In this tutorial, we will dive into the fascinating world of Semantic Kernel and explore how to seamlessly integrate our custom functions into AI applications. Whether you’re a developer, data scientist, or just curious about the intersection of language models and native code, this tutorial is for you!
📌 Key Points Covered:
Why Create Functions for Your AI?
Large language models excel at generating text, but there are tasks they can’t handle alone. I'll discuss scenarios where native functions shine, such as retrieving data from external sources, performing complex math, and interacting with the real world.
Creating Your Native Functions:
- Set up a new folder for your plugins
- Dive into the creation of your own plugin to demonstrate the required operations
- Implement functions as required
Running Your Native Functions:
I'll also highlight, how Semantic Kernel utilizes KernelFunctions to invoke our custom functions.
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