#AI large language model
53 related articles
·2 min
Scientific Achievements Deserve Public Applause: Why We Should Give Standing Ovations for Scientific Breakthroughs
Scientific achievements receive far less public attention than entertainment and sports. This article explores why we should applaud scientific breakthroughs and how AI is leading a new celebration culture.
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·3 min
AI Large Language Models Explained: Transformer Architecture & Practical Testing Guide
Deep dive into AI large model principles, from Transformer architecture to probabilistic inference, with practical guidance on LLM applications in testing and AI testing strategies.
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·3 min
OpenAI Codex Beginner's Guide: From Environment Setup to Enterprise-Level Practice
A systematic guide to OpenAI Codex and AI LLM learning, covering Transformer basics, dev environment setup, prompt engineering, RAG deployment, LoRA fine-tuning, and AI Agent enterprise projects.
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·4 min
Complete AI Large Language Model Learning Roadmap: From Beginner to Production-Ready
A systematic guide to learning AI large language models, covering Transformer architecture, prompt engineering, RAG, AI Agents, fine-tuning, and enterprise projects from beginner to production-ready.
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·3 min
AI Large Language Model Learning Roadmap for Beginners: A Complete Plan from Basics to Hands-On Practice
A systematic AI LLM learning roadmap for beginners covering prompt engineering, RAG, LangChain, Agents, and more — with timelines and project suggestions.
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·2 min
Java Backend Interview Prep Roadmap: A 6-Week Sprint Guide Integrating AI Agent Development
A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.
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·3 min
DeepSeek + Claude Code: A Deep Dive into How AI Automatically Builds Simulink Models
A deep dive into how DeepSeek and Claude Code automatically build Simulink models, explaining the roles of five core tools and their collaboration logic.
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·2 min
PawzoChat Cloud Deployment Tutorial: Complete Guide to Connecting an AI Virtual Companion to WeChat
Complete guide to deploying PawzoChat on a cloud server, covering Windows server setup, API configuration, AI character creation, WeChat binding, and remote access for 24/7 AI companion chat.
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·3 min
AI Large Language Model Learning Path: A Three-Step Practical Guide from Zero to Freelancing
A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.
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·3 min
Six Core Concepts of AI Large Language Models: The Complete Evolution from Chatbot to Autonomous Worker
Explore six core AI concepts — Agent, RAG, Function Calling, MCP, Skill, and Harness — and how they form a clear evolution from basic chatbots to autonomous AI workers.
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·4 min
Unity MCP Hands-On Guide: Lessons Learned from AI-Powered Game Engine Operations
In-depth hands-on guide to Unity MCP setup and usage, covering environment config, run_command best practices, Prefab sandbox workflows, and a comparison of Copilot, Claude Code, Codex, and DeepSeek.
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·2 min
15 Curated Programming MCP Tools: A Practical Guide from Browser Debugging to One-Click Deployment
15 curated programming MCP Servers tested hands-on: Chrome DevTools, Neon, Figma-to-code, Vercel deployment & more, with Claude Code and Codex setup guides.
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·4 min
Claude + Trae IDE with Yakit: Automated Penetration Testing via MCP in Practice
Learn how to use Claude LLM with Trae IDE and MCP protocol to orchestrate Chrome browser and Yakit for automated penetration testing, covering setup, agents, and vulnerability detection.
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·4 min
MCP Protocol Explained: Architecture Principles and Hands-On Configuration Guide
Deep dive into MCP (Model Context Protocol): core concepts, four-layer architecture, and hands-on configuration. Learn how MCP transforms AI from a suggestion generator into a true executor.
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·3 min
CODESYS MCP Tools Explained: Configuration and Practice for AI-Driven PLC Programming
Detailed guide on CODESYS MCP Server architecture, 19 tool capabilities, IDE and AI client configuration, with traffic light and motion control program generation demos.
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·3 min
Complete Guide to OpenAI Codex CLI Built-in Commands and Session Recovery
Complete guide to all OpenAI Codex CLI slash commands including /compact, /status, /model, /approvals, plus codex resume session recovery tips for efficient AI coding workflows.
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·1 min
AI Coding Tool Selection Guide: In-Depth Comparison of Cursor, Copilot, and Trae
In-depth comparison of Cursor, GitHub Copilot, Windsurf, Trae, and other leading AI coding tools — covering features, pricing, and use cases to help developers pick the right AI assistant.
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·3 min
AI Large Language Models for Reverse Engineering: A Workflow That Boosts Freelance Efficiency by 10x
Learn how AI LLMs revolutionize JS reverse engineering—automating encryption cracking, signature reconstruction, and parameter analysis to boost freelance scraping efficiency by 10x.
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Getting Started with Claude Code: Setu…
·3 min
Getting Started with Claude Code: Setup, Configuration & AI-Driven Testing in Practice
A practical guide to Claude Code: core concepts, setup tips, and how to pair it with DeepSeek for AI-driven software testing workflows.
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·3 min
Java Developer's Guide to AI Application Development: Career Path, Skills, and Hands-On Strategy
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
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