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Model Context Protocol (MCP) - New Standard for AI Agent Integration
Anthropic's MCP is rapidly spreading in 2025 as the 'USB-C of AI.' It standardizes connections between LLMs and external tools, eliminating the need for individual API implementations. This article provides a comprehensive explanation from implementation methods to practical examples.

Edge AI Practical Guide - Device Deployment of Small Language Models
Achieve local AI execution on smartphones, IoT, and embedded systems with 1B-8B parameter SLMs like Phi-3, Gemma, and Qwen2. Comprehensive explanation of quantization techniques, privacy protection, and 13ms latency implementation methods.

Compound AI Systems - Design Patterns for Complex AI Systems
A new paradigm from Berkeley BAIR. Achieve high accuracy and flexibility through modular design integrating Retriever+LLM+Agent+Tools instead of single LLM. Comprehensive explanation of the mainstream design method for enterprise AI adoption in 2025.

AI Agent Framework Deep Comparison - LangGraph vs CrewAI vs AutoGen
A comprehensive comparison of the three essential frameworks for building multi-agent systems in 2025. Explore the differences in state machine, role-based, and conversational design philosophies, and a guide to optimal selection by use case.

GraphRAG - Next-Generation RAG with Knowledge Graphs
Beyond traditional vector search. GraphRAG combines knowledge graphs with LLMs for deeper understanding of entity relationships. Explains implementation methods, use cases, and comparison with standard RAG.

AI Video Generation 2025 - The Cutting Edge of Sora 2, Runway, Veo
Generate high-quality videos from text in minutes. Thorough comparison of the latest AI video generation tools including Sora 2, Runway Gen-4, Veo 3. Explains how to use them in marketing, education, and creative industries.