162 lines
6.1 KiB
Markdown
162 lines
6.1 KiB
Markdown
# AI System Prompts & Models Collection
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A comprehensive collection of official system prompts and AI models from leading AI development platforms.
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## 📚 Overview
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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.
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## 🚀 Quick Start
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1. Clone the repository:
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```bash
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git clone https://github.com/yourusername/ai-system-prompts.git
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cd ai-system-prompts
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```
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2. Explore the collections:
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- Navigate through different platform folders
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- Review the documentation in each section
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- Check out example implementations
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## ✨ Features
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- **Comprehensive Collection**: Access to multiple AI platform implementations
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- **Detailed Documentation**: In-depth explanations of system architectures
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- **Code Examples**: Practical implementations and usage patterns
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- **Regular Updates**: New platforms and features added periodically
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- **Community Driven**: Contributions from AI enthusiasts worldwide
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- **Advanced AI Tools**: Integration with popular AI frameworks and libraries
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- **Custom Models**: Pre-trained models for specific use cases
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- **API Integrations**: Ready-to-use API wrappers for various AI services
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## 🛠 Additional AI Tools
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### Language Models
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- **GPT-4 Integration**: Implementation examples and best practices
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- **Claude Integration**: System prompts and usage patterns
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- **LLaMA Integration**: Custom implementations and optimizations
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### Computer Vision
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- **DALL-E Integration**: Image generation and manipulation
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- **Stable Diffusion**: Custom model implementations
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- **Vision Models**: Object detection and recognition
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### Natural Language Processing
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- **BERT Implementations**: Custom fine-tuning examples
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- **Transformer Models**: Architecture and implementation details
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- **Text Classification**: Pre-trained models and examples
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### Audio Processing
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- **Whisper Integration**: Speech-to-text implementations
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- **Audio Generation**: Text-to-speech models and examples
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## 🔌 Integrations
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- **OpenAI API**: Complete integration examples
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- **Hugging Face**: Model deployment and usage
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- **TensorFlow**: Custom model implementations
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- **PyTorch**: Advanced model architectures
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- **LangChain**: Chain of thought implementations
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- **AutoGPT**: Autonomous agent examples
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## 📖 Documentation
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Each platform folder contains:
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- System prompt analysis
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- Implementation details
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- Best practices
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- Usage examples
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- Architecture diagrams
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- Performance considerations
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- API documentation
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- Integration guides
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- Troubleshooting guides
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- Performance benchmarks
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## 🗂 Repository Structure
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### Available Collections
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- **v0/** - System prompts and tools from v0
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- **Manus/** - Manus platform implementation details
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- **Same.dev/** - Same.dev platform components
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- **Lovable/** - Lovable AI system architecture
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- **Cursor/** - Cursor IDE AI integration
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- `cursor_ask.txt` *(coming soon)*
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- `cursor_edit.txt` *(coming soon)*
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- **Tools/** - Additional AI tools and implementations
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- `language_models/` - Language model implementations
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- `vision_models/` - Computer vision implementations
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- `audio_models/` - Audio processing implementations
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- `nlp_models/` - NLP model implementations
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- `awesome_dev_tools.md` - Comprehensive list of free developer tools
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- `awesome_ai_tools.md` - Comprehensive list of free AI tools for developers
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## 🎯 Use Cases
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- Study and understand AI system architectures
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- Learn from production-grade AI implementations
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- Research AI prompt engineering techniques
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- Compare different AI platform approaches
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- Build custom AI solutions
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- Integrate AI into existing applications
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- Develop autonomous AI agents
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- Create AI-powered applications
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## 🛠️ Developer Resources
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- **[Awesome Free Developer Tools](Tools/awesome_dev_tools.md)** - A curated list of free tools that every developer should use to improve productivity, code quality, and development workflow.
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- **[Awesome Free AI Tools](Tools/awesome_ai_tools.md)** - A comprehensive collection of free AI tools, frameworks, libraries, and resources for developers working with artificial intelligence.
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## 🤝 Contributing
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We welcome contributions! If you have suggestions for improvements or want to add new content:
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1. Fork the repository
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2. Create a new branch
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3. Submit a pull request
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4. Open an [issue](../../issues) for discussions
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## ❓ FAQ
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**Q: How can I use these system prompts in my project?**
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A: Review the documentation in each platform folder for specific implementation guidelines and best practices.
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**Q: Are there any usage restrictions?**
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A: This repository is for educational and research purposes. Please respect the intellectual property rights of the original platforms.
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**Q: How often is the repository updated?**
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A: We aim to update the repository monthly with new platforms and improvements.
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**Q: Can I contribute my own AI tools?**
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A: Yes! We welcome contributions of new AI tools and implementations. Please follow our contribution guidelines.
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## 📫 Connect & Support
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- **Twitter:** [Kishan Patel](https://x.com/KishanPatel_dev)
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- **LinkedIn:** [Kishan Patel](https://www.linkedin.com/in/kishan-patel-dev/)
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- **GitHub:** [Kishan Patel](https://github.com/Kishan-Patel-dev)
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## ⭐ Show Your Support
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If you find this repository useful, please consider:
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- Starring the repository
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- Sharing it with your network
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- Contributing to its growth
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- Following for updates
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 🔄 Project Status
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---
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*Note: This repository is for educational and research purposes only. Please respect the intellectual property rights of the original platforms.*
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