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

Author:

Arawjo Ian1ORCID,Vaithilingam Priyan1ORCID,Wattenberg Martin2ORCID,Glassman Elena1ORCID

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

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.

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