by ctlllll · LLM Plugin · ★ 1.1k
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Large Language Models as Tool Makers Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou Paper link Motivation Recent research shows the potential of enhancing the problem-solving ability of large language models (LLMs) through the use of external tools. However, prior work along this line depends on the availability of existing tools. In this work, we take an initial step towards removing this dependency by proposing a closed-loop framework, referred to as LLMs A s Tool M akers (LATM), where LLMs create their own reusable tools for problem-solving. Overview Our approach consists of two key phases: 1) tool making: an LLM acts as the tool maker that crafts tools for given tasks, where a tool is implemented as a Python utility function. 2) tool using: an LLM acts as the tool user, which applies the tool built by the tool maker for problem-solving. The tool user can be either the same or a different LLM from the tool maker. Tool-making enables an LLM to continually generate tools that can be applied to different requests so that future requests can call the corresponding APIs when beneficial for solving the tasks.
| Stars | 1,058 |
| Forks | 96 |
| Language | Jupyter Notebook |
| Category | LLM Plugin |
| Quality Score | 52.6059630637064/100 |
| Open Issues | 4 |
| Last Updated | 2023-05-29 |
| Created | 2023-05-25 |
| Est. Tokens | ~93k |
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LLM-ToolMaker is an open-source llm plugin by ctlllll with 1.1k GitHub stars.
LLM-ToolMaker is primarily written in Jupyter Notebook.
You can find installation instructions and usage details in the LLM-ToolMaker GitHub repository at github.com/ctlllll/LLM-ToolMaker. The project has 1.1k stars and 96 forks, indicating an active community.
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