This repository contains a collection of technical knowledge maps and detailed explanations about various cutting-edge technologies. The content is written in Chinese and covers several important areas in modern technology.
.
├── README.md
├── docs/
│ ├── images/ # Contains all images used in the documentation
│ │ ├── 大模型(LLM).png
│ │ ├── 检索增强生成(RAG).png
│ │ ├── Web3.png
│ │ ├── 稳定币.png
│ │ ├── SQL.png
│ │ ├── Python.png
│ │ └── 企业级应用开发.png
│ ├── 稳定币.md
│ ├── 检索增强生成(RAG).md
│ ├── 大模型.md
│ ├── Web3.md
│ ├── SQL.md
│ ├── Python.md
│ └── 企业级应用开发.md
A comprehensive guide about stablecoins, their mechanisms, and their role in the cryptocurrency ecosystem.
Detailed explanation of Retrieval-Augmented Generation, a technique that enhances large language models with external knowledge.
In-depth analysis of large language models, their architecture, capabilities, and applications.
Overview of Web3 technologies, including blockchain, decentralized applications, and the future of the internet.
Comprehensive guide to SQL (Structured Query Language), covering database design, query optimization, and best practices.
Complete overview of Python programming language, including core concepts, advanced features, and popular frameworks for various applications.
Comprehensive guide to enterprise application development, covering architecture patterns, best practices, and modern development methodologies.
This repository serves as a knowledge base for understanding complex technical concepts in the fields of:
- Blockchain and Cryptocurrency
- Artificial Intelligence and Machine Learning
- Web3 and Decentralized Technologies
- Database and Data Management
- Programming Languages and Software Development
- Enterprise Software Architecture and Development
Each markdown file contains detailed explanations, technical concepts, and practical insights about its respective topic.
Feel free to contribute to this repository by:
- Adding new technical topics
- Improving existing content
- Correcting any inaccuracies
- Adding more detailed explanations
- Adding relevant images to the
docs/images
directory
This project is open source and available under the MIT License.