.NET Rocks!

By: Carl Franklin
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  • Summary

  • .NET Rocks! is an Internet Audio Talk Show for Microsoft .NET Developers.
    Copyright Carl Franklin
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Episodes
  • Audio-Video in .NET with Elias Puurunen

    Audio-Video in .NET with Elias Puurunen
    Apr 16 2025
    Can you integrate performant audio-video into your .NET application? Carl and Richard talk to Elias Puurunen about his work at Tractus Events, where he uses the NDI protocols to bring real-time audio and video streams into his C# application. Elias talks about the power of P/Invoke to access the underlying libraries for controlling video streams, including utilizing NVidia GPUs for extremely fast encoding and decoding. You could write this code in C++, but why?
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    1 hr and 6 mins
  • Agentic AI in .NET with Spencer Schneidenbach

    Agentic AI in .NET with Spencer Schneidenbach
    Apr 10 2025
    Ready to build an agentic AI in .NET? Carl and Richard talk to Spencer Schneidenbach about his work using large language models to enhance customer interactions in healthcare. Spencer discusses using the LLMs to summarize customer conversations to identify topic areas, sentiment, and other concerns. He digs into how Microsoft's Semantic Kernel makes connecting an OpenAI model to your APIs easy, fetching information and creating a context for testing reliability and consistency with these models. Check out the links for some great tools to help make your AI apps with .NET!
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    56 mins
  • Measuring LLMs with Jodie Burchell

    Measuring LLMs with Jodie Burchell
    Apr 3 2025
    How do you measure the quality of a large language model? Carl and Richard talk to Dr. Jodie Burchell about her work measuring large language models for accuracy, reliability, and consistency. Jodie talks about the variety of benchmarks that exist for LLMs and the problems they have. A broader conversation about quality digs into the idea that LLMs should be targeted to the particular topic area they are being used for - often, smaller is better! Building a good test suite for your LLM is challenging but can increase your confidence that the tool will work as expected.
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    1 hr and 1 min

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