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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 provides 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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https://arxiv.org/pdf/2312.16171.pdf
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 provides 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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