#large language model
962 related articles
·2 min
Gamified Learning with NotebookLM: Activate Your Notes Using the Sherlock Holmes Deduction Method
Google NotebookLM launches a Sherlock Holmes notebook template, turning passive note review into interactive deduction games. Learn how the Deduce-Uncover-Prove method enables gamified learning.
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·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.
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·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.
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·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.
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·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.
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·2 min
Claude Code + Codex: The Most Reliable Division of Labor — A Three-Phase Approach of Planning, Execution, and Review
A detailed guide to the Claude Code and Codex collaborative workflow: Claude Code handles architecture planning and code review, while Codex handles execution. Boost dev efficiency through standardized handoffs.
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·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.
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·4 min
Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path
Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.
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·3 min
Grill Me Skill: Let AI Interrogate You to Rapidly Extract Tacit Knowledge and Boost Project Efficiency
Learn how the Grill Me skill uses AI-driven systematic questioning to extract tacit knowledge, with checkpoint mechanisms to optimize context quality and boost first-iteration success from 70% to 90%.
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·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.
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·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%.
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·4 min
Real-World Comparison of Chinese AI Coding Models: Which One Best Generates a Complete E-Commerce System in One Shot?
Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.
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·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.
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·3 min
OpenAI Codex App In-Depth Review: Streets Parallel Development and Five Core Features Explained
In-depth review of OpenAI Codex App's five core features: Streets parallel development, deep Git integration, Skills system, Automation tasks, and MCP support.
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·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.
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·4 min
Core Methodology of Prompt Engineering: A Systematic Deep Dive from Principles to Practice
A deep dive into prompt engineering principles and core methodology. Master three keys to high-quality prompts: specific, rich, and unambiguous. Learn tuning techniques and advanced programming integration.
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·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.
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·3 min
Claude Code + Codex: The Best Practice of One-Writes-One-Reviews AI Programming
A detailed guide on using Claude Code for writing and Codex for reviewing in AI programming. Includes a five-step closed-loop workflow and cross-validation techniques.
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·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.
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Hooks and Skills: A Guide to Upgrading…
·3 min
Hooks and Skills: A Guide to Upgrading AI Programming Workflows from Manual Reminders to Automated Systems
Deep dive into Claude Code's Hooks and Skills mechanisms. Learn to build safe, reliable AI programming workflows with a three-layer architecture (Cloud.md + Hooks + Skills).
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