In part 1 of the hackathon I participated in at work, I set up the GPT4-x-Alpaca LLM with Oobabooga in an AWS EC2 instance. Next up in my hackathon journey was an attempt to make the LLM do something useful and fun. I’ve been casually interested in creating a Multi-User Dungeon or MUD for short. So for part 2 of the hackathon, I dug into the documentation for Evennia, a Python-based MUD game engine.
Ever since ChatGPT hit the scene, it seems to be all that anyone is talking about. I participated in a hackathon at work last week and was able to spend some time playing around with Large Language Models (LLM for short). Specifically, I was looking for something that could be hosted locally and did not communicate with the internet. ChatGPT is great and really useful, but most companies are not eager to share their private documentation or proprietary code in a public AI chatbot.
When I attended AWS re:Invent at the end of 2019, I attended a workshop for using machine learning via Amazon SageMaker to teach an AI how to play blackjack. Seeing as re:Invent was held in Vegas, I decided to take the spirit of Vegas home with me and create my own text-based blackjack game in Go. I added a simple interface so it would be easy to create different AI opponents.