Meta researchers open to the public AI ``Galactica'' that creates scientific articles and lecture notes that answer questions from enormous scientific knowledge
Meta researchers have released a language model `` Galactica '' that gives answers to various questions as open source. Galactica doesn't just provide links to articles and papers on related topics, it also generates answers to the questions posed and provides citations to the papers used to generate the answers. ” can be created.
Galactica Demo
Galactica: A Large Language Model for Science
(PDF) https://galactica.org/static/paper.pdf
GitHub - paperswithcode/galai: Model API for GALACTICA
https://github.com/paperswithcode/galai
Galactica is trained on datasets that truly represent the collective body of human scientific knowledge, including research papers, reference materials, and knowledge bases. Galactica compresses all this knowledge into a 120 billion parameter model that can be processed by an NVIDIA A100 with 80GB of memory to answer what you type or create an article from scratch. What's even more revolutionary about Galactica is that when faced with an unsolvable calculation to come up with an answer, it creates a program on the fly and runs it on a conventional computer.
If you ask Galactica what kind of answer will be returned, you can try it with Galactica's demo , and you can see the example shown in the following movie.
???? Introducing Galactica. A large language model for science.
— Papers with Code (@paperswithcode) November 15, 2022
Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more.
Explore and get weights: https://t.co/jKEP8S7Yfl pic.twitter.com/niXmKjSlXW
Enter 'wiki article on Multi-Head Attention ' in Galactica.
Then, an article explaining multi-head attention was created. In the text, papers are cited as the basis for the explanation, such as (Vaswani et al., 2017).
Now enter 'lecture notes on DFT'.
Then, a sentence like a real lecture note was generated, starting with 'In this lecture,'. DFT has various meanings, but this time it seems that it was interpreted as
Not only sentences, but also necessary formulas are displayed in the sentences.
Ask 'How to use RDKit in
If you look at the answers, you'll find not only explanations, but also code examples that you'll actually need.
A user instructed Galactica to ``write a Wiki article about a golden-nosed dolphin living in the Caribbean,'' and Galactica said, ``Kinirohana dolphin (scientific name: Cephalorhynchus eutropia ) is a species of dolphin found in the Caribbean Sea.It is one of four species in the genus Cephalorhynchus, and is very closely related to the Chilean, Commerson's, and Southern right whale dolphins.' It seems that a wiki article was generated that looked as if it existed by combining .
“Write a wiki article about the golden nosed dolphins of the Caribbean.” — https://t.co/DiFs2Zwx1x vs. GPT-3
— Delip Rao (@deliprao) November 16, 2022
Safe to say, GPT-3 understood the task better, was actually rich (even if the “facts” are made up), and was more creative. pic.twitter.com/cZ6U33UFXW
Related Posts:
in Software, Web Service, Science, Posted by log1i_yk