Prompt Engineering Taxonomy

A comprehensive, interactive taxonomy of 100+ prompt engineering techniques derived from 17 research papers. This project transforms the original list compiled by Reddit user u/Background-Zombie869 into a structured, searchable, and visually appealing resource for prompt engineering practitioners and researchers.

Overview

This project takes the alphabetical list of prompt engineering techniques from the original Reddit post and enhances it with:

• Categorization: Organizes techniques into logical categories based on function and purpose
• Enhanced Descriptions: Adds detailed descriptions, examples, and use cases
• Visualizations: Shows relationships between different techniques
• Interactivity: Provides filtering, searching, and exploration tools
• Structured Data: Makes the taxonomy available in JSON format for further research

Project Structure

.
├── index.html                  # Main landing page
├── assets/                     # Static assets
│   ├── css/                    # Stylesheets
│   │   └── styles.css          # Main CSS file
│   └── js/                     # JavaScript files
│       ├── main.js             # General site functionality
│       ├── data-loader.js      # Handles loading and displaying technique data
│       └── network-visualization.js  # Force-directed graph visualization
├── reports/                    # Interactive reports
│   ├── taxonomy-overview.html  # Main taxonomy view with filtering
│   └── technique-relationships.html  # Network visualization of relationships
├── data/                       # Data files
│   ├── processed/              # Structured data
│   │   ├── technique_categories.json  # Category definitions
│   │   └── techniques.json     # Detailed technique data
│   └── raw/                    # Raw source data
│       └── reddit/             # Original Reddit content
│           └── background-zombie869-post.md  # Archived post content
└── sources.html                # Attribution and sources page

Features

• Interactive Technique Browser: Filter by category, search, and toggle between card and list views
• Relationship Visualization: Explore how different prompt engineering techniques relate to each other
• Detailed Technique Information: View descriptions, examples, use cases, sources, and related techniques
• Responsive Design: Works on mobile, tablet, and desktop devices
• Clean, Modern Interface: Intuitive navigation and aesthetically pleasing design

Running the Website

This is a static website that can be served by any web server. To run it locally:

1. Clone the repository:

   git clone https://github.com/your-username/prompt-engineering-taxonomy.git
   cd prompt-engineering-taxonomy
   

2. Serve the files using any static web server, for example:

   Using Python:

   # Python 3
   python -m http.server
   
   # Python 2
   python -m SimpleHTTPServer
   

   Using Node.js (with http-server package):

   npx http-server
   

3. Open your browser and navigate to http://localhost:8000 (or whatever port your server is using)

Data Structure

The taxonomy data is stored in two main JSON files:

1. data/processed/technique_categories.json: Defines the categories and their relationships
2. data/processed/techniques.json: Contains detailed information about each technique

This structured format makes it easy to:

• Update or add new techniques
• Generate alternative visualizations
• Import into other projects or tools

Attribution

This project is based on research compiled by Reddit user u/Background-Zombie869, who distilled information from 17 research papers on prompt engineering techniques. The original post can be found here.

We've enhanced the original compilation with additional organization, descriptions, visualizations, and interactivity to make it more accessible and useful to the community.

Research Papers Referenced

The original taxonomy references 17 research papers, including:

• Schulhoff et al. - "A Survey of Prompt Engineering"
• Vatsal & Dubey - "Comprehensive Review of Prompt Engineering"
• Wei et al. - "Chain-of-Thought Prompting"
• Wang et al. - "Self-Consistency"
• Zhou et al. - "APE (Automatic Prompt Engineer)"
• And many more (see the Sources page for a complete list)

Contributing

Contributions to expand and improve this taxonomy are welcome! To contribute:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/new-feature)
3. Add your changes
4. Submit a pull request

License

This project is available under the MIT License - see the LICENSE file for details.

Acknowledgments

• u/Background-Zombie869 for the original research compilation
• All the researchers who published the papers referenced in this taxonomy
• The prompt engineering community for continuing to advance this field