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.

986 terms

Other

AI Translation Engines

AI translation engines are software systems that use artificial intelligence to automatically convert text or speech from one language to another.

Other

AI Travel Assistant

AI Travel Assistant is a digital tool powered by artificial intelligence that helps users plan, book, and manage their travel experiences efficiently.

Other

AI Travel Planner

AI Travel Planner is an intelligent software tool that uses artificial intelligence to help users organize and customize their travel itineraries efficiently.

Other

AI Triggers

AI Triggers are specific inputs or signals that initiate an artificial intelligence system’s response or action.

Other

AI Try-On

AI Try-On is a technology that uses artificial intelligence to digitally simulate how clothing, accessories, or makeup will look on a person before purchase.

Generative AI

AI Tutor

An AI tutor is an intelligent software system designed to provide personalized educational support by adapting lessons and feedback to individual learners’ needs.

Other

AI Tutoring

AI Tutoring is the use of artificial intelligence technologies to provide personalized educational support and guidance to learners.

Other

AI Underwriting

AI underwriting is the use of artificial intelligence technologies to automate and enhance the evaluation of risk and decision-making processes in insurance and finance.

Other

AI Upscaling

AI Upscaling is the process of using artificial intelligence algorithms to enhance and increase the resolution of images or videos while preserving or improving quality.

Business & Product in AI

AI Use Case

An AI use case is a clearly defined, practical application where artificial intelligence is used to solve a specific business problem or improve a specific process.

Other

AI Vectorization

AI Vectorization is the process of converting data, such as text or images, into numerical vector formats that artificial intelligence models can efficiently analyze and interpret.

Other

AI Verification

AI Verification is the process of ensuring that artificial intelligence systems function correctly, reliably, and as intended.

Other

AI Video

AI Video is digital video content created or enhanced using artificial intelligence technologies to automate, optimize, or innovate production processes.

Other

AI Video Ads

AI Video Ads are digital advertisements created or optimized using artificial intelligence to enhance targeting, creativity, and performance.

Other

AI Video Analysis

AI Video Analysis is the use of artificial intelligence technologies to automatically interpret, classify, and extract meaningful information from video content.

Other

AI Video Analytics

AI Video Analytics is the use of artificial intelligence to automatically analyze and interpret video content for actionable insights.

Other

AI Video Chatbot

AI Video Chatbot is an artificial intelligence-powered virtual assistant that interacts with users through video and voice in real time.

Other

AI video clipping

AI video clipping is the process of using artificial intelligence to automatically identify, extract, and edit key segments from video content.

Other

AI Video Creation

AI Video Creation is the process of using artificial intelligence technologies to automatically generate or assist in producing video content.

Other

AI Video Creator

AI Video Creator is a software tool that uses artificial intelligence to automate the process of producing videos from text, images, or other media inputs.

Other

AI Video Editing

AI Video Editing is the use of artificial intelligence technologies to automate, enhance, and simplify the process of editing video content.

Other

AI Video Enhancement

AI Video Enhancement is the process of using artificial intelligence technologies to improve the visual quality and clarity of video content.

Other

AI Video Generation

AI Video Generation is the process of using artificial intelligence technologies to automatically create or synthesize video content from text, images, or other data inputs.

Other

AI video generator

AI video generator is a software tool that uses artificial intelligence to create or edit videos automatically based on input data or user instructions.

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.