Building an AI-powered LLM Chat (+ history) in .NET

Summary

This transcript explains how to implement a conversational experience with a large language model by maintaining chat history. Key elements include using a list to store messages, adding user prompts, and leveraging a chat client abstraction with a streaming API for auto-completion, similar to ChatGPT. The practical takeaway is to continuously add model completions to the history within a loop to sustain an ongoing conversation with the language model.