Welcome to ProomptVault, your go-to repository for curated prompts to use with large language models (LLMs). Whether you're a developer, researcher, or enthusiast, this collection of prompts will help you get the most out of your LLMs.

Table of Contents

• Introduction
• Features
• Prompts
• Contribution Guidelines
• License
• Acknowledgements

Introduction

Large Language Models (LLMs) like GPT-4 are powerful tools capable of understanding and generating human-like text. However, the quality and utility of their outputs depend significantly on the prompts given to them. ProomptVault aims to provide a diverse collection of well-crafted prompts to help you harness the full potential of LLMs.

Features

• Diverse Categories: Prompts for various use cases including writing, coding, Q&A, translation, and more.
• Quality Prompts: Each prompt is tested and refined to ensure high-quality results.
• Easy to Use: Clear instructions and examples for each prompt.
• Community Driven: Contributions are welcome, making it a continuously growing resource.

Prompts

Please navigate to the prompts.md file to use the prompts that you need.

Contribution Guidelines

We welcome contributions from the community! If you have a prompt that you would like to add to ProomptVault, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-prompt-name).
3. Add your prompt in the appropriate section in the README.md file.
4. Commit your changes (git commit -m 'Add new prompt: your-prompt-name').
5. Push to the branch (git push origin feature/your-prompt-name).
6. Create a Pull Request.

Please ensure your prompts are well-tested and documented. Include examples and any relevant instructions. Also ensure that you add a category to the prompt based on the categories given in categories.md file.

More guidelines are enlisted in the CONTRIBUTING.md file, please look onto it.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

CODE OF CONDUCT

Make sure you follow our rules and regulations by reading the code of conduct

Acknowledgements

• Thanks to the developers of the LLMs for their incredible work.
• Thanks to all contributors who have shared their prompts with the community.

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Happy prompting!