Prompt Engineering Repository
Welcome to the Prompt Engineering Repository! This collection is designed to showcase, share, and explain prompts I've developed for various Large Language Models (LLMs). Each prompt is crafted with precision, accompanied by detailed explanations of its mechanics, intended use cases, and potential modifications.
The field of prompt engineering is crucial to unlocking the full potential of LLMs. This repository is intended to serve as a practical resource for:
- Developers seeking to enhance their workflows with advanced prompts.
- Researchers exploring prompt behavior and optimization techniques.
- Educators and learners wanting to better understand how to interact effectively with LLMs.
Whether you're a seasoned pro or just starting with LLMs, this repository has something for you!
The repository is organized into categories based on the type of task or domain the prompt addresses. Each category contains:
- Prompt Files: The prompts themselves, written in plain text or JSON for easy integration.
- Explanations: Detailed breakdowns of the prompt's structure, rationale, and key components.
- Examples: Demonstrations of how the prompt performs in specific scenarios.
- Tips for Customization: Guidance on modifying prompts for different models or applications.
Prompts designed for building interactive assistants and chat systems.
Generate compelling narratives, characters, and dialogue.
Use cases like coding assistance, debugging, and documentation generation.
Prompts for tutoring, quizzes, and concept explanations.
Optimized for tasks such as summarization, report generation, and marketing.
- Clear Goals: Each prompt is designed with a specific objective to maximize its effectiveness.
- Modular Structure: Prompts are flexible and customizable, making them suitable for a wide variety of models and scenarios.
- Tested Across Models: Compatibility verified with OpenAI's GPT series, Anthropic's Claude, Google Bard, and others.
- Context Management: Techniques for maintaining continuity in conversations or documents.
Clone the Repository:
git clone https://github.com/pestafford/promptengineering.git
cd promptengineering
Browse the Categories: Navigate to the folder relevant to your project.
Experiment with Prompts: Copy a prompt and use it with your preferred LLM platform (e.g., OpenAI, Hugging Face).
Read Explanations: Learn how each prompt works and how you can adapt it.
Contribute: If you create your own variations or new prompts, feel free to submit a pull request!
Each prompt is accompanied by:
How it works: Explanation of key components and principles. Why it works: Insights into the design decisions. How to customize it: Tips for adapting the prompt to different use cases or LLMs.
Contributions are welcome! Here's how you can get involved:
Fork the repository. Create a feature branch:
git checkout -b feature/your-feature-name.
Commit your changes:
git commit -m 'Add your feature here'.
Push to the branch:
git push origin feature/your-feature-name.
Open a pull request, and I’ll review it.
This repository is licensed under a Creative Commons Attribution License. You are free to use, modify, and share the content within the terms of this license.
I’m always excited to collaborate or discuss ideas in prompt engineering and AI!
Email: pe.stafford[at]gmail.com
Thank you to the amazing LLM and AI communities that inspire creativity and innovation every day. Special thanks to collaborators and contributors who share a passion for advancing AI responsibly.
By creating this repository, I aim to build not just a collection of prompts but a community-driven space to explore, refine, and push the boundaries of what's possible with LLMs. Let's create something remarkable together!