A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Titolo: en A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT; http://arxiv.org/abs/2302.11382
Descrizione: Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. 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.
lista degli autori: Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, Douglas C. Schmidt
Oggetto: Computer Science - Artificial Intelligence, Computer Science - Software Engineering