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.

122 terms

Machine Learning

Gain Chart

A Gain Chart is a graphical representation used to measure the performance of classification models by displaying the cumulative gains against the percentage of data processed.

Generative AI

Game Design

Game Design is the process of creating the rules, content, and structure of a game to deliver engaging and meaningful player experiences.

AI Fundamentals

Game Theory

Game Theory is the study of strategic decision-making among individuals or entities in situations where their choices affect one another.

Computer Vision

Gamma Correction

Gamma correction is a technique used to adjust the brightness and contrast of images by altering the luminance levels to match human visual perception.

Other

GAN

GAN is a Generative Adversarial Network that uses two neural networks competing against each other to generate realistic synthetic data.

Computer Vision

Gaussian Blur

Gaussian Blur is a digital image processing technique that smooths an image by averaging pixel values using a Gaussian function.

Machine Learning

Gaussian Mixture Model

A Gaussian Mixture Model (GMM) is a probabilistic model that represents a mixture of multiple Gaussian distributions, used for clustering and density estimation.

Machine Learning

Gaussian Naive Bayes

Gaussian Naive Bayes is a classification algorithm that assumes feature independence and normal distribution of continuous data.

Computer Vision

Gaussian Noise

Gaussian noise is a type of statistical noise with a probability density function equal to that of the normal distribution, often appearing as random variations in data or signals.

Machine Learning

Gaussian Process

A Gaussian Process is a probabilistic model used to describe the behavior of functions in terms of a prior defined by Gaussian distributions.

Computer Vision

Gaze Estimation

Gaze estimation is a technology that determines where a person is looking by analyzing eye movements.

AI Agents & Systems

Gazebo

A gazebo is a freestanding, open-sided outdoor structure typically used for shade, shelter, and aesthetic enhancement in gardens or parks.

Data & Analytics

GDPR

GDPR is the General Data Protection Regulation, a legal framework that sets guidelines for the collection and processing of personal data of individuals within the European Union.

Deep Learning & Neural Networks

GELU

GELU is an activation function used in neural networks, known for its smooth and probabilistic approach to determining neuron activation.

Generative AI

GenAI

GenAI is artificial intelligence technology designed to generate human-like content, including text, images, and audio, through advanced machine learning models.

Reinforcement Learning

General Sum Game

General Sum Game is a strategic interaction where the total outcomes for all players can vary, meaning gains and losses are not strictly zero-sum.

Machine Learning

Generalization

Generalization is the cognitive process of formulating broad concepts by extracting common properties from specific instances.

Other

Generative Adversarial Network (GAN)

Generative Adversarial Network (GAN) is a machine learning framework where two neural networks compete to create realistic data, improving the quality of generated content.

Other

Generative Adversarial Networks

Generative Adversarial Networks (GANs) are a type of machine learning model where two neural networks compete to generate realistic synthetic data.

Generative AI

Generative AI

Generative AI is a type of artificial intelligence that creates new content, such as text, images, audio, or code, based on patterns learned from existing data.

Other

Generative Art

Generative Art is a creative process where artworks are produced autonomously by algorithms or systems based on predefined rules.

Page 1 of 6

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.

Read more Read less

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.