#large language models

742 related articles

2026年6月8日·4 min

OpenAI Codex Desktop Experience: A Zero-to-Hero Guide for AI Programming

A detailed hands-on experience with OpenAI Codex Desktop, covering interface features and real-world examples. Free users can try it now with parallel tasks and natural language programming.

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

Claude Mythos 5 Allegedly Spotted, Inside OpenAI's Equity Negotiations with the U.S. Government

Claude Mythos 5 briefly spotted in Anthropic's API sparking launch speculation; OpenAI negotiates equity transfer and public wealth fund with U.S. government for over a year; Hermes Agent V0.16.0 ships native desktop app with Chinese language support.

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

NotebookLM Mobile Adds Report Generation: Briefing Docs, Study Guides, and Blog Posts

Google NotebookLM mobile update adds three report generation features: Briefing Docs, Study Guides, and Blog Posts, letting users create professional documents from notes on the go.

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

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·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.

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·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.

2026年6月7日·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%.

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·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.

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·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.