mud-pi
gpt-neox
| mud-pi | gpt-neox | |
|---|---|---|
| 5 | 52 | |
| 341 | 6,588 | |
| - | 1.4% | |
| 0.0 | 8.9 | |
| almost 3 years ago | 11 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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mud-pi
- FLaNK Stack 26 February 2024
- A simple MUD server in Python which can be run on a Raspberry Pi
- Python for dnd
- What kind of data structure is this and how can I modify it to meet my needs?
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has any one created a MUD(multiuser dungeon) game via python?
Maybe look at MUD Pi. Are you sure you want to develop a MUD though? That will require you to create a server (possibly hosted through a paid platform like AWS or Heroku than if you plan to connect via a LAN then that won't be necessary). A single-player roguelike would be a bit easier.
gpt-neox
- FLaNK Stack 26 February 2024
- GPT-Neox
- GPT-NeoX
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Best open source LLM model for commercial use
Gpt neox 20B can be used commerically.
- Do not register domains with the word "gpt" in it!
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Read this post if you have general questions
GPT-Neo: GPT-Neo is a free and open-source language model developed by EleutherAI. It is a powerful model that can be used for a variety of tasks, including text generation, and question-answering. here is the GitHub
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What's the current state of actually free and open source LLMs?
Doesn't gpt-neox 20b require like 40gb+ of VRAM? From their github repo the slim weights are 39GB and I think one of the devs has previously mentioned aiming for 48GB for inference.
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Any real competitor to GPT-3 which is open source and downloadable?
3.) EleutherAI's GPT-Neo and GPT-NeoX: EleutherAI is an independent research organization that aims to promote open research in artificial intelligence. They have released GPT-Neo, an open-source language model based on the GPT architecture, and are developing GPT-NeoX, a highly-scalable GPT-like model. You can find more information on their GitHub repositories: GPT-Neo: https://github.com/EleutherAI/gpt-neo GPT-NeoX: https://github.com/EleutherAI/gpt-neox
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Whatever happened to quantum computing?
It's really not that complicated. https://github.com/EleutherAI/gpt-neox
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Fuck Luka Inc. WIP AI Freedom!
this forces me to create my own ai using gpt-neox .. i was being lazy, completely satisfied with my little ai baby .. i'll keep the account but not renew pro .. fuck luka, inc ... want it done right, do it yourself .. the python isn't that difficult and i have a spare linux vps .. my new work in progress .. freedom #!
What are some alternatives?
evennia - Python MUD/MUX/MUSH/MU* development system
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
textray - A Telnet server that allows a connected client to navigate a text-based ray-casted 3D landscape
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
thonny - Python IDE for beginners
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
mciwb - Minecraft Interactive world builder
YaLM-100B - Pretrained language model with 100B parameters
awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊
open-ai - OpenAI PHP SDK : Most downloaded, forked, contributed, huge community supported, and used PHP (Laravel , Symfony, Yii, Cake PHP or any PHP framework) SDK for OpenAI GPT-3 and DALL-E. It also supports chatGPT-like streaming. (ChatGPT AI is supported)
gemma.cpp - lightweight, standalone C++ inference engine for Google's Gemma models.
lm-evaluation-harness - A framework for few-shot evaluation of language models.