Semantic Kernel 101: Part 2.

This article is the second part of a series on Semantic Kernel (SK), Microsoft's framework for working with LLMs. It provides code snippets and instructions for creating prompts and executing them against a GPT-4 Large Language Model. The article demonstrates how to load pre-engineered prompts and associated settings from disk, as well as how to execute C# code alongside semantic code. It also shows an example of chaining functions together and discusses future topics to be covered in the next article. The article aims to provide hands-on guidance for library patrons interested in AI programming with Semantic Kernel. [Extracted from the article]