#LLM development tutorial
540 related articles
·5 min
The Complete Claude Code Guide: Installation, Core Features, and Advanced Workflows
An in-depth guide to Anthropic's Claude Code agentic coding tool, covering installation, pricing plans, model selection, token management, CLAUDE.md global memory, MCP integration, Subagents, and more.
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·3 min
Jetson Edge AI Development: Setting Up a VS Code + Claude Code Workstation
Set up an AI coding workstation on NVIDIA Jetson using VS Code + Claude Code. Covers JetPack NVIDIA Skills, token budget management, headless SSH dev, and coding agent best practices.
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·3 min
Vibe Coding in Practice: Building Your Core Competitive Edge with AI-Assisted Development
Vibe Coding is a new AI-era programming paradigm focused on logic over syntax. Use Claude Code, Cursor, and LangChain to ship products solo and 10x your productivity.
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·3 min
Coze for Beginners: A Complete Guide to Getting Started with the AI App Development Platform
Coze by ByteDance is an all-in-one AI app development platform for non-coders. Build AI agents with drag-and-drop — no programming needed. Complete beginner's guide.
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·4 min
Vibe Coding for Beginners: 4 Pitfalls Every Non-Coder Must Avoid
New to Vibe Coding? Avoid these 4 beginner traps: unclear AI boundaries, oversized goals, wrong role mindset, and C drive overflow. Real tips for non-coders.
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·3 min
14 Days of AI Programming: From Zero to Product with Vibe Coding
A zero-to-product AI coding bootcamp by Guo Ke: 14 live sessions, 6 real projects, covering Cursor, Trae, and Codex. Full walkthrough from setup to deployment.
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·3 min
Claude Code Practical Guide: Environment Setup, Git Workflows, and Engineering in Production
A complete guide to Claude Code: environment setup, switching to domestic LLMs, CLI commands, Git workflows, MCP, Subagents, and enterprise project walkthroughs.
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·2 min
OpenAI Codex Parallel Tasks in Practice: How to Run Multiple AI Coding Tasks Simultaneously
How OpenAI Codex Cloud runs multiple tasks in parallel using isolated containers, async workflows, and PR review. A practical guide to agentic coding efficiency.
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·3 min
Don't Start AI Learning with Machine Learning: A Beginner's Guide to the Onion Model
Gaurav Sen reveals the fatal trap in AI learning: starting from ML fundamentals often leads to burnout. Learn the Onion Model approach—RAG, Agents first, Transformers next, math last.
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·3 min
Understanding Large Language Models from Scratch: The Complete AI Evolution from Deep Blue to DeepSeek
A beginner-friendly guide clarifying AI, machine learning, deep learning, and LLMs — tracing the evolution from Deep Blue to AlphaGo, ChatGPT, and DeepSeek.
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·2 min
Dify × RAG for Beginners: Build Your Own Game AI Assistant from Scratch
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.
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·2 min
Complete Tutorial: Building Agents and Personal Knowledge Bases with DeepSeek
A complete guide to building AI agents with DeepSeek R1: private knowledge bases using RAG, basic/advanced agent implementation, and Coze/Dify workflow tutorials.
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·3 min
LangGraph Production Template in Practice: A Complete Guide to Budget Control and Canary Routing
Deep dive into langgraph-agent-stack: per-run dollar budget control, canary traffic routing, Mock testing mode, and 800+ test cases to safely deploy AI Agents from demo to production.
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·4 min
MiniMax M2 Local AI Knowledge Base Test: Source Tracing, Deduplication, and Fact Verification
Build a local AI knowledge base with MiniMax M2 in OpenCode: source tracing, fact vs. opinion separation, conflict preservation, and timeliness management.
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·3 min
Degree or Skills? Career Dilemmas and Breakthroughs for Career Changers
An electronics engineering student who hates hardware wants to pivot to backend dev, facing a dilemma between a "guaranteed" degree and a third-tier BCA. We break down the degree vs. skills tradeoff, how to explain gaps, and self-study paths.
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·3 min
Java Developers Transitioning to AI: A Practical Guide to Building RAG Knowledge Bases
How can Java developers break into AI? This guide covers the AI application engineer career path, RAG knowledge base fundamentals, vector database retrieval, and enterprise-grade RAG challenges.
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Anthropic Open-Sources CWC Workshops: …
·2 min
Anthropic Open-Sources CWC Workshops: A Hands-On Guide to Claude Development
Anthropic open-sources cwc-workshops on GitHub — a TypeScript-based, structured workshop covering Prompt design, Tool Use, and Agent orchestration to help developers master Claude integration.
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GitHub Daily · July 18: 3D Reconstruct…
·3 min
GitHub Daily · July 18: 3D Reconstruction Foundation Model Tops the Charts, AI Engineering and CLI Agents Explode Collectively
July 18 GitHub Daily: 3D reconstruction foundation model lingbot-map tops the charts, with AI engineering tooling, CLI Agents, and the MCP ecosystem exploding across the board.
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·2 min
Getting Started with Codex: A Practical Guide to OpenAI's AI Coding Assistant
A practical guide to OpenAI Codex: core features, Codex vs. Claude Code comparison, and why the Codex+DeepSeek combo doesn't work. Avoid common pitfalls and boost your coding productivity.
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·3 min
AI Agent 4-Week Learning Roadmap: A Complete Guide from Zero to Independent Development
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.
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