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AI Large Model Application Practice
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AI Large Model Application Practice

Focused on deep research and development of large-model applications. Authors of "RAG Application Development and Optimization Based on Large Models" and "MCP Principles Unveiled and Development Guide". Primarily B2B, with B2C as a supplement.

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Recent Articles

Latest from AI Large Model Application Practice

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AI Large Model Application Practice
AI Large Model Application Practice
Jun 4, 2026 · Artificial Intelligence

How Ontology Empowers Enterprise Agents Beyond Reasoning: Building a Semantic Infrastructure

The article explores three advanced ontology applications for enterprise AI agents—multi‑relationship propagation, schema‑mapping to decouple column names, and a unified semantic query engine—showing how a business‑semantic layer can replace hard‑coded logic while highlighting implementation challenges and practical start‑up advice.

Enterprise AIKnowledge GraphSemantic Layer
0 likes · 12 min read
How Ontology Empowers Enterprise Agents Beyond Reasoning: Building a Semantic Infrastructure
AI Large Model Application Practice
AI Large Model Application Practice
May 20, 2026 · Artificial Intelligence

Why AI Coding Falls Short of Its Promised Efficiency in Complex Enterprise Systems

Although AI coding agents like Claude Code and Codex promise dramatic productivity gains, the article explains that in large‑scale enterprise software the benefits are limited by unclear requirements, extensive context engineering, hidden token and rework costs, subtle bugs that pass superficial tests, and the need for strict risk‑tiered usage and human‑AI collaboration.

AI codingContext EngineeringHuman-AI Collaboration
0 likes · 18 min read
Why AI Coding Falls Short of Its Promised Efficiency in Complex Enterprise Systems
AI Large Model Application Practice
AI Large Model Application Practice
Apr 27, 2026 · Artificial Intelligence

How Graphify Becomes the “Second Brain” for AI Coding in Enterprise Legacy Systems

Graphify transforms scattered code, documentation, and business knowledge into a structured knowledge graph that serves as a “second brain” for AI coding assistants, enabling them to navigate and understand complex enterprise legacy systems, reduce token costs, and improve answer quality, as demonstrated by detailed tests on the BettaFish project.

AI codingKnowledge GraphLLM
0 likes · 16 min read
How Graphify Becomes the “Second Brain” for AI Coding in Enterprise Legacy Systems
AI Large Model Application Practice
AI Large Model Application Practice
Apr 24, 2026 · Artificial Intelligence

DeepSeek V4 Preview: Key Technical Highlights, Benchmarks, and Pricing

The DeepSeek‑V4 preview details two model variants—Pro and Flash—with trillion‑scale parameters, outlines benchmark scores that surpass or match leading overseas models across code generation, real‑world fixes, engineering tasks, and world knowledge, and explains core innovations, pricing, API endpoints, and open‑source licensing.

APIDeepSeekHybrid Attention
0 likes · 7 min read
DeepSeek V4 Preview: Key Technical Highlights, Benchmarks, and Pricing
AI Large Model Application Practice
AI Large Model Application Practice
Apr 13, 2026 · Artificial Intelligence

How Hermes-Agent Enables Self‑Learning Skills for Autonomous AI Agents

Hermes‑Agent introduces a novel self‑learning Skill system that lets AI agents automatically capture, refine, and patch reusable knowledge from complex tasks, using a dual front‑end awareness and back‑end inspection loop, reinforced by safety guards and a reinforcement‑learning training pipeline.

AI AgentsSkill Managementagent safety
0 likes · 18 min read
How Hermes-Agent Enables Self‑Learning Skills for Autonomous AI Agents
AI Large Model Application Practice
AI Large Model Application Practice
Apr 7, 2026 · Industry Insights

Which Open‑Source SDD Framework Wins in the AI‑Coding Era? A Deep 5‑Tool Comparison

Amid growing AI‑coding hype, this article examines why Specification‑Driven Development (SDD) remains essential and provides a detailed analysis of five popular open‑source SDD frameworks—SpecKit, BMAD, OpenSpec, Superpowers, and GSD—covering their core concepts, installation steps, typical workflows, strengths, weaknesses, and recommendations for teams of different sizes.

AI codingOpen Source FrameworksSDD
0 likes · 18 min read
Which Open‑Source SDD Framework Wins in the AI‑Coding Era? A Deep 5‑Tool Comparison
AI Large Model Application Practice
AI Large Model Application Practice
Apr 1, 2026 · Artificial Intelligence

What the Claude Code Leak Reveals About Anthropic’s AI Agent Architecture

An accidental front‑end misconfiguration exposed 512,000 lines of Claude Code’s TypeScript source, unveiling Anthropic’s modular AI agent architecture, hidden “Buddy” pet system, the KAIROS autonomous mode, undercover stealth features, anti‑distillation defenses, and risky YOLO permissions, offering a rare, detailed glimpse into cutting‑edge generative‑AI engineering.

AI AgentAnthropicKairos
0 likes · 13 min read
What the Claude Code Leak Reveals About Anthropic’s AI Agent Architecture
AI Large Model Application Practice
AI Large Model Application Practice
Mar 30, 2026 · Artificial Intelligence

Why Agent Harnesses Are the Key to Production‑Ready AI Agents

The article analyzes the emerging concept of Agent Harnesses, explaining how they transform unruly large‑model agents into controllable, production‑grade systems by addressing long‑running tasks, legacy code complexity, execution‑delivery gaps, and safety concerns through systematic engineering practices.

AI engineeringAgent Harnessautomation
0 likes · 18 min read
Why Agent Harnesses Are the Key to Production‑Ready AI Agents