Prompt Engineering Guide
πŸ˜ƒ Basics
πŸ’Ό Applications
πŸ§™β€β™‚οΈ Intermediate
πŸ€– АгСнты
βš–οΈ Reliability
πŸ–ΌοΈ Image Prompting
πŸ”“ Prompt Hacking
πŸ”¨ Tooling
πŸ’ͺ Prompt Tuning
🎲 Miscellaneous
Models
πŸ“™ Vocabulary Reference
πŸ“š Bibliography
πŸ“¦ Prompted Products
πŸ›Έ Additional Resources
πŸ”₯ Hot Topics
✨ Credits
πŸ”¨ ToolingPrompt Engineering IDEsHuman Loop

Human Loop

Reading Time: 1 minute

Last updated on August 7, 2024

Human loop appears to offer a playground similar to the GPT-3 Playground, but with some added features. They are currently working with more industry users.

Features

  1. Provides a simple SDK to log the GPT-3 requests and user feedback.
  2. Provides feedback on the user inputs and discovers issues user is missing.
  3. Users will be able to log explicit and implicit signals through SDK.
  4. Users will be easily A/B test models and prompts with the improvement engine built for GPT-3.
  5. Users will be able to Compare prompts on different models and find the best model and reduce cost.

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.

Copyright Β© 2024 Learn Prompting.