galai
scibert
| galai | scibert | |
|---|---|---|
| 8 | 2 | |
| 2,628 | 1,402 | |
| 0.0% | 0.0% | |
| 0.0 | 0.0 | |
| about 1 year ago | about 2 years ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
galai
-
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
-
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
-
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
-
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
-
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
-
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\\[")
-
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.
scibert
- Galactica: an AI trained on humanity's scientific knowledge
-
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.
What are some alternatives?
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
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.
YaLM-100B - Pretrained language model with 100B parameters
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
openplayground - An LLM playground you can run on your laptop
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
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.
BERT-pytorch - Google AI 2018 BERT pytorch implementation
awesome-generative-ai - A curated list of modern Generative Artificial Intelligence projects and services
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
metaseq - Repo for external large-scale work
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)