pen.el
Pen.el stands for Prompt Engineering in emacs. It facilitates the creation, discovery and usage of prompts to language models. Pen supports OpenAI, EleutherAI, Aleph-Alpha, HuggingFace and others. It's the engine for the LookingGlass imaginary web browser. (by semiosis)
YaLM-100B
Pretrained language model with 100B parameters (by yandex)
| pen.el | YaLM-100B | |
|---|---|---|
| 21 | 35 | |
| 465 | 3,722 | |
| - | 0.1% | |
| 9.5 | 0.0 | |
| over 1 year ago | 10 months ago | |
| Emacs Lisp | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
pen.el
Posts with mentions or reviews of pen.el.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-10.
- Pen.el – Emacs-based operating system designed with holiness in mind
- I turned my AI project into Bible software after getting born-again
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I wrote an Emacs package for ChatGPT
I'd like to also through https://github.com/semiosis/pen.el as an option. It integrates quite a few open source clients into emacs and can turn it into an "imaginary" editor of sorts
- pen.el: Pen.el stands for Prompt Engineering in emacs. Create, discover and use prompts to language models. Pen supports EleutherAI, Aleph-Alpha, HuggingFace
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Created a Twitter bot to ask for prompts and input the prompts from the replies and tweet out the results… bad idea lol
Why not use emacs?
- 'pen.el': a package for prompt engineering in emacs. (It facilitates the creation, ongoing development, discovery and usage of prompts to a language model such as OpenAI's GPT-3 or EleutherAI's GPT-j.)
- Imaginary programming with GPT-3/Codex
- I say, if GPT3 is this phenomenal, can you imagine how jaw dropping GPT69 is gonna be?
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Open call for an ELisp hacker to bring GitHub Copilot to Emacs (yes, really)
Sort of: Pen. https://github.com/semiosis/pen.el/
- Show HN: Pen.el (Working GPT-3/LM for Emacs with easy Docker install)
YaLM-100B
Posts with mentions or reviews of YaLM-100B.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-19.
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Elon Musk's Grok Exactly Echoes ChatGPT Responses: Identical Answers Raise Questions - EconoTimes
Its probably just open source software/training sets repurposed... https://github.com/yandex/YaLM-100B
- OpenAI CEO suggests international agency like UN's nuclear watchdog could oversee AI
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A few less Googleable questions about local LLMs
There is a 100b model published on pache 2.0 license. Though there is no information about finetuning it or using in 4-bit with smth like llama.cpp. Trying to figure out how to try it without renting extremely expensive gpu set. https://github.com/yandex/YaLM-100B
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Is it possible to use llama.cpp or create Alpaca Lora for YALM-100b model?
Hey everyone! I just discovered an open-source 100 billion parameter language model called YaLM, which is published under the Apache 2.0 license. The model is trained on more than 1 TB of Russian and English text. Here's the GitHub repo: https://github.com/yandex/YaLM-100B and an article explaining how it was trained: https://medium.com/yandex/yandex-publishes-yalm-100b-its-the-largest-gpt-like-neural-network-in-open-source-d1df53d0e9a6
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Kandinsky 2.1 - a new open source text-to-Image model
Yandex has already released a LLM: https://github.com/yandex/YaLM-100B
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Just another casualty...
So there is this open project YaLM 100B require 200 GB of disk space, it is trained on 1.7 TB of text
- There's a lot of news about American/European AI. Do we know anything about what China, India, Russia and other countries are up to?
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Suggestion. Chat mode.
You'd think so, but to train a model like the one CAI uses, it would require truly jaw-breaking amount of funds. That's why CAI is so suspicious tbh. Just to give you an example, YaML (100 billion parameters which is probably less than CAI) took 65 days to train, and 800 A100 graphics cards. 175 billion parameters would not be 1.75 times higher because it's not a linear function. It would probably be 10x or even more. IIRC, "Open"Ai could only afford to train GPT-3 a single time...
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Ask HN: Can I download GPT / ChatGPT to my desktop?
I don't much follow AI news beyond what I randomly happen to see on HN, but this might still be the largest open source model: https://github.com/yandex/YaLM-100B . There's discussion of it here: https://old.reddit.com/r/MachineLearning/comments/vpn0r1/d_h... - at the bottom of that page is a comment from someone who actually ran it in the cloud.
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[Rant] Siri is beyond horrendous and it’s even worse than ever
Hilariously, Yandex Alisa runs circles around it, because it's not just a collection of gimmicks but has an actual 100B-class language model (YaLM, opensourced) as its core, plus lots of decent engineering. It's helpful, skillful and feels alive, almost like ChatGPT.
What are some alternatives?
When comparing pen.el and YaLM-100B you can also consider the following projects:
TabNine - AI Code Completions
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
check-if-email-exists - Check if an email address exists without sending any email, written in Rust. Comes with a ⚙️ HTTP backend.
SLIDE
vim-plugin - The Kite plugin for Vim.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
prompts - A free and open-source curation of prompts for OpenAI's GPT-3/Codex, EleutherAI's GPT-j, AlephAlpha's World Model and other language models.
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
asciinema - Terminal session recorder 📹
YaLM-100B - Pretrained language model with 100B parameters
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
ClickHouse - ClickHouse® is a free analytics DBMS for big data