计算机科学
理解力
过程(计算)
人机交互
自然语言处理
程序设计语言
作者
Sondos Mahmoud Bsharat,Aidar Myrzakhan,Zhiqiang Shen
出处
期刊:Cornell University - arXiv
日期:2023-01-01
被引量:18
标识
DOI:10.48550/arxiv.2312.16171
摘要
This paper introduces 26 guiding principles designed to streamline the process of querying and prompting large language models. Our goal is to simplify the underlying concepts of formulating questions for various scales of large language models, examining their abilities, and enhancing user comprehension on the behaviors of different scales of large language models when feeding into different prompts. Extensive experiments are conducted on LLaMA-1/2 (7B, 13B and 70B), GPT-3.5/4 to verify the effectiveness of the proposed principles on instructions and prompts design. We hope that this work can provide a better guide for researchers working on the prompting of large language models. Project page is available at https://github.com/VILA-Lab/ATLAS.
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