#LLM

656 related articles

2026年6月8日·3 min

Vibe Coding in Practice: A Junior Student Uses Cursor to Build a Multi-Agent System with 51 AI Officials Based on the Three Departments and Six Ministries Framework

A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

2026年6月8日·2 min

How to Connect Codex to DeepSeek Models: Free Switching via CC Switch

Learn how to connect OpenAI Codex to DeepSeek models via CC Switch, enabling free switching between DeepSeek and GPT with complete setup and routing guide.

2026年6月8日·2 min

NotebookLM Anniversary Data Revealed: The Source-Driven AI Revolution Behind 1.5 Billion Notebooks

Google NotebookLM celebrates its anniversary with 1.5 billion notebooks, audio overviews, and slides created. A deep dive into its source-driven AI design, core features, and future direction.

2026年6月8日·2 min

v0 Integrates with Shopify: AI Conversations Generate Production-Grade E-Commerce Websites

Vercel's AI tool v0 announces deep Shopify integration, enabling users to generate production-ready e-commerce storefronts via natural language prompts.

2026年6月8日·1 min

Cursor System Outage: Paid Users Hit by Quota Restrictions, Official Fix Underway

AI coding tool Cursor confirms a system outage affecting paid user quotas and limits. Learn about the impact, workarounds, and alternative tools for developers.

2026年6月7日·4 min

Anthropic's Official Breakdown: Three Core Components for Building AI Agents

Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.

2026年6月7日·4 min

Can't Fill Out Prompt Templates Properly? The Four-Module Incremental Method Doubles Your AI Output Quality

Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.

2026年6月7日·4 min

Core Principles of Coding Agents: How Perception and Context Engineering Determine AI Coding Effectiveness

Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.

2026年6月7日·4 min

Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

2026年6月7日·4 min

The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques

A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.

2026年6月7日·4 min

The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model

Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.

2026年6月7日·3 min

Claude Code + Codex Cross-Validation: Dramatically Reducing AI Coding Bug Rates

Learn how to combine Claude Code and Codex in a cross-validation workflow — a develop-review-fix loop that dramatically reduces AI coding bug rates.

2026年6月7日·3 min

Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering

A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.

2026年6月7日·3 min

Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts

Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.

2026年6月7日·2 min

CreateNow Agent Configuration Tutorial: One-Click Integration with DeepSeek and Other Major LLMs

Step-by-step guide to configuring CreateNow agents with DeepSeek, Kimi, and Xiaomi LLMs. Covers one-click setup, custom model integration, and API Key acquisition for building AI digital employees.

2026年6月7日·3 min

CreateNow Controlled Development in Practice: Getting AI to Write Code Requirement by Requirement

Hands-on with CreateNow's controlled AI development: from requirements breakdown to modular coding. Covers model selection, breakpoint-resume, and acceptance checks.

2026年6月7日·2 min

ChatGPT Merges with Codex: What a 24-Hour Autonomous AI Assistant Means

OpenAI fully integrates Codex into ChatGPT, creating an AI digital worker capable of autonomous planning and up to 24 hours of continuous execution. A deep dive into core upgrades, use cases, and industry impact.

2026年6月7日·4 min

Making 5-Figure Monthly Income with AI-Developed Chrome Extensions: A Complete Hands-On Guide

Learn how to use AI tools to develop Chrome extensions for overseas monetization, covering demand research, Cursor development, store review, and subscription revenue with a 28-day timeline.

2026年6月7日·3 min

Claude Code Tutorial: Complete Guide to Installation, Configuration, and Connecting Chinese LLMs

Complete guide to installing Claude Code, connecting Chinese LLMs like DeepSeek, and practical usage tips. Covers three usage modes, hands-on examples, and advanced techniques.

2026年6月7日·2 min

Complete Guide to Installing and Configuring Claude Code: A Detailed Tutorial for Setting Up Your AI Programming Environment

Step-by-step guide to installing Claude Code, configuring Node.js, npm setup, login bypass, and connecting DeepSeek via CC Switch for AI-powered coding.