Semantic Kernel (SK) is a lightweight SDK that lets you easily mix conventional programming languages with Large Language Model (LLM) AI “prompts”. In this talk, you will learn:

What is Semantic Kernel and its main components
How to use Semantic Kernel with OpenAI or Azure OpenAI API
How to create complex skills with prompt templating and function chaining
How to use vectorized memory and intelligent planning
How to use ready-to-use skills or create your own skills for various applications
By the end of this talk, you will know how to build AI-first apps faster and more easily with Semantic Kernel and LLMs.