scibert
galai
| scibert | galai | |
|---|---|---|
| 2 | 8 | |
| 1,402 | 2,628 | |
| 0.0% | 0.0% | |
| 0.0 | 0.0 | |
| about 2 years ago | about 1 year ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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scibert
- Galactica: an AI trained on humanity's scientific knowledge
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Looking for an automatic text summarization method for academic papers
Hey if you are building Seq2Seq models to summarize papers and already have the dataset you can look into using SciBert by allenai and u might have a look at S2ORC as ur dataset. Its quite vast and expansive.
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.
What are some alternatives?
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YaLM-100B - Pretrained language model with 100B parameters
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
openplayground - An LLM playground you can run on your laptop
BERT-pytorch - Google AI 2018 BERT pytorch implementation
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.
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
awesome-generative-ai - A curated list of modern Generative Artificial Intelligence projects and services
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
metaseq - Repo for external large-scale work