LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language

The paper proposes LangGPT, a novel framework that structures prompt design in a way that’s easy to learn and reuse, drawing inspiration from programming languages. Through experiments, LangGPT is shown to greatly enhance the quality of LLM responses and guide the generation of high-quality prompts, simplifying the process for users.

Key points from the study:

• Introduction of the LangGPT prompt design framework.
• Enhanced response quality from LLMs using structured prompts.
• Demonstration of LangGPT’s effectiveness in auto-generating high-quality prompts.
• A community platform to facilitate prompt design learning and sharing.

The paper’s significance is evident in its contribution to simplifying the use of LLMs, making it more approachable for non-experts and enhancing reusability. LangGPT sets a precedent for how structured frameworks can lead to more powerful and efficient use of AI technology in various applications.