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Large Language Models as Tool Makers
March 12, 2024, 4:44 a.m. | Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
cs.LG updates on arXiv.org arxiv.org
Abstract: Recent research has highlighted the potential of large language models (LLMs) to improve their problem-solving capabilities with the aid of suitable external tools. In our work, we further advance this concept by introducing a closed-loop framework, referred to as LLMs A s Tool Makers (LATM), where LLMs create their own reusable tools for problem-solving. Our approach consists of two phases: 1) tool making: an LLM acts as the tool maker that crafts tools for a …
abstract advance arxiv capabilities concept cs.ai cs.cl cs.lg framework language language models large language large language models llms loop makers problem-solving research stat.ml tool tools type work
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