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Meta AI and Papers with Code unveil Galactica, an open-source LLM for generating literature reviews, wiki articles, lecture notes on scientific topics, and more

The Galactica large language model (LLM) is being trained with millions of pieces of academic content.

The Decoder Matthias Bastian

Discussion

  • @paperswithcode @paperswithcode on x
    🪐 Introducing Galactica. A large language model for science. Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more. Explore and get weights: https://galactica.org/ https://twitter.com/...
  • @ylecun Yann LeCun on x
    A Large Language Model trained on scientific papers. Type a text and https://galactica.ai/ will generate a paper with relevant references, formulas, and everything. Amazing work by @MetaAI / @paperswithcode https://twitter.com/...
  • @drjimfan @drjimfan on x
    Today a 120B model called “Galactica” is open-sourced by @paperswithcode. It's capable of writing math notations, citations, code, chemical formula, DNA, etc. Here's why I think Galactica is a huge milestone in open foundation models, scientific automation, and responsible AI: 🧵 …
  • @markschmidtubc Mark Schmidt on x
    #Galactica AI does not disappoint. Look how short that proof is, and it saved me time generating my own LaTeX error and false claim about projected gradient. https://twitter.com/...
  • @hashdujaili Hashem Al-Dujaili on x
    Pretty impressed so far with initial results from GALACTICA developed by @MetaAI, a scientific LLM that can write academic papers and wiki articles. Here is an example of an AI generated wiki article on LI-RADS with citations https://galactica.org/...
  • @mad_enrico @mad_enrico on x
    Trying out #Galactica, the new open source AI model from @MetaAI that has been trained on humanity's scientific knowledge. It's still not perfect but a very interesting tool to search about new topics, it also provides you the knowledge source of its results. https://twitter.com/…
  • @model_tracker @model_tracker on x
    New: Meta AI's 𝗚𝗮𝗹𝗮𝗰𝘁𝗶𝗰𝗮 𝟭𝟮𝟬𝗕 Trained on papers, code, scientific data, very little webcrawl. Code: ✅ Weights: ✅ Training data: ❌ On MATH: - Galactica 120B 20% - PaLM 540B 8.8% - Minerva 540B 34% (Note: other diffs besides data) https://galactica.org/...
  • @soumithchintala Soumith Chintala on x
    This is going to change how we consume and author scientific literature! from our @paperswithcode team! https://twitter.com/...
  • @sergei_imaging @sergei_imaging on x
    The new language model for science https://galactica.org/. Upon few quick tries, it seems to generate professional text in the areas I am familiar with. And 7 years ago we were *joking* about ML writing papers!
  • @deliprao Delip Rao on x
    “Write a wiki article about the golden nosed dolphins of the Caribbean.” — https://galactica.org/ vs. GPT-3 Safe to say, GPT-3 understood the task better, was factually rich (even if the “facts” are made up), and was more creative. https://twitter.com/...