《人工智能75年》是一部记录人工智能发展历程的电子书，深度解析了从1950年图灵测试提出到现代AI技术生态的完整演进过程。本书约11万字，7个核心章节，系统性地呈现了人工智能领域每一次重大技术突破背后的逻辑和脉络。
https://ai-evolution.isboyjc.com
在AI技术快速发展的今天，很多朋友对AI充满兴趣，但对其了解往往停留在表面。无论是恐慌式学习还是真正想要深入了解AI，大多数人都不知道从哪里开始。
本书旨在为读者提供一个清晰的AI发展全景图，让每个人都能理解人工智能这场人类智慧大冒险的完整故事。
- 系统性：从技术起源到现代应用的完整脉络梳理
- 专业性：基于大量国内外论文、文献的深度研究
- 可读性：用通俗易懂的语言解释复杂的技术概念
- 时效性：电子书形式支持持续更新和内容补充
- 交互性：基于现代Web技术，提供优秀的阅读体验
| 章节 | 标题 | 核心内容 |
|---|---|---|
| 第一章 | 智能起源 | 探索智能起源，图灵测试为AI的漫漫征途确立了第一个清晰目标 |
| 第二章 | 符号主义兴衰史 | AI第一个主导范式从诞生、辉煌到衰落的全过程 |
| 第三章 | 机器学习的崛起 | 连接主义、行为主义与统计学习推动AI进入数据驱动时代 |
| 第四章 | 深度学习的突破 | 深度学习通过自动特征学习实现的革命性突破 |
| 第五章 | Transformer时代 | Transformer架构开启大规模预训练模型新纪元 |
| 第六章 | 驯服大模型 | 如何让强大的语言模型变得有用、可靠且安全 |
| 第七章 | 现代AI技术生态 | RAG、Function Calling、Agent等技术构建的现代AI应用生态 |
本书适合所有对人工智能感兴趣的读者：
- 学生: 系统了解AI发展历程和核心概念
- 工程师: 深入理解各种AI技术的原理和应用
- 创业者: 把握AI技术发展趋势和商业机会
- 普通读者: 从技术视角理解AI对社会的影响
Isboyjc - 资深全栈程序员牛马
- GitHub: @isboyjc
- Email: isboyjc@gmail.com
- Bilibili: 不正经的前端
- YouTube: 不正经的前端
欢迎各种形式的贡献！如果你发现了错误、有改进建议或想要补充内容：
- Fork 本仓库
- 创建特性分支 (
git checkout -b feature/AmazingFeature) - 提交更改 (
git commit -m 'Add some AmazingFeature') - 推送到分支 (
git push origin feature/AmazingFeature) - 创建 Pull Request
- 纠错：发现文字错误、技术错误等
- 补充：添加遗漏的重要内容或案例
- 优化：改进文字表达、逻辑结构等
- 翻译：帮助翻译成其他语言版本
本项目采用 MIT 许可协议 - 详见 LICENSE 文件。
感谢所有为人工智能发展做出贡献的研究者和工程师，正是他们的努力让这个激动人心的时代成为可能。
特别感谢：
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你的支持是我们持续改进和更新内容的动力。
AI Evolution - 75 Years of Artificial Intelligence is an e-book that chronicles the development of artificial intelligence, providing an in-depth analysis of the complete evolution from the Turing Test proposed in 1950 to the modern AI technology ecosystem. This book contains approximately 110,000 words across 7 core chapters, systematically presenting the logic and context behind every major technological breakthrough in the field of artificial intelligence.
https://ai-evolution.isboyjc.com
In today's era of rapid AI development, many people are fascinated by AI but their understanding often remains superficial. Whether driven by panic-induced learning or genuine desire to understand AI, most people don't know where to start.
This book aims to provide readers with a clear panoramic view of AI development, enabling everyone to understand the complete story of this great human intelligence adventure.
- Systematic: Complete tracing from technological origins to modern applications
- Professional: In-depth research based on extensive domestic and international papers and literature
- Accessible: Complex technical concepts explained in easy-to-understand language
- Timely: E-book format supports continuous updates and content supplementation
- Interactive: Excellent reading experience based on modern web technology
| Chapter | Title | Core Content |
|---|---|---|
| Chapter 1 | Origins of Intelligence | Exploring the origins of intelligence, the Turing Test established the first clear goal for AI's long journey |
| Chapter 2 | Rise and Fall of Symbolism | The complete process of AI's first dominant paradigm from birth, glory to eventual decline |
| Chapter 3 | Rise of Machine Learning | Connectionism, behaviorism, and statistical learning driving AI into the data-driven era |
| Chapter 4 | Deep Learning Breakthrough | Revolutionary breakthroughs achieved through automatic feature learning in deep learning |
| Chapter 5 | The Transformer Era | Transformer architecture ushering in the new era of large-scale pre-trained models |
| Chapter 6 | Taming Large Models | How to make powerful language models useful, reliable, and safe |
| Chapter 7 | Modern AI Technology Ecosystem | Modern AI application ecosystem built with RAG, Function Calling, Agent and other technologies |
This book is suitable for all readers interested in artificial intelligence:
- Students: Systematic understanding of AI development history and core concepts
- Engineers: Deep understanding of principles and applications of various AI technologies
- Entrepreneurs: Grasping AI technology development trends and business opportunities
- General Readers: Understanding AI's impact on society from a technical perspective
Isboyjc - Senior Full-Stack Programmer
- GitHub: @isboyjc
- Email: isboyjc@gmail.com
- Bilibili: 不正经的前端
- YouTube: 不正经的前端
We welcome contributions of all kinds! If you find errors, have suggestions for improvement, or want to add content:
- Fork this repository
- Create a feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Create a Pull Request
- Error Correction: Find text errors, technical errors, etc.
- Supplementation: Add missing important content or cases
- Optimization: Improve text expression, logical structure, etc.
- Translation: Help translate into other language versions
This project is licensed under the MIT License - see the LICENSE file for details.
Thanks to all researchers and engineers who have contributed to the development of artificial intelligence. It is their efforts that make this exciting era possible.
Special thanks to:
- Fumadocs for providing an excellent documentation framework
- Next.js team for continuous innovation
- All original authors of referenced literature
If this project has been helpful to you, please give it a ⭐️!
Your support is our motivation to continuously improve and update content.