#large language model
1080 related articles
Tutorials·2 min
Complete Guide to the Coze Platform: Build AI Applications with Zero Code
A comprehensive guide to Coze (扣子) by ByteDance: learn about agents, workflows, plugins, model selection, and resource credits to build AI apps with zero code.
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Tutorials·3 min
Dify Local Deployment Tutorial: Setting Up an AI Development Platform from Scratch with BT Panel + Docker
Step-by-step tutorial on deploying Dify locally using VMware, Ubuntu, BT Panel, and Docker. Covers environment setup, common error fixes, and next steps for building AI apps.
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Product Reviews·3 min
Moore Threads AI Coding Plan: A Fully Domestic AI Programming Service with 30-Day Free Trial
Moore Threads launches AI Coding Plan powered by its MTT S5000 GPU and GLM-4 code model, achieving full-stack domestic AI coding. Compatible with VS Code and Cursor, with a 30-day free trial.
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Product Reviews·2 min
Claude Code Hands-On: From Typing a Prompt to Launching a Website in Minutes
Claude Code demo hands-on: build and deploy a full-stack app via natural language in minutes — covering front-end UI, back-end logic, database, and deployment with zero handwritten code.
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Tutorials·2 min
Building a Local Knowledge Graph RAG System with Dify + Neo4j: A Hands-On Guide
A hands-on guide to building a local knowledge graph RAG system using Dify, Neo4j, and Docker for multi-hop reasoning and secure local deployment.
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Tutorials·2 min
Vue3 + Node.js Full-Stack Tutorial: Building an AI Travel Assistant
Learn how to build an AI travel assistant using Vue3, Node.js, and Alibaba's Qwen LLM, covering multi-turn dialogue, function calling, product recommendations, and full deployment.
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Tutorials·4 min
Building a WeChat Mini Program with Cursor: A Practical Guide to AI Programming Pitfalls and Technical Decisions
Real-world experience building a WeChat Mini Program with Cursor, covering product design, technical pitfalls, and creative LLM API usage — a practical guide for AI programming beginners.
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Tutorials·2 min
LangChain 1.0 Complete Guide: Architecture, Core Modules, and Learning Path
Deep dive into LangChain 1.0's three-layer architecture (LangChain, LangGraph, Deep Agents), core components like Models, Tools, and Memory, plus a complete learning path from semantic search to multi-agent collaboration.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Product Reviews·3 min
LinCTX: The Open-Source Tool That Saves 99% of Tokens for AI Coding Assistants
LinCTX is a Rust-based open-source tool that uses smart compression and caching to cut 60%-99% of token costs for AI coding assistants like Cursor and Claude Code.
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Tutorials·4 min
Claude Code Agent Architecture Source Code Deep Dive: Agent Loop and Tool System in Practice
Deep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
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Tutorials·1 min
AI-Assisted Web Scraping Reverse Engineering: Automated Environment Patching Workflow & Monetization Analysis
Learn how AI automates browser environment patching in web scraping reverse engineering, cutting hours of manual work to minutes, plus market demand and monetization analysis.
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Tutorials·1 min
Harness Engineering: Essential Architecture Guide for Agent Development
Deep dive into Harness Engineering architecture for AI agents: multi-agent collaboration, memory management, middleware design, MCP integration, and LangChain's DeepAgent framework.
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Tutorials·2 min
Claude Code Chinese Tutorial Resources: Breaking Through the English Documentation Barrier
A roundup of Claude Code Chinese learning resources, analyzing barriers from English-only docs and introducing systematic Chinese manuals covering setup, commands, configuration, and real-world cases.
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Product Reviews·3 min
WhichLLM: One Command to Find the Best Local LLM for Your Hardware
WhichLLM is an open-source tool that auto-detects your hardware and recommends the best local LLM using real benchmark data. Simulate GPUs, filter fake benchmarks, and start chatting in one command.
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Tutorials·3 min
Claude Code in Practice: Plan Mode and MCP Automated Development Tips Explained
A deep dive into advanced Claude Code techniques: precise file referencing, Plan Mode for plan-first development, screenshot-driven UI iteration, project memory rules, and Playwright MCP server integration for fully automated testing.
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Tutorials·1 min
Essential Skills for LLM Engineers: A Complete Guide to Application Development and Fine-Tuning
A systematic guide to LLM engineer core skills covering RAG, Agent app development and SFT, RLHF fine-tuning, with clear learning paths for different backgrounds.
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Tutorials·3 min
DeepSeek V4 + Claude Code in Practice: Building a C++ Browser from Scratch
Using Claude Code with DeepSeek V4 API to build a C++ browser from scratch with wxWidgets and WebKit 2, covering tech choices, iterations, bug fixes, and AI coding insights.
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Tutorials·3 min
Building HarmonyOS Apps with Claude Code from Scratch: From an NPS Tool to a Gomoku Game
A zero-coding creator built native HarmonyOS apps using Claude Code, including an NPS management tool and a Gomoku game. See the full AI-powered dev workflow.
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Tutorials·3 min
Building HarmonyOS Apps with Claude Code from Scratch: From an NPS Tool to a Gomoku Game
A zero-coding beginner built native HarmonyOS apps using Claude Code, including an NPS management tool and a Gomoku game. See the full AI-powered development workflow and its implications.
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