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A Lightweight SDK for Integrating AI Models and Plugins

Ben Lorica

Alex Chao on Semantic Kernel, a simple and powerful open source tool for integrating AI into applications.


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Alex Chao is a Product Manager at Microsoft focused on Semantic Kernel, an open-source AI and LLM orchestrator. Semantic Kernel (SK) is a lightweight SDK that makes it easy to integrate AI models and plugins into applications. SK has a simple programming model that facilitates the seamless combination of AI models and plugins to craft new user experiences. SK also has connectors that allow easy addition of memories and models, and its ability to integrate plugins extends the capability of apps. SK has been successfully used for tasks such as enabling chats over proprietary data and building AI agents to accomplish specific tasks.

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Alex Chao will be speaking at the AI Conference in San Francisco (Sep 26-27). Use the discount code FriendsofBen18 to save 18% on your registration.

Interview highlights – key sections from the video version:

  1. Semantic Kernel – Origin Story
  2. Semantic Kernel (SK): high-level architecture
  3. Current integrations
  4. Support for C#, Python, and other languages
  5. Orchestration for LLMs
  6. Documentation
  7. Microsoft’s commitment to SK
  8. LLM and other models supported
  9. Who is contributing to SK?
  10. Popular SK use cases
  11. How to contribute to SK
  12. Advice to people who want to transition from data scientist to product manager

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