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A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

📅 February 21, 2023 👤 Jules White, Quchen Fu, Sam Hays et al. 📖 arXiv (Cornell University) 📊 791 citations

🤖 Plain-English Summary

Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Second, it presents a catalog of patterns that have been applied successfully to improve the outputs of LLM conversations.

🔑 Key Findings

  • Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities (and quantities) of generated output.
  • Prompts are also a form of programming that can customize the outputs and interactions with an LLM.
  • This paper describes a catalog of prompt engineering techniques presented in pattern form that have been applied to solve common problems when conversing with LLMs.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Feb 21, 2023
Journal arXiv (Cornell University)
Authors Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea
DOI 10.48550/arxiv.2302.11382
Citations 791
Source OpenAlex

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