Microsoft Semantic Kernel (SK) is a new technology that enables the integration of AI Large Language Models (LLMs) with conventional programming languages.
SK is a powerful system that brings together several key components to provide planning and execution capabilities. These components include ASK (Active Semantic Knowledge) for understanding the user’s goals and context, GET (Goal Execution Technology) for creating and executing plans, and a robust Kernel that provides the foundation for all other components. SK also includes Skills for performing specific tasks, Connectors for interfacing with external systems, Memories for storing information about past events, Steps for defining individual actions, and Pipelines for organizing complex multi-stage plans.
We will explore several use-cases using multi-modal prompts and show how SK can be used to create and execute complex plans using a combination of natural language and conventional programming language like C#.