AI Article Tags

Browse articles by professionally maintained tags. Every tag opens a focused collection with its own editorial introduction and closely related published articles.

AlphaFold We explain how AlphaFold predicts protein structures and where its limits are, tracking new versions, the open AlphaFold Database, and its real use in drug discovery. Space Data Centers We focus on the trend of moving compute to orbit: solar power, laser links and in-space inference — and how far orbital data centers really are from reality. TPU We explain Google's in-house AI chip: the TPU roadmap from Trillium to new generations, and its real role in training large models and serving them from Google Cloud. Sparse Attention Explains how sparse attention works, its main implementations, and the trade-offs: how models compute attention only over key tokens to cut compute and memory costs on long contexts, and when the approach pays off. Cross-Border Communication Tackling language barriers in travel, business trips and cross-border teamwork: how to combine translation earbuds, call interpreting and meeting notes, and how to pick the right tools for each scenario. Large Language Models Explains large language models as a technology category: what they are, which capabilities make them the foundation of AI applications, the key dimensions to check when choosing one, and where their limits lie. Self-Hosted AI Self-hosted AI treats deployment as the deciding dimension: running models, apps, or agent platforms on your own servers — weighing data control, cost, and ops burden to judge whether the effort is worthwhile. Subscription & Billing Practical guidance on subscriptions and billing for AI products: renewals, cancellations, downgrades, refunds and unexpected charges. Know the rules before you pay, and know where to turn when a bill looks wrong. Agent Orchestration Agent orchestration studies how multi-step agents are scheduled and coordinated: task decomposition, state handoff, branching logic, and human intervention points — helping readers see the engineering skeleton of complex agent systems. AI Plugins Covers the plugin model in AI apps: how ChatGPT plugins, GPT Actions, and Coze plugins extend capabilities, who controls permissions, and where the real boundaries with function calling and MCP lie. LangGraph LangGraph is the open-source agent orchestration framework from the LangChain team. It models multi-step tasks as traceable state graphs, helping readers decide when long-running, human-in-the-loop agent workflows justify the investment. Chat History How AI chat history is stored, viewed, exported and deleted: where conversations live, how long they are kept, and whether a deleted chat can ever come back – practical answers for real situations. AI Translation Earbuds A focused look at real-time translation earbuds: how face-to-face interpreting, call translation and offline modes work, which scenarios genuinely save time, and which claims are just marketing. ChatGPT Plus Everything about the ChatGPT Plus plan: pricing, model access, usage limits and member perks. Read it before you pay, and check it again when a feature does not behave as expected. Function Calling Explains how function calling works: how a model reads tool definitions written as JSON Schema, emits structured call requests, and how your code executes them and feeds results back into the conversation. AI Global Governance Follow how governments and international bodies negotiate AI risk, safety standards, and cooperation frameworks, and understand how global AI rules are taking shape. AI Practice Partner Give yourself a sparring partner: an AI that drills your spoken English, serves interview questions one by one, debates against you, and checks your workout form — with practice prompts that make it probe, correct, and score you, plus adjustable rounds and difficulty. Role Prompting Set the persona before giving the task: how to assign an AI a concrete identity — a senior editor, a hiring manager, a product lead — so it reasons and answers from that role's perspective and voice, with copy-ready role-prompting patterns you can reuse across tasks. Mock Interview A rehearsal room before the real interview: how to run mock interviews with an AI or a human partner — having them ask questions, probe your answers, and score your performance — plus copy-ready mock-interview prompts and practice routines that turn rehearsal into real readiness. Few-Shot Learning Few-shot learning, unpacked: how a large language model can generalize from just a handful of worked examples in the prompt — no retraining needed — where this ability comes from, when it shines, and when plain rules work better. Chain-of-Thought Explains Chain-of-Thought (CoT) prompting: why having a large language model write out its reasoning steps before answering raises accuracy, which tasks genuinely benefit, and the three misconceptions beginners run into most. Children's Education Breaking down children's education products and methods: how to choose hardware, how to choose content, and how parents should support learning – so money and effort go where they truly work. AI Tutoring Centered on AI Q&A, homework grading and learning diagnostics: what AI tutoring can genuinely take off parents' plates, what it cannot do, and what parents should prepare before relying on it. Learning Tablet Focused on AI learning tablets and similar education hardware: which real learning problems they can actually solve for children, and the key questions parents should settle before placing an order.