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.

306 terms

Other

Subtitle Generation

Subtitle Generation is the automated process of creating text captions that display spoken dialogue or audio content in videos to improve accessibility and comprehension.

Other

Subtitle Generator

A Subtitle Generator is a software tool that automatically creates text captions or subtitles for video content to enhance accessibility and viewer engagement.

Generative AI

Suno

Suno is an AI-powered voice platform designed to create, customize, and deploy natural-sounding audio content for various digital applications.

Computer Vision

Super-Resolution

Super-resolution is a technique used to enhance the resolution of an image or video beyond its original capabilities.

Computer Vision

Superpixel

Superpixel is a group of pixels in an image that share similar characteristics and are treated as a single unit for easier image processing.

Machine Learning

Supervised Learning

Supervised learning is a machine learning approach where models are trained using labeled data to learn the relationship between inputs and correct outputs.

Other

Supply Chain Analytics

Supply Chain Analytics is the practice of collecting, analyzing, and interpreting data from supply chain operations to improve efficiency and decision-making.

Other

Supply Chain Automation

Supply Chain Automation is the use of technology and software to automate and optimize supply chain processes from procurement to delivery.

Other

Supply Chain Digitization

Supply Chain Digitization is the process of transforming traditional supply chain operations by integrating digital technologies to improve efficiency, visibility, and decision-making.

Other

Support Ticket Automation

Support Ticket Automation is the use of software tools to automatically manage, assign, and resolve customer service requests without manual intervention.

Machine Learning

Support Vector Machine

A Support Vector Machine (SVM) is a supervised machine learning model used for classification and regression tasks by finding the optimal hyperplane that separates data into distinct classes.

Computer Vision

SURF

SURF is an acronym for Speeded-Up Robust Features, a computer vision algorithm used for object recognition and image matching.

AI Ethics

Surveillance

Surveillance is the systematic observation and monitoring of people, activities, or information to gather data and ensure security or compliance.

AI Agents & Systems

Swarm Robotics

Swarm robotics is a field of robotics that studies how large groups of simple, autonomous robots coordinate and collaborate to complete complex tasks.

Deep Learning & Neural Networks

Swin Transformer

Swin Transformer is a type of neural network architecture designed for computer vision tasks, utilizing a hierarchical structure of shifted windows to efficiently process images.

Other

Swipe Typing

Swipe typing is a text input method where users slide their finger across a touchscreen keyboard to form words, rather than tapping individual keys.

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.