Scientific Computing with Large Language Models

Autor:	Culver, Christopher, Hicks, Peter, Milenkovic, Mihailo, Shanmugavelu, Sanjif, Becker, Tobias
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	We provide an overview of the emergence of large language models for scientific computing applications. We highlight use cases that involve natural language processing of scientific documents and specialized languages designed to describe physical systems. For the former, chatbot style applications appear in medicine, mathematics and physics and can be used iteratively with domain experts for problem solving. We also review specialized languages within molecular biology, the languages of molecules, proteins, and DNA where language models are being used to predict properties and even create novel physical systems at much faster rates than traditional computing methods. Comment: 13 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.07259 Zobrazit plný text záznamu View this record from Arxiv