LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
Project Overview
The document explores the innovative use of generative AI in education through the development of LangGPT, a dual-layer structured prompt design framework that enhances the usability and effectiveness of large language models (LLMs). This framework enables even non-experts to create effective prompts, thereby broadening the accessibility of AI tools in educational contexts. Experimental findings indicate that LangGPT significantly improves the performance of LLMs in executing educational tasks, suggesting its valuable role in facilitating learning and teaching processes. User surveys further affirm the framework's ease of use and high levels of satisfaction among educators and students alike. Overall, the integration of LangGPT into educational settings showcases the potential of generative AI to streamline interactions with technology, foster engagement, and enhance learning outcomes.
Key Applications
LangGPT framework for prompt design
Context: Educational context targeting non-AI experts who need to create prompts for LLMs.
Implementation: LangGPT was implemented using a dual-layer structure to standardize and simplify prompt creation.
Outcomes: Significantly improved performance of LLMs on various tasks; high user satisfaction and ease of use reported in surveys.
Challenges: Low-performance models struggle with complex LangGPT prompts, limiting generalization across different tasks.
Implementation Barriers
Technical barrier
Low-performance models struggle to understand and utilize complex prompts effectively.
Proposed Solutions: Future work aims to optimize LangGPT for better compatibility with low-performance LLMs.
User-related barrier
Non-AI experts may find it challenging to create high-quality prompts without proper training.
Proposed Solutions: LangGPT aims to reduce the learning cost of prompt design, making it easier for non-experts to create effective prompts.
Project Team
Ming Wang
Researcher
Yuanzhong Liu
Researcher
Xiaoyu Liang
Researcher
Songlian Li
Researcher
Yijie Huang
Researcher
Xiaoming Zhang
Researcher
Sijia Shen
Researcher
Chaofeng Guan
Researcher
Daling Wang
Researcher
Shi Feng
Researcher
Huaiwen Zhang
Researcher
Yifei Zhang
Researcher
Minghui Zheng
Researcher
Chi Zhang
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Ming Wang, Yuanzhong Liu, Xiaoyu Liang, Songlian Li, Yijie Huang, Xiaoming Zhang, Sijia Shen, Chaofeng Guan, Daling Wang, Shi Feng, Huaiwen Zhang, Yifei Zhang, Minghui Zheng, Chi Zhang
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai