Bienvenidos
😃 Básico
💼 Aplicaciones básicas
🧙‍♂️ Intermediate
🤖 Agentes
⚖️ Reliability
🖼️ Image Prompting
🔓 Prompt Hacking
🔨 Tooling
💪 Prompt Tuning
🎲 Miscellaneous
Models
📙 Referencia de Vocabulario
📚 Bibliography
📦 Prompted Products
🛸 Recursos adicionales
🔥 Hot Topics
✨ Créditos
🔨 ToolingPrompt Engineering IDEsLang Chain

Lang Chain

Reading Time: 1 minute

Last updated on August 7, 2024

LangChain es una biblioteca de Python que proporciona varias funcionalidades para construir y encadenar prompts.

Funcionalidades

LangChain permite cambiar fácilmente de proveedor, estandariza las interacciones con LLMs y proporciona "agentes" para cosas como razonamiento simbólico y arquitecturas MRKL.

LangChain planea agregar una interfaz gráfica de usuario en el futuro.

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

  1. Karpas, E., Abend, O., Belinkov, Y., Lenz, B., Lieber, O., Ratner, N., Shoham, Y., Bata, H., Levine, Y., Leyton-Brown, K., Muhlgay, D., Rozen, N., Schwartz, E., Shachaf, G., Shalev-Shwartz, S., Shashua, A., & Tenenholtz, M. (2022).

Copyright © 2024 Learn Prompting.