#Augment
271 related articles
Tutorials·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.
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Tech Frontiers·2 min
Apple Design Award 2026 Revealed: An In-Depth Look at All 12 Winning Apps
The 2026 Apple Design Awards were announced during WWDC, honoring 12 winning apps across gaming, utilities, and sports. We analyze design trends, judging criteria, and developer insights.
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Tutorials·4 min
Practical Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Step-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
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Tutorials·2 min
The Fatal Flaws of Using Doubao/DeepSeek to Write Paper Drafts — And the Right Approach
Analysis of critical risks when using Doubao, DeepSeek, or other AI tools to generate paper drafts, including fabricated references and high AI detection rates, with an efficient CNKI + DeepSeek writing workflow.
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Product Reviews·3 min
GPT-5.1 Deep Dive: 10 Core Features That Transform AI from Chat Tool to Work Partner
Deep dive into GPT-5.1's 10 core feature upgrades including dual-mode switching, project agents, coding assistance, tool orchestration, and 24-hour prompt caching to boost your productivity.
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Product Reviews·3 min
Cursor 1.0 Officially Released: A Complete Breakdown of Five Core Features
Cursor 1.0 officially released, jumping from 0.50 to 1.0. Detailed analysis of BugBot code review, Background Agent, preference memory, one-click MCP install, and Jupyter Notebook enhancement.
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Product Reviews·3 min
Cursor 1.0 Officially Released: Deep Dive into Six Core Features with Hands-On Testing
Deep dive into Cursor 1.0's six core features: Backboard PR review, Background Agent, Memories, One-Click MCP, Jupyter Support, and Rich Chat Response with hands-on testing results.
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Tutorials·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.
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Tutorials·3 min
AnythingLLM Installation & Configuration Guide: Building a Local Knowledge Base with API Integration
Complete guide to AnythingLLM local knowledge base setup: installation tips, Ollama model configuration, document vectorization, recall optimization, and API integration.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Tutorials·2 min
Making PPTs with HTML: AI One-Click Generation of Deployable Online Presentations
Learn how to use AI programming tools and Skill packages to quickly generate HTML presentations. Deploy online and share via links with cross-platform support.
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Tutorials·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.
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Tutorials·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.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Product Reviews·3 min
Deep Dive Review of AI Coding Assistants: Copilot at the Bottom — Who's the Real King?
Systematic evaluation of mainstream AI coding assistants across three models, comparing Claude Code, GitHub Copilot, Cursor, RooCode and more with comprehensive rankings.
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Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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Tutorials·4 min
Complete Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Complete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
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Tutorials·3 min
Getting Started with Spring AI Alibaba: The Go-To Framework for Java Developers Integrating LLMs
A deep dive into Spring AI Alibaba's core positioning and advantages, helping Java developers quickly understand how to integrate LLMs through this framework.
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