition
  - Language understanding
  - Knowledge
  - Intelligent search
- These services are readily available, and you can incorporate them using Azure Developer CLI templates. These templates serve as practical guides, demonstrating how to integrate complex AI functionalities into your applications.
Machine Learning with .NET:
- With ML.NET, a free, open-source, cross-platform machine learning framework designed specifically for .NET developers, you can create and integrate custom machine learning models into your applications.
- Alternatively, explore Azure Machine Learning, a fully-managed cloud service that simplifies building, deploying, and sharing predictive analytics solutions.
- If you're keen on using a succinct and robust language for data science and machine learning, give F# a try!

You can get started in .NET artificial intelligence & machine learning (microsoft.com)

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