AIDungeon VS pyenv

I have a GPT-Neo AI-Dungeon game in my host. Don't know how to take that to do the same project as yours. But would be interesting. https://github.com/Latitude-Archives/AIDungeon

Its fine-tuning training data is here and it is in the form of choose your own adventures. Programs involving text parsing couldn't be used as training data because it requires the player to type something in.

For what it's worth, the code for the original version of AI Dungeon can be found on the AI Dungeon Github page. If the language stats at the bottom of the page are accurate, then it would seem that, at the very least, the original version of AI Dungeon was primarily written in Python. This is the only info I could find relating to what programming language was used for AID.

Is there a new version of this (or does anyone have a ZIP I could download)? The most recent version here (https://github.com/Latitude-Archives/AIDungeon) is completely broken for python 3.9, tensorflow 2.6, and with my computer's OS (ubuntu 21). It also only includes a .torrent but I have no idea how to make that into the json model.

Its open source, so you can go and look for yourself to see exactly how it was done: https://github.com/Latitude-Archives/AIDungeon

Well, the base GPT-3 model, made by OpenAI, was just scraped text data from all around the internet. GPT-3 was trained on more text than what any person could realistically read in their lifetime. I'm pretty sure that even OpenAI, themselves, don't really know what exactly the AI was trained with. As for Latitude, they finetuned their models on a 30MB dataset, which you can download and look at here. Their finetuning dataset consists of a total of about 90 CYOA games from the website, ChooseYourStory.

Warning NSFW/NSFL AID training material

AI Dungeon's "Censored Words"

If you have a requirement for multiple, specific Python versions, why not just use pyenv?

https://github.com/pyenv/pyenv

For more information visit: pyenv repository

Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.

Python version manager pyenv

First of all, install the Python virtual environment from these links: 1 and 2. I developed my GPT-based API in Python version 3.8.18. Pick any Python versions >= 3.7.

Note: Most modern systems will probably have a system environment that meets this requirement, but if yours does not or if you prefer not to install anything in your system environment (even if it's just PDM) check out asdf or pyenv to help install and manage additional Python environments.

When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.

For Python, with your use case I would avoid system packages, no matter the distro. It sounds like it would be worth setting up pyenv and working exclusively with virtual environments.

For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.