The Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.

In this video, I share a little bit about the history and motivations behind why the Semantic Kernel exists and do a high-level overview of the design for the kernel.

Stay tuned for the next video where we walk through code and examples!

And watch the playlist for more SK content!
   • Semantic Kernel  

Check out the Semantic Kernel Github repository.
https://github.com/microsoft/semantic...

Join the conversation on Discord!
https://aka.ms/SKDiscord

And take a free LinkedIn Learning course and get SK certified!
  / introducing-semantic-kernel  

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