AI 开发 教程
系统化的 AI 开发学习路径。从提示词工程到模型微调，从 RAG 到 Agent 开发，覆盖 AI 应用开发全栈知识。共 142 篇教程，18 个分类，入门到高级全覆盖。
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Introduction to the MCP Protocol: Building Standard Interfaces for AI Tool Calls
MCP (Model Context Protocol) is the hottest AI tool calling standard protocol in 2026. This article explains the MCP protocol principles from scratch, Server construction, Client integration, and a complete integration solution with DeepSeek API.
阅读教程 →Agent Loop Basics: Understanding AI Autonomous Workflows from Scratch
Agent Loop is the hottest AI development paradigm today. Starting from the ReAct pattern, this article helps you understand how AI achieves the autonomous loop of observation → planning → execution → feedback, and master the core concepts of Agent development.
阅读教程 →Function Calling in Practice: Let AI Invoke External Tools
Function Calling is the bridge connecting AI to the real world. Starting from scratch, this article explains the principles, implementation methods, and common application scenarios of Function Calling, enabling AI to query databases, send emails, and call APIs.
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