Hackathon: GPT4-x-Alpaca Part 2: Creating a MUD with Evennia

Hackathon: GPT4-x-Alpaca Part 2: Creating a MUD with Evennia
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.
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Hackathon: GPT4-x-Alpaca Part 1: Oobabooga and LLaMa.cpp

Hackathon: GPT4-x-Alpaca Part 1: Oobabooga and LLaMa.cpp
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.
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