AI System Prompts & Models Collection

A comprehensive collection of official system prompts and AI models from leading AI development platforms.

📚 Overview

This repository contains detailed insights into the system prompts and internal tools used by various AI platforms, providing over 5,500+ lines of code and documentation. This collection serves as a valuable resource for developers, researchers, and AI enthusiasts interested in understanding the inner workings of these platforms.

🚀 Quick Start

1. Clone the repository:

   git clone https://github.com/yourusername/ai-system-prompts.git
   cd ai-system-prompts

2. Explore the collections:

   • Navigate through different platform folders
   • Review the documentation in each section
   • Check out example implementations

✨ Features

• Comprehensive Collection: Access to multiple AI platform implementations
• Detailed Documentation: In-depth explanations of system architectures
• Code Examples: Practical implementations and usage patterns
• Regular Updates: New platforms and features added periodically
• Community Driven: Contributions from AI enthusiasts worldwide
• Advanced AI Tools: Integration with popular AI frameworks and libraries
• Custom Models: Pre-trained models for specific use cases
• API Integrations: Ready-to-use API wrappers for various AI services

🛠 Additional AI Tools

Language Models

• GPT-4 Integration: Implementation examples and best practices
• Claude Integration: System prompts and usage patterns
• LLaMA Integration: Custom implementations and optimizations

Computer Vision

• DALL-E Integration: Image generation and manipulation
• Stable Diffusion: Custom model implementations
• Vision Models: Object detection and recognition

Natural Language Processing

• BERT Implementations: Custom fine-tuning examples
• Transformer Models: Architecture and implementation details
• Text Classification: Pre-trained models and examples

Audio Processing

• Whisper Integration: Speech-to-text implementations
• Audio Generation: Text-to-speech models and examples

🔌 Integrations

• OpenAI API: Complete integration examples
• Hugging Face: Model deployment and usage
• TensorFlow: Custom model implementations
• PyTorch: Advanced model architectures
• LangChain: Chain of thought implementations
• AutoGPT: Autonomous agent examples

📖 Documentation

Each platform folder contains:

• System prompt analysis
• Implementation details
• Best practices
• Usage examples
• Architecture diagrams
• Performance considerations
• API documentation
• Integration guides
• Troubleshooting guides
• Performance benchmarks

🗂 Repository Structure

Available Collections

• v0/ - System prompts and tools from v0
• Manus/ - Manus platform implementation details
• Same.dev/ - Same.dev platform components
• Lovable/ - Lovable AI system architecture
• Cursor/ - Cursor IDE AI integration
  • cursor_ask.txt (coming soon)
  • cursor_edit.txt (coming soon)
• Tools/ - Additional AI tools and implementations
  • language_models/ - Language model implementations
  • vision_models/ - Computer vision implementations
  • audio_models/ - Audio processing implementations
  • nlp_models/ - NLP model implementations
  • awesome_dev_tools.md - Comprehensive list of free developer tools
  • awesome_ai_tools.md - Comprehensive list of free AI tools for developers

🎯 Use Cases

• Study and understand AI system architectures
• Learn from production-grade AI implementations
• Research AI prompt engineering techniques
• Compare different AI platform approaches
• Build custom AI solutions
• Integrate AI into existing applications
• Develop autonomous AI agents
• Create AI-powered applications

🛠️ Developer Resources

• Awesome Free Developer Tools - A curated list of free tools that every developer should use to improve productivity, code quality, and development workflow.
• Awesome Free AI Tools - A comprehensive collection of free AI tools, frameworks, libraries, and resources for developers working with artificial intelligence.

🤝 Contributing

We welcome contributions! If you have suggestions for improvements or want to add new content:

1. Fork the repository
2. Create a new branch
3. Submit a pull request
4. Open an issue for discussions

❓ FAQ

Q: How can I use these system prompts in my project?
A: Review the documentation in each platform folder for specific implementation guidelines and best practices.

Q: Are there any usage restrictions?
A: This repository is for educational and research purposes. Please respect the intellectual property rights of the original platforms.

Q: How often is the repository updated?
A: We aim to update the repository monthly with new platforms and improvements.

Q: Can I contribute my own AI tools?
A: Yes! We welcome contributions of new AI tools and implementations. Please follow our contribution guidelines.

📫 Connect & Support

• Twitter: Kishan Patel
• LinkedIn: Kishan Patel
• GitHub: Kishan Patel

⭐ Show Your Support

If you find this repository useful, please consider:

• Starring the repository
• Sharing it with your network
• Contributing to its growth
• Following for updates

📄 License

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

🔄 Project Status

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Note: This repository is for educational and research purposes only. Please respect the intellectual property rights of the original platforms.