ChainForge: An open-source visual programming environment for prompt engineering-Reference-Cited by-同舟云学术

ChainForge: An open-source visual programming environment for prompt engineering

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
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Author:

Arawjo Ian¹^ORCID,Vaithilingam Priyan¹^ORCID,Wattenberg Martin²^ORCID,Glassman Elena¹^ORCID

Affiliation:

1. John A. Paulson School of Engineering & Applied Sciences, Harvard University, United States

2. Insight and Interaction Lab, Harvard, United States

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3586182.3616660

Reference8 articles.

1. Google AI. 2023. PaLM 2. https://ai.google/discover/palm2/. Accessed: 2023-7-17. Google AI. 2023. PaLM 2. https://ai.google/discover/palm2/. Accessed: 2023-7-17.

2. Anthropic. 2023. Claude 2. https://www.anthropic.com/index/claude-2. Accessed: 2023-7-17. Anthropic. 2023. Claude 2. https://www.anthropic.com/index/claude-2. Accessed: 2023-7-17.

3. Rishi Bommasani , Drew A Hudson , Ehsan Adeli , Russ Altman , Simran Arora , Sydney von Arx , Michael S Bernstein , Jeannette Bohg , Antoine Bosselut , Emma Brunskill , 2021. On the Opportunities and Risks of Foundation Models. arXiv e-prints ( 2021 ), arXiv–2108. Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, 2021. On the Opportunities and Risks of Foundation Models. arXiv e-prints (2021), arXiv–2108.

4. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

5. OpenAI. 2023. GPT-4. https://openai.com/research/gpt-4. Accessed: 2023-7-17. OpenAI. 2023. GPT-4. https://openai.com/research/gpt-4. Accessed: 2023-7-17.