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Galactica

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Galactica is a language model developed by Meta (formerly known as Facebook) for AI research. It is trained on a large corpus of scientific literature and can help suggest citations, discover related papers, and perform tasks such as translating, simplifying, finding bugs, and converting math formulas from plain English to Python or C++. While the demo of Galactica has been removed from public availability due to concerns about potential inaccuracies, the model remains available for researchers who want to learn more about the work and reproduce the results in the paper.

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About

Galactica is a large-scale language model developed by Meta (formerly known as Facebook) that is designed for AI research. It is trained on a diverse set of sources comprising over 360 million in-context citations and over 50 million unique references, which allows it to suggest citations and help discover related papers. The model can work with scientific terminology, math, and chemical formulas, making it particularly useful for researchers in fields such as machine learning, math, computer science, biology, and physics.

Galactica is also capable of performing a variety of tasks, such as translating, simplifying, finding bugs, and converting math formulas from plain English to Python or C++ and vice versa. The model is trained on a novel high-quality scientific dataset called NatureBook, and can translate Python code to plain English and vice versa, as well as help find bugs in code. Additionally, Galactica can simplify complex math formulas and translate them from plain English to Python or C++.

Overall, Galactica is a powerful language model that can assist researchers in various scientific fields by suggesting citations, discovering related papers, and performing a range of tasks related to scientific terminology, math, and programming.

 

Pricing

Meta (formerly known as Facebook) has not announced any pricing information for Galactica as it is currently not being used in production and is intended for research purposes only. The Galactica model and code are available for researchers to use and reproduce the results in the paper, but it is not being marketed as a commercial product with a pricing structure.

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Release Date: 28 March 2023
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Frequently Asked Questions

What is the purpose of Galactica?

The purpose of Galactica is to help researchers in fields such as machine learning, math, computer science, biology, and physics. It aims to make the research process more efficient by providing tools to assist with tasks such as finding related papers and simplifying complex math formulas.

What sources is Galactica trained on?

Galactica models are trained on a diverse set of sources comprising over 360 million in-context citations and over 50 million unique references. The models are trained on a novel high-quality scientific dataset called NatureBook.

Why did Meta remove the demo of Galactica?

Meta removed the demo of Galactica from public availability due to the potential for it to generate inaccurate and unreliable output. They believe it is important for the public to understand the strengths and weaknesses of large language models like Galactica in an open and transparent way.

Is Galactica available for production use?

No, Galactica is not currently available for production use. The model, code, and corresponding demo are intended for the research community.

How can researchers access Galactica?

The Galactica model remains available for researchers who want to learn more about the work and reproduce the results in the paper.

Can Galactica work with other languages besides Python and C++?

Currently, Galactica is primarily designed to work with Python and C++ code, but it may be possible to extend its capabilities to other languages in the future.

Does Galactica have any limitations?

Yes, like all large language models, Galactica has limitations and can generate inaccurate or unreliable output. It is important for users to understand its strengths and weaknesses and to use it as a tool to assist with research rather than as a replacement for human expertise.