Semantic Kernel (SK) is a lightweight SDK that lets you easily mix conventional programming languages with the latest in Large Language Model (LLM) AI "prompts" with templating, chaining, and planning capabilities out-of-the-box.
| Journey | Short Description |
|---|---|
| ASK | A user's goal |
| Kernel | Orchestrator |
| Planner | Planner breaks ASK down into steps based upon available resources |
| Resources | Available skills, memories, and connectors |
| Steps | Series of steps for the kernel to execute |
| Pipeline | Executing the steps results in fulfilling the user's ASK |
| GET | And the user gets what they asked for ... |
What is an example of an ASK and each of the other components?
https://learn.microsoft.com/en-us/semantic-kernel/howto/schillacelaws
https://learn.microsoft.com/en-us/semantic-kernel/
Samples https://github.com/microsoft/semantic-kernel/tree/main/samples
Large Language Model AI
Overview
Models
Prompts
Tokens
Embeddings
Semantic Kernel Concepts
Overview
Kernel
Planner
Skills
Connectors
Building Skills
Overview
Semantic Functions
Native Functions
Core Skills