#大模型

36 related articles

2026年6月3日·2 min

Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?

RAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.

Ollama Getting Started Guide: The Best Tool for Locally Deploying Open-Source LLMs

Tutorials

2026年6月3日·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.

Ollama Local LLM Deployment: From Installation to Conversation in Three Steps

Tutorials

2026年6月3日·2 min

Ollama Local LLM Deployment: From Installation to Conversation in Three Steps

Learn how to deploy LLMs locally with Ollama in three simple steps: install, choose a model, and run. No coding required, supports offline use, and completely free.

MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice

Tutorials

2026年6月3日·3 min

MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice

Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.

MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling

Deep Dives

2026年6月3日·3 min

MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling

Deep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.

The Survival Crisis and Transformation Path for Traditional Programmers in the AI Coding Wave

Industry Insights

2026年6月3日·3 min

The Survival Crisis and Transformation Path for Traditional Programmers in the AI Coding Wave

Since 2025, AI-driven tech layoffs intensify with 75% of coding work coverable by AI. This article analyzes programmers' structural elimination crisis and the transformation path from code workers to AI architects.

AI Agent + Vue 3 Full-Stack Development in Practice: Integrating the Coze Platform with Frontend Engineering

Tutorials

2026年6月3日·2 min

AI Agent + Vue 3 Full-Stack Development in Practice: Integrating the Coze Platform with Frontend Engineering

A deep dive into integrating AI agents with Vue 3 frontend development, covering Coze platform agent building, Vue3+TypeScript+Pinia stack practices, and AI content generation features.

GPT 5.5 Instant Deep Dive: How It Tackles AI Hallucinations for Trustworthy Real-World Deployment

Tech Frontiers

2026年6月3日·3 min

GPT 5.5 Instant Deep Dive: How It Tackles AI Hallucinations for Trustworthy Real-World Deployment

Deep dive into GPT 5.5 Instant's core breakthrough: dramatically reducing AI hallucination rates while achieving low latency and high accuracy. Explore real-world applications in legal, medical, and financial sectors.

Career Switching to AI with Zero Background: Is a Three-Month Fast Track Really Feasible?

Industry Insights

2026年6月2日·3 min

Career Switching to AI with Zero Background: Is a Three-Month Fast Track Really Feasible?

In-depth analysis of switching to AI with zero background: insights from 300+ job descriptions, tailored advice for different backgrounds, and realistic expectations for the three-month timeline.

Core Methodology of Prompt Engineering: Principles, Techniques, and Complete Practical Guide

Tutorials

2026年6月2日·4 min

Core Methodology of Prompt Engineering: Principles, Techniques, and Complete Practical Guide

Deep analysis of Prompt Engineering core methodology: from LLM principles to the three key principles of specific, rich, and unambiguous prompts, plus programming advantages in the AI era.

Project Glasswing Expansion: 150 Organizations Gain Access to Claude Mythos

Tech Frontiers

2026年6月2日·1 min

Project Glasswing Expansion: 150 Organizations Gain Access to Claude Mythos

Anthropic expands Project Glasswing, extending Claude Mythos Preview access to ~150 organizations across 15+ countries, showcasing its gradual AI deployment strategy.

Tech Frontiers

2026年6月2日·1 min

Project Glasswing Expansion: 150 Organizations Gain Access to Claude Mythos

Anthropic expands Project Glasswing, extending Claude Mythos Preview access to ~150 organizations across 15+ countries, showcasing its gradual AI deployment strategy.

Java Developers Transitioning to AI Engineers: New Interview Trends and Learning Roadmap

Tutorials

2026年6月2日·3 min

Java Developers Transitioning to AI Engineers: New Interview Trends and Learning Roadmap

Deep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.

AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation

Tutorials

2026年6月2日·1 min

AI Agent Learning Roadmap: A Complete Guide from LLM Fundamentals to Enterprise-Level Project Implementation

A systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.

AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer

Tutorials

2026年6月2日·1 min

AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer

A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.

Core Principles of the Transformer Architecture: A Deep Dive into Self-Attention Mechanisms and Engineering Optimizations

Deep Dives

2026年6月2日·4 min

Core Principles of the Transformer Architecture: A Deep Dive into Self-Attention Mechanisms and Engineering Optimizations

Deep dive into Transformer architecture covering self-attention QKV mechanics, Encoder-Decoder structure, Flash Attention memory optimization, RoPE positional encoding, and GQA inference acceleration.

Hertzman: A Free, No-Install Local LLM Deployment Tool Review

Product Reviews

2026年6月2日·3 min

Hertzman: A Free, No-Install Local LLM Deployment Tool Review

Detailed review of Hertzman local inference engine covering one-click deployment, smart hardware recommendations, OpenAI-compatible API, and performance comparison with LM Studio.

Two Major Career Paths in AI Large Language Models: Engineering Implementation vs. Algorithm Research

Industry Insights

2026年6月1日·2 min

Two Major Career Paths in AI Large Language Models: Engineering Implementation vs. Algorithm Research

In-depth analysis of two core AI LLM career paths: engineering implementation vs. algorithm research. Compare education requirements, skills, and job prospects for programmers transitioning to AI.

Can You Really Transition to AI/LLM in Three Months? A Deep Dive into the Learning Roadmap

Tutorials

2026年6月1日·3 min

Can You Really Transition to AI/LLM in Three Months? A Deep Dive into the Learning Roadmap

Deep dive into a popular 3-month AI/LLM transition roadmap: from Python basics and Prompt engineering to LangChain, RAG, Agents, and hands-on projects, with realistic time estimates and pitfall warnings.

Anthropic Source Code Leak: Unreleased Model Codenames and Hidden Features Deep Dive

Tech Frontiers

2026年6月1日·4 min

Anthropic Source Code Leak: Unreleased Model Codenames and Hidden Features Deep Dive

Anthropic's Claude Code source code leaked via Source Map files, exposing the million-token Capybara model, Opus 4.7/Sonnet 4.8, undercover mode, and hidden features like Buddy, Kairos, and Dream.