Large Language Models for Mathematicians
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866916188268789760 |
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| author | Frieder, Simon Berner, Julius Petersen, Philipp Lukasiewicz, Thomas |
| author_facet | Frieder, Simon Berner, Julius Petersen, Philipp Lukasiewicz, Thomas |
| contents | Large language models (LLMs) such as ChatGPT have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-quality text or computer code. For many professions, LLMs represent an invaluable tool that can speed up and improve the quality of work. In this note, we discuss to what extent they can aid professional mathematicians. We first provide a mathematical description of the transformer model used in all modern language models. Based on recent studies, we then outline best practices and potential issues and report on the mathematical abilities of language models. Finally, we shed light on the potential of LLMs to change how mathematicians work. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_04556 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Large Language Models for Mathematicians Frieder, Simon Berner, Julius Petersen, Philipp Lukasiewicz, Thomas Computation and Language Artificial Intelligence Machine Learning History and Overview Large language models (LLMs) such as ChatGPT have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-quality text or computer code. For many professions, LLMs represent an invaluable tool that can speed up and improve the quality of work. In this note, we discuss to what extent they can aid professional mathematicians. We first provide a mathematical description of the transformer model used in all modern language models. Based on recent studies, we then outline best practices and potential issues and report on the mathematical abilities of language models. Finally, we shed light on the potential of LLMs to change how mathematicians work. |
| title | Large Language Models for Mathematicians |
| topic | Computation and Language Artificial Intelligence Machine Learning History and Overview |
| url | https://arxiv.org/abs/2312.04556 |