Prompt Engineering Guide
πŸ˜ƒ Basics
πŸ’Ό Applications
πŸ§™β€β™‚οΈ Intermediate
🧠 Advanced
Special Topics
🌱 New Techniques
πŸ€– Agents
βš–οΈ Reliability
πŸ–ΌοΈ Image Prompting
πŸ”“ Prompt Hacking
πŸ”¨ Tooling
πŸ’ͺ Prompt Tuning
πŸ—‚οΈ RAG
🎲 Miscellaneous
Models
πŸ”§ Models
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πŸ“™ Vocabulary Resource
πŸ“š Bibliography
πŸ“¦ Prompted Products
πŸ›Έ Additional Resources
πŸ”₯ Hot Topics
✨ Credits
πŸ”¨ ToolingPrompt Engineering IDEsPromptmetheus

Promptmetheus

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Last updated on August 7, 2024

Sander Schulhoff

PROMPTMETHEUS helps you compose, test, optimize, and deploy One-Shot prompts for OpenAI and other LLM providers that predictably transform input to output.

Features

In the Promptmetheus playground you can compose prompts from individual blocks and test prompt variations with different models and model parameters. You can rate outputs and get automatically generated visualizations for how each block performs. Prompts and outputs can easily be exported to .csv, .xls, and .json files.

PROMPTMETHEUS also offers paid plans for individuals and teams that offer cloud sync, full traceability, real-time collaboration, and more.

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.