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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 15, 2026 · Artificial Intelligence

Deep Dive into AgentMemory: Adding a Shared, Persistent Memory Layer for Enterprise AI Coding

AgentMemory introduces a shared, persistent memory service for AI coding agents, capturing session observations, extracting memories, lessons, and knowledge graphs, and exposing them via hooks, MCP tools, and REST APIs to prevent repeated mistakes, improve decision reuse, and enhance engineering efficiency.

AI codingAgentMemoryLLM
0 likes · 13 min read
Deep Dive into AgentMemory: Adding a Shared, Persistent Memory Layer for Enterprise AI Coding
AI Large Model Application Practice
AI Large Model Application Practice
Jun 11, 2026 · Artificial Intelligence

Ontology Meets AI Agents: From Reasoning to Enterprise Semantic Infrastructure

The article demonstrates how an ontology can serve as a business‑semantic layer for enterprise AI agents, covering multi‑relationship propagation, schema‑to‑concept mapping, cross‑system customer views, and a unified semantic query engine, while also discussing practical limits and rollout advice.

AI AgentsEnterprise AIKnowledge Graph
0 likes · 11 min read
Ontology Meets AI Agents: From Reasoning to Enterprise Semantic Infrastructure
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 GraphOntology
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 codingROIcontext engineering
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.

APIDeepSeekLLM
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