Large Language Models for Mathematicians

• URL: http://arxiv.org/abs/2312.04556v2
• Date: Tue, 2 Apr 2024 14:35:40 GMT
• Title: Large Language Models for Mathematicians
• Authors: Simon Frieder, Julius Berner, Philipp Petersen, Thomas Lukasiewicz,
• Abstract summary: Large language models (LLMs) have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-quality text or computer code. In this note, we discuss to what extent they can aid professional mathematicians.
• Score: 53.27302720305432
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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