Achieving Tool Calling Functionality in LLMs Using Only Prompt Engineering Without Fine-Tuning
July 06, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Shengtao He
arXiv ID
2407.04997
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.HC
Citations
6
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Currently, the vast majority of locally deployed open-source large language models (LLMs) and some commercial model interfaces do not support stable tool calling functionality. The existing solution involves fine-tuning LLMs, which results in significant time and computational resource consumption. This paper proposes a method that enables LLMs to achieve stable tool calling capabilities using only prompt engineering and some ingenious code design. We conducted experiments on multiple LLMs that lack tool calling capabilities across various tool calling tasks, achieving a success rate of 100%.
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