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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DeepSeek API Cost Optimization in Practice: Cache Hits Save 98%
DeepSeek V4 Flash cache hit input costs only ¥0.02/million tokens, saving 98% compared to a miss (¥1/million). This article details the cache mechanism, hit strategies, token management, and a Flash vs Pro selection guide.
阅读教程 →Zero-Code Migration: Replacing Claude API with DeepSeek
DeepSeek natively supports Anthropic API format compatibility; you only need to modify the base_url line to seamlessly migrate Claude applications to DeepSeek. This article details the migration steps, compatibility comparison table, and precautions, achieving cost reduction and efficiency improvement with zero code changes.
阅读教程 →DeepSeek × Claude Code Integration in Practice
DeepSeek has been integrated into mainstream agent tools such as Claude Code, GitHub Copilot, and OpenCode. This article provides a hands-on guide to using DeepSeek as the backend model to drive Claude Code, enjoying a top-tier coding experience with extremely low API costs.
阅读教程 →Token Usage Precision and Rate Limiting Strategies
Accurately calculating token usage is the foundation for controlling API costs. This article details token calculation methods, DeepSeek rate limiting rules, concurrency control, and request queue design in production environments.
阅读教程 →DeepSeek API from Zero to Launch: A Complete Project Walkthrough
Hands-on guide to building a complete AI application with DeepSeek API—an intelligent customer service system. From environment setup to API calls, from architecture design to frontend interaction, from testing to deployment, covering the entire process.
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