The Semantic Kernel framework is a powerful tool that allows users to leverage large language models to transform, analyze, or generate content based on custom-defined prompts. It's particularly useful for domain-specific transformations, complex content analyses, or any other application where a generic predefined language model doesn't suffice.
Plugins in the Semantic Kernel framework are essentially predefined templates or prompts that instruct the underlying language model to perform specific tasks. These can range from content translation to perception analysis, summarization, and more.