Devis Lucato
fe0be192ab
Improve the main readme, supporting both users willing to clone and run samples, developers looking to create a new app using the nuget package, and contributors looking for ways to participate. Added additional technical docs, explaining some important concepts and touching on various aspects of the project, e.g. architecture and nomenclature.
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Glossary ✍
To wrap your mind around the concepts we present throughout the kernel, here is a glossary of commonly used terms
Semantic Kernel (SK) - The orchestrator that fulfills a user's ASK with SK's available SKILLS.
Ask - What a user requests to the Semantic Kernel to help achieve the user's goal.
- "We make ASKs to the SK"
Skill - A domain-specific collection made available to the SK as a group of finely-tuned functions.
- "We have a SKILL for using Office better"
Function - A computational machine comprised of Semantic AI and/or native code that's available in a SKILL.
- "The Office SKILL has many FUNCTIONs"
Native Function - expressed with traditional computing language (C#, Python, Typescript) and easily integrates with SK
Semantic Function - expressed in natural language in a text file "skprompt.txt" using SK's Prompt Template language. Each semantic function is defined by a unique prompt template file, developed using modern prompt engineering techniques.
Memory - a collection of semantic knowledge, based on facts, events, documents, indexed with embeddings.
The kernel is designed to encourage function composition, allowing users to combine multiple functions (native and semantic) into a single pipeline.
