ChatGPT.el
ChatGPT in Emacs (by joshcho)
metaseq
Repo for external large-scale work (by facebookresearch)
| ChatGPT.el | metaseq | |
|---|---|---|
| 14 | 53 | |
| 397 | 6,388 | |
| - | 0.4% | |
| 6.9 | 1.0 | |
| 6 months ago | 15 days ago | |
| Emacs Lisp | Python | |
| GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ChatGPT.el
Posts with mentions or reviews of ChatGPT.el.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-30.
- Emacs-copilot: Large language model code completion for Emacs
-
JetBrains IDE update previews “deeply integrated” AI Assistant
I presume it's this? https://github.com/joshcho/ChatGPT.el
-
What's everyone using for grammar checks?
Chatgpt, use one of the many emacs chatgpt packages, send the content to chatgpt with something as simple as: fix grammar, example https://github.com/d1egoaz/c3po.el#correct-grammar-and-show-detailed-changes-in-a-diff-buffer https://github.com/joshcho/ChatGPT.el etc
- Suggest a gpt plugin for me
- A ChatGPT Emacs Shell
- ChatGPT in Emacs
- Show HN: Neovim Plugin for ChatGPT
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Show HN: ChatGPT-arcana.el, ChatGPT in your Emacs
There's also https://github.com/joshcho/ChatGPT.el but it hasn't been updated yet to use the API that came out yesterday.
- I Made a ChatGPT Client For Emacs - AND SO CAN YOU!
- ChatGPT.el
metaseq
Posts with mentions or reviews of metaseq.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-06.
-
Training great LLMs from ground zero in the wilderness as a startup
This is a super important issue that affects the pace and breadth of iteration of AI almost as much as the raw hardware improvements do. The blog is fun but somewhat shallow and not technical or very surprising if you’ve worked with clusters of GPUs in any capacity over the years. (I liked the perspective of a former googler, but I’m not sure why past colleagues would recommend Jax over pytorch for LLMs outside of Google.) I hope this newco eventually releases a more technical report about their training adventures, like the PDF file here: https://github.com/facebookresearch/metaseq/tree/main/projec...
- Chronicles of Opt Development
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See the pitch memo that raised €105M for four-week-old startup Mistral
The number of people who can actually pre-train a true LLM is very small.
It remains a major feat with many tweaks and tricks. Case in point: the 114 pages of OPT175B logbook [1]
[1] https://github.com/facebookresearch/metaseq/blob/main/projec...
- Technologie: „Austro-ChatGPT“ – aber kein Geld zum Testen
- OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet
- Current state-of-the-art open source LLM
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Elon Musk Buys Ten Thousand GPUs for Secretive AI Project
Reliability at scale: take a look at the OPT training log book for their 175B model run. It needed a lot of babysitting. In my experience, that scale of TPU training run requires a restart about once every 1-2 weeks—and they provide the middleware to monitor the health of the cluster and pick up on hardware failures.
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Is AI Development more fun than Software Development?
I really appreciated this log of Facebook training a large language model of how troublesome AI development can be: https://github.com/facebookresearch/metaseq/tree/main/projects/OPT/chronicles
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Visual ChatGPT
Stable Diffusion will run on any decent gaming GPU or a modern MacBook, meanwhile LLMs comparable to GPT-3/ChatGPT have had pretty insane memory requirements - e.g., <https://github.com/facebookresearch/metaseq/issues/146>
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Ask HN: Is There On-Call in ML?
It seems so, check this log book from Meta: https://github.com/facebookresearch/metaseq/blob/main/projec...
What are some alternatives?
When comparing ChatGPT.el and metaseq you can also consider the following projects:
gpt4all - gpt4all: run open-source LLMs anywhere
stable-diffusion - A latent text-to-image diffusion model
codeium.vim - Free, ultrafast Copilot alternative for Vim and Neovim
nlp-resume-parser - NLP-powered, GPT-3 enabled Resume Parser from PDF to JSON.
gptel - A simple LLM client for Emacs
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
lsp-ltex - lsp-mode ❤️ LTEX
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
CodeGPT.nvim - CodeGPT is a plugin for neovim that provides commands to interact with ChatGPT.
manim - Animation engine for explanatory math videos
flycheck-vale - Flycheck integration for the vale natural language linter
cupscale - Image Upscaling GUI based on ESRGAN