RESTful-Llama: Connecting User Queries to RESTful APIs
Han Xu, Ruining Zhao, Jindong Wang, Haipeng Chen · 2024
Recent advancements in Large Language Models (LLMs) have showcased exceptional performance in zero-shot learning and reasoning tasks.However, integrating these models with external tools -a crucial need for real-world applications -remains a significant challenge.We propose RESTful-Llama, a novel framework designed to enable Llama 3.1 to transform natural language instructions into effective RESTful API calls.To enhance the fine-tuning process, we introduce DOC_Mine, a method to generate fine-tuning datasets from public API documentation.RESTful-Llama distinguishes itself by enabling open-source LLMs to efficiently interact with and adapt to any REST API system.Experiments demonstrate a 31.9%improvement in robustness and a 2.33x increase in efficiency compared to existing methods.