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A systematic guide to LangChain covering environment setup, model invocation, Prompt Templates, Output Parsers, LCEL chain expressions, and hands-on RAG implementation for beginners.
TutorialsA deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.

From project selection to deployment, learn how to build resume-worthy ML projects. Covers end-to-end workflows, tiered project recommendations, and practical tips for ML learners transitioning from beginner to intermediate.

How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.

A beginner's guide to prompt engineering covering the four functions of prompts, the key differences from prompt engineering, a six-step systematic workflow, and critical technical and practical limitations.

A systematic guide to AI Agent development across four stages: LLM fundamentals, ReAct paradigm, memory & tools, and multi-agent collaboration for developers.

A systematic guide to the complete learning path for AI Agent development—covering prompt engineering, RAG knowledge bases, LangChain & LangGraph, fine-tuning, and multi-agent collaboration.

A beginner-friendly guide to AI Agent development, covering the full learning path from LLM basics, prompt engineering, and RAG to LangChain and multi-agent collaboration.

A complete guide to learning AI Agents: from large model fundamentals and core technologies to hands-on projects. Systematically outlines beginner methods and exposes crash-course marketing traps.

Can AI coding tools really earn you $3K/month with zero experience? We break down the marketing hype around Codex freelancing, examine the 4-week roadmap, and reveal what AI-assisted coding can realistically offer.

Can beginners really earn over 10,000 yuan in their first month with AI coding gigs? This article breaks down the four-week AI coding learning path week by week and objectively assesses the real monetization barriers.

Vibe Coding is the new AI-era programming paradigm. Describe what you want in plain language; let AI generate the code. Learn the 3-stage path: mindset, quality, and real projects.

What is Vibe Coding? Learn this new AI programming paradigm from scratch — no CS degree needed. Use Claude Code, Cursor, and more to build real projects by describing your ideas.

Build a RAG knowledge base from scratch using Dify's low-code platform. A hands-on Delta Force game assistant case study covering agents, knowledge base setup, and private deployment.

A complete guide to deploying Dify 1.8.0: Docker setup, environment config, five app types explained, and workflow-building tips for beginners.

A 3-month structured roadmap for developers transitioning into AI/LLM engineering: Python & API basics, LangChain/FastAPI stack, and RAG/Agent projects.

Build an AI game assistant from scratch with no coding experience! This hands-on guide walks you through Dify + RAG — from knowledge base setup to agent creation and tuning.

Loop Engineering is an emerging AI dev paradigm where Agents iterate in controlled loops instead of one-shot outputs. Learn the 4-year evolution and what it means for developers.

A structured 4-week AI Agent learning roadmap: Week 1 covers LLMs & Prompt engineering, Week 2 ReAct paradigms, Week 3 RAG memory systems, Week 4 multi-agent architectures.

Coze is ByteDance's low-code AI Bot platform — no coding required. Learn the differences between domestic and international versions, core features, and why now is the best time to start building AI agents.