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1. dotnet.microsoft.com › en-us › apps.NET artificial intelligence & machine learning

   dotnet.microsoft.com › en-us › apps

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   Start your AI development with .NET through this video series, from AI basics to advanced machine learning with ML.NET. Learn to integrate generative AI using OpenAI models like ChatGPT, enhance responses with prompt engineering, and utilize ChatGPT for data interaction.

   • Develop .NET applications with AI features - .NET | Microsoft Learn

     Here are a few examples of solutions you can build using AI...

   • Building Generative AI apps with .NET 8 - .NET Blog

     As a highly extensible SDK, you can use Semantic Kernel to...

   • ML.NET | Machine learning made for .NET

     With ML.NET, you can create custom ML models using C# or F#...

   • Get started with .NET 8 and AI using new quickstart tutorials

     If you’ve been thinking of infusing your existing .NET apps...

2. learn.microsoft.com › en-us › dotnetDevelop .NET applications with AI features - .NET | Microsoft...

   learn.microsoft.com › en-us › dotnet

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   30 lip 2024 · Here are a few examples of solutions you can build using AI in your .NET applications: Language processing: Create virtual agents / chatbots to talk with your data and generate content and images. Computer vision: Identify objects in an object or video.

3. devblogs.microsoft.com › dotnet › build-gen-ai-with-dotnet-8Building Generative AI apps with .NET 8 - .NET Blog

   devblogs.microsoft.com › dotnet › build-gen-ai-with-dotnet-8

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   11 cze 2024 · Learn how to create amazing applications that integrate language models using .NET 8 and Semantic Kernel. Explore samples, libraries, documentation, and tools for .NET and AI development.

4. learn.microsoft.com › en-us › dotnetQuickstart - Build an AI chat app with .NET - .NET | Microsoft...

   learn.microsoft.com › en-us › dotnet

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   9 sie 2024 · Get started with OpenAI and Semantic Kernel by creating a simple .NET 8 console chat application. The application will run locally and connect to the OpenAI gpt-35-turbo model deployed into Azure OpenAI. Follow these steps to provision Azure OpenAI and learn how to use Semantic Kernel.

5. dotnet.microsoft.com › en-us › appsML.NET | Machine learning made for .NET

   dotnet.microsoft.com › en-us › apps

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   With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps.

6. github.com › dotnet › ai-samplesGitHub - dotnet/ai-samples

   github.com › dotnet › ai-samples

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   Discover how to bring AI into your .NET application! This session covers the tools, libraries, and best practices for incorporating LLMs or other AI capabilities to create an "intelligent app". We'll explore practical examples, including how to leverage Azure AI services and the .NET AI ecosystem, to enhance your apps with AI.

7. devblogs.microsoft.com › dotnet › get-started-with-dotnet-ai-quickstartsGet started with .NET 8 and AI using new quickstart tutorials

   devblogs.microsoft.com › dotnet › get-started-with-dotnet-ai-quickstarts

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   13 mar 2024 · If you’ve been thinking of infusing your existing .NET apps with generative AI & Large Language Models (LLMs), now is a great time to dive in and we have new quickstarts to help you out. Get hands on and learn AI using new .NET quickstarts