#AI large language models
42 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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·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.
Read more →
·4 min
AI Large Language Model Learning Roadmap: A Complete Guide from Zero to Project Implementation
A systematic AI LLM learning roadmap covering prompt engineering, RAG, AI Agent development, and fine-tuning — with beginner-friendly paths and practical tips.
Read more →
·2 min
AI Arena Battle: DeepSeek vs Kimi — Bug-Type Devotion System Dominates Energy Control Flow (Full Match Recap)
DeepSeek defeats Kimi in an AI arena battle, with its bug-type Devotion system outplaying Kimi's energy control flow. Full match recap and AI strategy analysis.
Read more →
Tutorials·1 min
ESP-IDF Extension Integrates AI Agent: Complete Embedded Build, Flash, and Debug with Natural Language
ESP-IDF VS Code extension integrates Copilot Chat Agent mode, enabling natural language build, flash, and debug with AI-powered error analysis and fix suggestions.
Read more →
Tutorials·2 min
Ollama Getting Started Guide: The Best Tool for Locally Deploying Open-Source LLMs
A detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
Read more →
Tutorials·3 min
Optimizing ASR Startup Scripts with DeepSeek: Intelligent Detection Over Countdown Timers
Learn how to use DeepSeek to rewrite ASR local AI project startup scripts from countdown mode to intelligent output-based detection, with full steps and troubleshooting tips.
Read more →
Tech Frontiers·2 min
Claude Mythos Real-World Test Falls Flat: Only 1 Low-Risk Vulnerability Found in 170K Lines of Code
Curl founder tests Anthropic's strongest model Claude Mythos on 170K lines of code—finds only 1 low-risk CVE with 3 false positives. Results severely contradict official claims.
Read more →