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