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4 / 200AI 开发实战教程,从零到一构建你的 AI 应用。
All200
Beginner32
Intermediate92
Advanced76
All
Prompt Engineering12
RAG Retrieval Augmented17
Agent Development34
Model Fine-tuning21
Deployment and Operations25
AI Application Development40
DeepSeek API16
Multimodal Development6
AI Safety6
Model Inference3
Retrieval Systems1
RAG Retrieval1
Model Architecture3
API Development1
Agent Development10
Model Deployment1
Multimodal1
Model Evaluation2
Tutorial
Date
DeepSeek Harness Explained: Agent = Model + Harness, Everything Is a Plugin
Agent Development
Beginner
DeepSeek Harness (dsh) is DeepSeek's MIT-licensed Agent runtime. Explore Agent = Model + Harness, its plugin core, four run modes, and how it differs from classic Agent frameworks.
Introduction to the MCP Protocol: Building Standard Interfaces for AI Tool Calls
Agent Development
Beginner
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.
Function Calling in Practice: Let AI Invoke External Tools
Agent Development
Beginner
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.
Agent Loop Basics: Understanding AI Autonomous Workflows from Scratch
Agent Development
Beginner
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.