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PromptChainer

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Last updated on August 7, 2024

PromptChainer es una herramienta de investigación para la ingeniería de prompts. Se enfoca en concatenar prompts y es la herramienta de investigación más refinada que he encontrado.

Características

PromptChainer tiene una vista de cadena y una vista de nodo individual. También proporciona funciones de depuración.

Sander Schulhoff

Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, reaching 3M+ people and teaching them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions. This 76-page survey analyzed 1,500+ academic papers and covered 200+ prompting techniques.

Footnotes

Wu, T., Jiang, E., Donsbach, A., Gray, J., Molina, A., Terry, M., & Cai, C. J. (2022). PromptChainer: Chaining Large Language Model Prompts through Visual Programming. ↩