AI Glossary: 3,885 terms, defined

Plain-language definitions of the vocabulary used across machine learning, model architectures, tooling and AI safety. Every entry opens with a one-sentence definition, then explains where the term is used.

114 terms

Other

Virtual Hairstyle Simulator

A Virtual Hairstyle Simulator is an interactive digital tool that allows users to try on different hairstyles and hair colors virtually before making real-life changes.

Other

Virtual Health Assistant

Virtual Health Assistant is an AI-powered digital tool designed to provide healthcare support, guidance, and information to patients remotely.

Other

Virtual Human

Virtual Human is a computer-generated, interactive digital character designed to simulate human behavior and communication.

Other

Virtual Human Avatars

Virtual Human Avatars are digital representations of people designed to interact, communicate, or simulate human behavior in virtual environments.

Other

Virtual Idol

Virtual Idol is a computer-generated character designed to perform music and entertain audiences, often powered by artificial intelligence and digital animation.

Other

Virtual Influencer

Virtual Influencer is a computer-generated character designed to engage audiences and promote brands on social media platforms.

Other

Virtual Makeup

Virtual makeup is a digital technology that allows users to apply and preview cosmetic products on their faces using augmented reality or photo editing tools.

Other

Virtual Pet

A virtual pet is a digital simulation of a pet that users can interact with on electronic devices to mimic real pet care and companionship.

Other

Virtual Presenter

A Virtual Presenter is a digital or AI-powered tool that simulates a human presenter to deliver presentations, trainings, or speeches online.

Computer Vision

Virtual Reality

Virtual Reality (VR) is an immersive digital technology that simulates a three-dimensional environment, allowing users to interact with a computer-generated world in a seemingly real way.

Other

Virtual Receptionist

A Virtual Receptionist is a remote professional or automated system that manages incoming calls and customer interactions for a business without being physically present on-site.

Other

Virtual Stylist

A Virtual Stylist is an online tool or service that provides personalized fashion advice and outfit recommendations using technology and user preferences.

Other

Virtual Try-On

Virtual Try-On is a digital technology that allows users to virtually test products like clothing, accessories, or makeup through augmented reality or 3D simulations before making a purchase.

Other

Virtual Tutor

A Virtual Tutor is an online or software-based educational tool that provides personalized learning assistance and instruction to students through interactive digital platforms.

Generative AI

Virtual World

A virtual world is a digitally created environment where users can interact with each other and the surroundings through avatars in real time.

Computer Vision

Vision-Language Model

A vision-language model is an AI system that understands and connects visual information and natural language to interpret, describe, or reason about images and text together.

Other

Visual Annotation

Visual annotation is the process of adding explanatory notes, labels, or markers to images or videos to enhance understanding and context.

Computer Vision

Visual Attention

Visual attention is the cognitive process of selectively concentrating on specific elements within the visual field while ignoring others.

Generative AI

Visual Novel

Visual novel is a genre of interactive storytelling software that combines text, images, and sound to deliver narrative-driven experiences.

Computer Vision

Visual Question Answering

Visual Question Answering is a technology that enables machines to answer questions about images by understanding both visual content and natural language queries.

Computer Vision

Visual Reasoning

Visual reasoning is the cognitive process of interpreting and analyzing visual information to solve problems and make decisions.

Other

Visual Recognition

Visual Recognition is the technology that enables computers to identify and interpret objects, scenes, and patterns in images or videos.

About the TiorAI AI Glossary

The TiorAI AI Glossary is a free reference of 3,885 artificial intelligence terms, each defined in plain English. Every entry opens with a one-sentence definition that stands on its own, then explains where the term is actually used and how it sits next to the ideas around it. There is nothing to sign up for and nothing to download: each definition has its own page and its own URL, so a term you needed once can be linked to and found again.

Three ways to find a term

They combine, and none of them cancels the others. The A to Z strip narrows the index to a single initial, with the # key collecting the entries that begin with a digit or a symbol and that no letter would reach. The category filter cuts the glossary to one of sixteen subject areas, among them Machine Learning, Deep Learning and Neural Networks, Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, AI Agents and Systems, MLOps and Infrastructure, Data and Analytics, and AI Ethics. The search field matches names and definitions, so a concept you can only half-name still surfaces. Every combination has its own URL, which means a narrowed view can be bookmarked or sent to a colleague.

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What the definitions cover

The vocabulary of modern AI, at the three depths people arrive needing. The fundamentals a first week runs into — model, parameter, training, inference, overfitting. The architecture behind current systems — transformers, attention, embeddings, diffusion, retrieval-augmented generation. And the operational and governance language that turns up in a procurement review or a policy document — fine-tuning, hallucination, alignment, model drift, bias. Terms are defined as they are used in practice rather than as they appear in a paper abstract.

Definitions that answer first

Each entry leads with the answer. The opening sentence says what the term means without assuming the rest of the page, which is what makes an entry useful to someone who arrived from a search with exactly one question. The explanation underneath is for the reader who wants more than that: what the idea is commonly confused with, what it looks like in practice, and which neighbouring terms are worth reading next. The card in the index above shows the opening of that definition, so you can tell from the results whether an entry is the one you want.

Where the glossary fits

A glossary answers what something means; it is not the place that tells you what to do about it. Where a concept has products behind it, the AI tools directory is where they are listed, and where it has a working instruction behind it, the prompt library is where that lives. Entries link out to those when the link earns its place, and the glossary stays what a glossary is — the definitions, ordered so they can be browsed, and written so a single one can be read on its own.

Using this glossary

How is the glossary ordered?

Alphabetically by term name, which is the order a reference work is browsed in and the order every page of this archive has always used. The sort menu can switch it to reverse alphabetical, or to recently added and recently updated if you want to see what has changed.

What does the letter strip do?

It narrows the index to terms whose name begins with that character, and it keeps whatever else you have set — a category filter, a search, a sort — so you can move between letters without starting again. The # entry collects the terms that begin with a digit or a symbol, which no letter would reach.

Why do some terms have no specific category?

Entries that span several areas, or that predate the current category set, sit under “Other”. It holds a large share of the glossary, so the filter is most useful for narrowing to a named topic rather than for excluding one.

What is in a glossary entry?

A short definition in plain language, then a longer explanation of where the term is used and how it relates to neighbouring concepts. The card above shows the opening of that definition; the entry itself also links to related terms and, where relevant, to the AI tools that implement the idea.

How do I search the glossary?

The field at the top matches term names and definitions, so a concept you can only half-name will usually surface. Search combines with the category filter and the letter strip, and every combination has its own URL, so a narrowed view can be bookmarked or shared.