Building an AI chatbot for beginners: part 2

[Note that this series kind of dried up; when I started the series, I knew that I knew very little about the subject, but I was hoping to learn better by learning in public. However, as time went by it turned out that this wasn't working. There are a lot of better tutorials out there!]

Welcome to the second part of my tutorial on how to build a chatbot using OpenAI's interface to their Large Language Models (LLMs)! You can read the introduction here, and the first part here. As a reminder, I'm writing this not because I'm an expert, but because I'm learning how to do it myself, and writing about it helps me learn faster. Caveat lector :-)

In this post, we'll give the bot some memory of the conversation so far.

At the end of the first part, we had a program that would accept input from a user, combine it with some static text to make a prompt that an LLM would complete in the character of a chatbot (stopping at the point that the chatbot should stop, and not trying to carry on the conversation), then send it to OpenAI's API specifying an LLM model, and print out the result.

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