ai-system-prompt
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thekishandev/ai-system-prompt
$git clone https://github.com/thekishandev/ai-system-promptA comprehensive collection of official system prompts and AI models from leading AI development platforms.
README.md
| 1 | # AI System Prompts & Models Collection |
| 2 | |
| 3 | A comprehensive collection of official system prompts and AI models from leading AI development platforms. |
| 4 | |
| 5 | ## 📚 Overview |
| 6 | |
| 7 | 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. |
| 8 | |
| 9 | ## 🚀 Quick Start |
| 10 | |
| 11 | 1. Clone the repository: |
| 12 | ```bash |
| 13 | git clone https://github.com/yourusername/ai-system-prompts.git |
| 14 | cd ai-system-prompts |
| 15 | ``` |
| 16 | |
| 17 | 2. Explore the collections: |
| 18 | - Navigate through different platform folders |
| 19 | - Review the documentation in each section |
| 20 | - Check out example implementations |
| 21 | |
| 22 | ## ✨ Features |
| 23 | |
| 24 | - **Comprehensive Collection**: Access to multiple AI platform implementations |
| 25 | - **Detailed Documentation**: In-depth explanations of system architectures |
| 26 | - **Code Examples**: Practical implementations and usage patterns |
| 27 | - **Regular Updates**: New platforms and features added periodically |
| 28 | - **Community Driven**: Contributions from AI enthusiasts worldwide |
| 29 | - **Advanced AI Tools**: Integration with popular AI frameworks and libraries |
| 30 | - **Custom Models**: Pre-trained models for specific use cases |
| 31 | - **API Integrations**: Ready-to-use API wrappers for various AI services |
| 32 | |
| 33 | ## 🛠 Additional AI Tools |
| 34 | |
| 35 | ### Language Models |
| 36 | - **GPT-4 Integration**: Implementation examples and best practices |
| 37 | - **Claude Integration**: System prompts and usage patterns |
| 38 | - **LLaMA Integration**: Custom implementations and optimizations |
| 39 | |
| 40 | ### Computer Vision |
| 41 | - **DALL-E Integration**: Image generation and manipulation |
| 42 | - **Stable Diffusion**: Custom model implementations |
| 43 | - **Vision Models**: Object detection and recognition |
| 44 | |
| 45 | ### Natural Language Processing |
| 46 | - **BERT Implementations**: Custom fine-tuning examples |
| 47 | - **Transformer Models**: Architecture and implementation details |
| 48 | - **Text Classification**: Pre-trained models and examples |
| 49 | |
| 50 | ### Audio Processing |
| 51 | - **Whisper Integration**: Speech-to-text implementations |
| 52 | - **Audio Generation**: Text-to-speech models and examples |
| 53 | |
| 54 | ## 🔌 Integrations |
| 55 | |
| 56 | - **OpenAI API**: Complete integration examples |
| 57 | - **Hugging Face**: Model deployment and usage |
| 58 | - **TensorFlow**: Custom model implementations |
| 59 | - **PyTorch**: Advanced model architectures |
| 60 | - **LangChain**: Chain of thought implementations |
| 61 | - **AutoGPT**: Autonomous agent examples |
| 62 | |
| 63 | ## 📖 Documentation |
| 64 | |
| 65 | Each platform folder contains: |
| 66 | - System prompt analysis |
| 67 | - Implementation details |
| 68 | - Best practices |
| 69 | - Usage examples |
| 70 | - Architecture diagrams |
| 71 | - Performance considerations |
| 72 | - API documentation |
| 73 | - Integration guides |
| 74 | - Troubleshooting guides |
| 75 | - Performance benchmarks |
| 76 | |
| 77 | ## 🗂 Repository Structure |
| 78 | |
| 79 | ### Available Collections |
| 80 | |
| 81 | - **v0/** - System prompts and tools from v0 |
| 82 | - **Manus/** - Manus platform implementation details |
| 83 | - **Same.dev/** - Same.dev platform components |
| 84 | - **Lovable/** - Lovable AI system architecture |
| 85 | - **Cursor/** - Cursor IDE AI integration |
| 86 | - `cursor_ask.txt` *(coming soon)* |
| 87 | - `cursor_edit.txt` *(coming soon)* |
| 88 | - **Tools/** - Additional AI tools and implementations |
| 89 | - `language_models/` - Language model implementations |
| 90 | - `vision_models/` - Computer vision implementations |
| 91 | - `audio_models/` - Audio processing implementations |
| 92 | - `nlp_models/` - NLP model implementations |
| 93 | - `awesome_dev_tools.md` - Comprehensive list of free developer tools |
| 94 | - `awesome_ai_tools.md` - Comprehensive list of free AI tools for developers |
| 95 | |
| 96 | ## 🎯 Use Cases |
| 97 | |
| 98 | - Study and understand AI system architectures |
| 99 | - Learn from production-grade AI implementations |
| 100 | - Research AI prompt engineering techniques |
| 101 | - Compare different AI platform approaches |
| 102 | - Build custom AI solutions |
| 103 | - Integrate AI into existing applications |
| 104 | - Develop autonomous AI agents |
| 105 | - Create AI-powered applications |
| 106 | |
| 107 | ## 🛠️ Developer Resources |
| 108 | |
| 109 | - **[Awesome Free Developer Tools](Tools/awesome_dev_tools.md)** - A curated list of fr |
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