Scientific Computing with Large Language Models
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866929381982601216 |
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| author | Culver, Christopher Hicks, Peter Milenkovic, Mihailo Shanmugavelu, Sanjif Becker, Tobias |
| author_facet | Culver, Christopher Hicks, Peter Milenkovic, Mihailo Shanmugavelu, Sanjif Becker, Tobias |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_07259 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Scientific Computing with Large Language Models Culver, Christopher Hicks, Peter Milenkovic, Mihailo Shanmugavelu, Sanjif Becker, Tobias Computation and Language Artificial Intelligence Machine Learning 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. |
| title | Scientific Computing with Large Language Models |
| topic | Computation and Language Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2406.07259 |