#AI concepts explained
129 related articles
·3 min
AI Agent Development: A Three-Stage Learning Roadmap from Zero to One
A systematic three-stage AI Agent development roadmap: from Python basics and LLM fundamentals, through five core capabilities like planning and tool use, to hands-on RAG projects for real-world deployment.
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·1 min
CPU, GPU, and TPU: Core Differences and Best Use Cases Explained
Deep dive into CPU, GPU, and TPU architecture differences, strengths, and use cases. Understand why GPUs excel at AI training and TPUs specialize in ML workloads.
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·2 min
GitHub Copilot SDK Deep Dive: Core Features and Practical Guide
Deep dive into GitHub Copilot SDK: Agent Loop, Hooks lifecycle control, Custom Agents orchestration, Skills modules, and local model integration for AI app development.
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·3 min
Deep Dive into the 198-Page Codex Chinese Manual: A Complete Guide from Beginner to Advanced
Deep breakdown of ByteDance's internal 198-page Codex Chinese manual covering installation, Commands, MCP workflows, Skills templates, multi-Agent collaboration, and background task scheduling.
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·3 min
6 Practical Prompt Techniques to 10x the Quality of AI Responses
6 proven prompt techniques — role-playing, deep questioning, adversarial critique, failure pre-mortem, reverse engineering, and dual-version explanation — to dramatically improve AI output quality.
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·3 min
The Complete Guide to Prompt Engineering: From Zero to Practical Application
A complete guide to learning Prompt Engineering, covering LLM selection, prompt writing techniques, zero-shot/few-shot prompting, chain of thought reasoning, and Python API development.
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·3 min
OpenAI Codex CLI Practical Guide: From Installation and Configuration to Enterprise-Level Development
A deep dive into OpenAI Codex CLI's core capabilities and practical usage, covering setup, agents.md configuration, slash commands, MCP protocol, multi-agent collaboration, and RAG system development.
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·3 min
The Complete Guide to OpenAI Codex CLI: From Installation and Configuration to Enterprise-Level Practice
In-depth guide to OpenAI Codex CLI: covering installation, agents.md design, multi-agent collaboration, MCP protocol integration, and a RAG customer service project.
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·4 min
Codex Hands-On Tutorial: From Installation and Configuration to Enterprise-Level Project Development
A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.
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·4 min
UniApp Beginner Tutorial: Build Multi-Platform Apps with One Codebase
In-depth analysis of a UniApp zero-to-hero APP development course covering HTML, CSS, JavaScript, and UniApp, with project-driven teaching and learning path recommendations.
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·3 min
Testing DeepSeek's Safety Mechanisms: Multiple Jailbreak Attempts Successfully Blocked
An overseas security blogger systematically tested DeepSeek's jailbreak resistance using direct requests, rephrased prompts, and varied strategies. Results show robust intent recognition, consistent blocking, and context-aware safety mechanisms.
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·3 min
Developing a 2D RPG with Godot 4: A Hands-On Tutorial for Complete Beginners
A complete tutorial on building a 2D RPG from scratch with Godot 4 and GDScript, covering tilemaps, character controls, enemy AI combat, and scene transitions for beginners.
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·4 min
Connecting OpenAI Codex to Chinese AI Models: A Zero-Barrier AI Programming Guide
Learn how to connect OpenAI Codex to Chinese AI models like DeepSeek and Volcano Engine via CC Switch, with a step-by-step guide and a 2048 game demo.
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·4 min
Harness Engineering in Practice: Integrating AI-Driven Development into Enterprise Workflows
A deep dive into Harness Engineering methodology — from Prompt Engineering to Context Engineering to Harness Engineering — covering enterprise setup, Skill systems, and pipeline-style AI programming.
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·2 min
ROS2 Beginner's Guide: Version Selection, Environment Setup & Career Prospects
Complete ROS2 beginner's guide covering core concepts, version selection, Ubuntu VM environment setup, and robotics developer career prospects and salaries.
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·2 min
Claude Code Best Practices Course: The Agentic Programming Guide Recommended by Andrew Ng
DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.
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·3 min
A $10 Million Research Fund Launches: What Happens When Millions of AI Agents Interact with Each Other?
Google.org and Schmidt Sciences launch a $10M fund to study collective behavior and emergent risks of multi-agent AI systems, from flash crashes to mass AI Agent deployment.
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·2 min
Codex Beginner's Practical Guide: Master Core AI Programming Skills in One Weekend
OpenAI Codex beginner's practical guide covering environment setup, code generation, bug fixing, and project refactoring. Includes efficient learning tips and Prompt techniques for fast AI programming mastery.
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·4 min
What Is Google WebMCP? A Deep Dive into the New Standard for AI Agents to Directly Invoke Web Functionality
A deep dive into Google WebMCP (Web Model Context Protocol): how it works, its technical implementation, and use cases. Learn how WebMCP lets AI Agents directly invoke web tools.
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·4 min
Claude Code Workflow in Practice: From Requirement Grilling to AFK Agent Auto-Coding
A detailed walkthrough of building real features with Claude Code: Grill Me requirement interrogation, auto-generated PRDs, AFK agent coding, and QA iteration loops with DDD and TDD strategies.
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