AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts-Reference-Cited by-同舟云学术

AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
language:
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Author:

Wu Tongshuang¹,Terry Michael²,Cai Carrie Jun²

Affiliation:

1. Paul G. Allen School of Computer Science and Engineering, University of Washington, United States

2. Google Research, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3517582

Reference70 articles.

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2. [n. d.]. Prompt design 101. https://beta.openai.com/docs/introduction/prompt-design-101. Accessed: 2021-08-07. [n. d.]. Prompt design 101. https://beta.openai.com/docs/introduction/prompt-design-101. Accessed: 2021-08-07.

3. [n. d.]. A Recipe For Arbitrary Text Style Transfer With Large Language Models. https://www.gwern.net/GPT-3. Accessed: 2021-08-01. [n. d.]. A Recipe For Arbitrary Text Style Transfer With Large Language Models. https://www.gwern.net/GPT-3. Accessed: 2021-08-01.

4. Accelerating Text Communication via Abbreviated Sentence Input

5. Guidelines for Human-AI Interaction

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