37 related articles

A complete guide to Dify, the open-source AI application platform: its core positioning, key differences from Coze, workflow-building capabilities, and enterprise private deployment advantages.

A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.

Traditional Java roles are shrinking while AI demand surges. Learn the three paths into AI for developers, and why RAG knowledge bases are the highest-ROI entry point for Java engineers.

A complete 5-stage AI large model learning roadmap — from Python basics and prompt engineering to RAG pipelines, Agent development, and private model deployment.

A deep dive into uncensored AI models: how censorship is removed, whether self-learning is real, and hardware requirements for local deployment. Covers Ollama, LM Studio, Llama, quantization, and more.
Samsung Health AI Training Controversy…
Samsung Health forces users to consent to AI training data use or face deletion of all health records. A deep dive into this coercive consent practice, its legal risks under GDPR, and what users can do.

With AI tools, beginners can build a home self-hosting server without years of experience. This guide covers hardware selection (HP EliteDesk, ZFS, IP-KVM), Docker deployment, and how AI compresses the technical learning curve.

Gemini quietly swapped its code syntax highlighting theme, sparking developer discussion. We break down One Dark, Dracula, and how Google's Material Design shapes its coding UI.

Airtel partnered with Perplexity to offer users a free one-year Pro subscription, but the renewal charging mechanism worries many. This article breaks down the billing logic of operator-bundled subscriptions and offers practical self-protection tips.

Should full-stack developers learn machine learning? This article analyzes the difference between applied ML and research ML, breaks down the ROI at each stage, and offers a concrete action path.

15-year full-stack engineering team offering custom development for mini programs, apps, enterprise systems, RAG knowledge bases, and AI agents — no middlemen, no subcontracting, full one-on-one ownership.

The McLaren W1, the legitimate successor to the F1 and P1, breaks 1,200 hp combined with just 1,399 kg dry weight. An in-depth test drive covering street cruising, the Mugello Circuit, aerodynamics, interior craftsmanship, and extreme performance.

Two new ETFs explicitly exclude Musk's companies like Tesla and SpaceX, setting a precedent for excluding a specific entrepreneur. A deep dive into values-based investing, portfolio challenges, and market personalization.

As LLM costs keep falling, how can Java developers seize the AI opportunity? This article explores LangChain4J's core capabilities, supported models and vector databases, and compares LangChain4J vs. Spring AI to help you build local knowledge bases and intelligent customer service systems.

The same Chinese AI wins praise on Hacker News yet gets criticized at home. This article dissects three mismatches — user identity, product form, and positioning — behind the divided reviews.

Gemini CLI is Google's open-source AI terminal tool that deeply integrates Gemini model capabilities into the command line—supporting code generation, file operations, Shell execution, and MCP protocol extensions, with 1,000 free daily requests.

Apollo's chief economist warns that current AI-related asset valuations may have severely detached from fundamentals, risking a painful systemic repricing.

A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.

How can ordinary programmers break into AI? This guide breaks down the gap between algorithm engineers and AI app developers, covering Agent development, model fine-tuning, salary trends, and the three hidden risks behind the current opportunity window.

"Claude Fable 5" doesn't exist. This guide exposes the AI scam's core red flags: fake version numbers, fabricated demos, "no-VPN China access" lies, and traffic funnel tactics.