Home / Research Articles Hub / A Prompt Pattern Catalog to Enhance Prompt Enginee...
🤖 Artificial Intelligence OpenAlex

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

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

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities (and quantities) of generated output.
  • 2 Prompts are also a form of programming that can customize the outputs and interactions with an LLM.
  • 3 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 It Matters

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

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

Read Full Paper at OpenAlex
More Artificial Intelligence Papers ← Back to Hub 📚 Learning Hub
Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Feb 21, 2023
Journal arXiv (Cornell University)
DOI 10.48550/arxiv.2302.11382
Citations 791
Authors Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea