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🚀 AI Learning Roadmap: The Path to AGI

"The best way to predict the future is to invent it." — Alan Kay (and every AGI researcher)

Welcome to the hardcore mission to master Artificial Intelligence. This roadmap is designed with a First Principles approach, stripping away the noise to focus on the fundamental physics of intelligence and its practical application.

🗺️ Mission Architecture | 任务地图

The roadmap is structured into logical layers, moving from silicon to intelligence.

graph TD
    subgraph Layer 1: The Bedrock
        A[00. Prerequisites] --> B[01. AI Hardware]
    end
    subgraph Layer 2: The Core
        B --> C[02. LLM Core Concepts]
        C --> D[03. Local Deployment]
    end
    subgraph Layer 3: Interaction
        D --> E[04. Prompt Engineering]
        E --> F[05. RAG & Fine-tuning]
    end
    subgraph Layer 4: Autonomy
        F --> G[06. AI Agents]
        G --> H[07. Ethics & Safety]
    end
    subgraph Layer 5: Impact
        H --> I[08. Future Trends]
        I --> J[09. AI Applications]
    end
    style J fill:#f96,stroke:#333,stroke-width:4px

📚 Mission Syllabus | 任务大纲

🏗️ Hardcore Lab | 实验室

Stop reading, start shipping. Direct access to scripts, templates, and executable experiments.

📐 00. Prerequisites | 预备知识

  • Mathematics: Linear Algebra, Calculus, Probability. The language of AI.
  • Fundamentals: How neural networks actually function.

🔧 01. AI Foundations & Hardware | AI 基础与硬件

  • Global Landscape: Who owns the compute?
  • Local Choice: Building your own AI workstation.

🧠 02. LLM Core Concepts | 大模型核心概念

  • Transformer Deep Dive: The architecture that changed everything.
  • Emergence: Understanding how scale creates intelligence.

💻 03. Local Deployment & Quantization | 本地部署与量化

  • Ollama: Running high-performance models locally.
  • Quantization: Fitting a giant brain into a small box.

✍️ 04. Prompt Engineering | 提示工程

  • System Prompts: The hidden code behind Cursor and v0.
  • Advanced Techniques: CoT, ToT, and ReAct.

🔍 05. RAG & Fine-tuning | RAG 与微调

  • RAG: Giving AI a long-term memory.
  • Fine-tuning: Specialized training for specialized tasks.

🤖 06. AI Agent Development | AI 智能体开发

  • Frameworks: LangChain vs. AutoGen vs. CrewAI.
  • Autonomy: Building systems that think and act.

🛡️ 07. AI Ethics & Safety | AI 伦理与安全

  • Alignment: Ensuring AI goals match human values.
  • Defense: Protecting against prompt injection.
  • Embodied AI: When AI gets a physical body.
  • World Models: Predictive intelligence.

🎯 09. AI Applications Learning | AI 应用学习

  • Coding Mastery: Becoming an AI-augmented developer.
  • Global Deployment: Shipping your AI app to the world.

🔊 Accessibility

This site features a custom Bilingual Text-to-Speech (TTS) engine. Click the 🔊 button on any page to listen. We believe intelligence should be accessible to everyone.

🚀 "The future is not something that happens to us. It's something we create."