galai
openplayground
| galai | openplayground | |
|---|---|---|
| 8 | 12 | |
| 2,628 | 6,091 | |
| 0.0% | - | |
| 0.0 | 2.0 | |
| about 1 year ago | 4 days ago | |
| Jupyter Notebook | TypeScript | |
| Apache License 2.0 | MIT License |
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galai
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Meta’s powerful AI language model has leaked online — what happens now?
Official website: https://galactica.org/ Community-driven API provided via GitHub: https://github.com/paperswithcode/galai
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What is this subreddit about? I can't tell if its wifaus or locally run LLMs
More important is the language model. Gattica AI has been trained on scientific papers: https://github.com/paperswithcode/galai
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I asked ChatGPT to find me some papers, all the papers it gave me did not exist. What gives?
Check out "galactica" https://github.com/paperswithcode/galai , the language model for making papers
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I wrote an Emacs package for ChatGPT
https://github.com/facebookresearch/metaseq/blob/main/projects/OPT/README.md https://github.com/paperswithcode/galai https://github.com/yandex/YaLM-100B
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Convincing ChatGPT to Write a Python Program to Eradicate Humanity
Isn't it still available, they just aren't running an instance for public use anymore but I thought you could run your own?
https://github.com/paperswithcode/galai
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Galactica: an AI trained on humanity's scientific knowledge
You can run Galactica (the "base" model) for free on Colab (https://colab.research.google.com/). It takes about 4 minutes to start up. Just specify a "GPU" runtime on colab, and follow the simple instructions from their github (https://github.com/paperswithcode/galai):
import galai as gal
model = gal.load_model("base")
model.generate("Scaled dot product attention:\n\n\\[")
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Over the past several months I've put together a spreadsheet of 470 categorized SD resources and apps. Put it up online in case it helps someone (should be the biggest public list so far)
I think you should probably add https://github.com/paperswithcode/galai to NLP text models too.
openplayground
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Show HN: Unified access to top AI models, supporting GPT4, Claude and more
https://github.com/nat/openplayground
I load up $5 into my account using my credit card and then reload it whenever it gets low, it also has a tab for comparing multiple resulta from different models together.
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I love how many people want a way bigger context window for example for GPT-4 (like 100k-1m). May I introduce you the cost of one API call at the full 32k context window? 2$. So 1m would approximately cost you 60$. One call. 60$.
https://github.com/nat/openplayground https://discord.gg/uT98U9HJ.
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How good is the 100k context model?
Try here: https://github.com/nat/openplayground
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Performance of GPT-4 vs PaLM 2
From there you have lots of other models: One of the best places to easily start using multiple models is using a multiple model UI program lik GPT4All, there are also some programs that provide access to more models or use different ways of interfacing with them, here are some of what I've found are the best / most popular programs to play around with lots of different models and compare them: LocalAI, text-generation-webui, open playground
- Show HN: Promptfoo – a tool for comparing LLM prompts and models
- Show HN: AI Playground by Vercel Labs
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What is this subreddit about? I can't tell if its wifaus or locally run LLMs
Here's another interesting engine called AI playground that lets you do side-by-side comparisons of language models based on the same prompts: https://github.com/nat/openplayground
- An LLM playground you can run on your laptop
What are some alternatives?
scibert - A BERT model for scientific text.
llama.cpp - LLM inference in C/C++
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
BetterChatGPT - An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
YaLM-100B - Pretrained language model with 100B parameters
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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.
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
awesome-generative-ai - A curated list of modern Generative Artificial Intelligence projects and services
ChatALL - Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
metaseq - Repo for external large-scale work
awesome-ml - Curated list of useful LLM / Analytics / Datascience resources