Project Description: ChatGPT System Prompts
What is the project about?
This project is a curated collection of system prompts used for ChatGPT and custom GPTs (Generative Pre-trained Transformers). It serves as an educational resource for learning how to write effective system prompts and create customized GPTs.
What problem does it solve?
The project addresses the challenge of understanding and crafting effective system prompts for large language models like ChatGPT. It provides examples and techniques to guide users in creating their own custom GPTs and understanding the security implications of prompt design. It also provides methods to extract the system prompts and knowledge files.
What are the features of the project?
- Collection of System Prompts: A repository of various system prompts for ChatGPT and custom GPTs.
- Educational Resource: Provides learning materials for writing system prompts and creating custom GPTs.
- Prompt Extraction Techniques: Includes methods and commands to extract system prompts from ChatGPT.
- Knowledge File Retrieval: Offers techniques to list and access files used by GPTs.
- Security Guidance: Provides advice and examples on how to protect GPT instructions from being leaked.
- Action Schema Discovery: Explains how to find the action schema of GPTs.
- GPT Indexing: Links to external resources for finding and exploring custom GPTs.
- Contribution Guidelines: Instructions for contributing new GPT prompts and information to the repository.
- Learning Resources: A list of external links and resources for further learning about prompt engineering and security.
What are the technologies used in the project?
- ChatGPT: OpenAI's large language model.
- Custom GPTs: Customized versions of ChatGPT.
- Markdown: The format used for documentation and prompt presentation.
- Python: Used for scripting tools (e.g.,
idxtool). - GitHub Actions: Used for automating tasks like table of contents generation.
- GPT Store: External websites that index and provide information about custom GPTs.
What are the benefits of the project?
- Improved Prompt Engineering Skills: Helps users learn how to write better prompts for interacting with language models.
- Custom GPT Creation: Enables users to create their own specialized GPTs.
- Security Awareness: Raises awareness about prompt injection vulnerabilities and provides mitigation strategies.
- Knowledge Sharing: Facilitates the sharing of prompts and techniques within the community.
- Understanding of LLM Behavior: Provides insights into how large language models respond to different prompts.
What are the use cases of the project?
- Learning Prompt Engineering: Beginners and experts can use the resource to learn and improve their prompt writing skills.
- Creating Custom GPTs: Developers and enthusiasts can use the examples to build their own custom GPTs for specific tasks.
- Security Research: Researchers can study the prompts and techniques to understand vulnerabilities and improve security.
- Prompt Sharing and Collaboration: The community can contribute and share prompts, fostering collaboration.
- Understanding LLM Limitations: Users can explore the limitations of language models and how to work around them.
