👨‍🔧 Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts

This research proposes LangGPT, a structural prompt framework for designing prompts to instruct Large Language Models (LLMs). This framework, inspired by programming languages, provides a systematic and reusable method for creating prompts that are easier for non-AI experts to understand and use. The authors also present Minstrel, a multi-agent system that automatically generates these structural prompts, further reducing the learning cost and complexity of prompt design. The study demonstrates that using LangGPT prompts, either manually designed or generated by Minstrel, can significantly enhance the performance of LLMs compared to traditional prompt methods. The research also explores the ease of use and user satisfaction of LangGPT through a survey conducted within their online community.

📎 Link to paper
🌐 See their Github