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.

3,885 terms

Computer Vision

Dehazing

Dehazing is a technique used in digital imaging to remove haze, fog, or mist from images, enhancing clarity and detail.

Data & Analytics

Delaunay Triangulation

Delaunay Triangulation is a geometric algorithm that divides a set of points into triangles such that no point lies inside the circumcircle of any triangle.

Other

Delta Lake

Delta Lake is an open-source storage layer that brings reliability, performance, and ACID transactions to big data lakes.

Generative AI

Democratization of AI

Democratization of AI is the process of making artificial intelligence technologies accessible and usable by a broad range of people and organizations, beyond specialized experts.

AI Ethics

Demographic Parity

Demographic parity is a fairness criterion in machine learning where outcomes are independent of sensitive demographic attributes such as race or gender.

Computer Vision

Demosaicing

Demosaicing is the process of reconstructing a full-color image from the incomplete color samples captured by an image sensor using a color filter array.

Computer Vision

Denoising

Denoising is the process of removing noise from a signal or dataset to improve its quality and clarity.

Data & Analytics

Denormalization

Denormalization is a database optimization technique where redundant data is intentionally added to speed up read performance.

Reinforcement Learning

Dense Reward

Dense reward is a reinforcement learning feedback mechanism where an agent receives frequent, detailed rewards after most or every action.

Deep Learning & Neural Networks

DenseNet

DenseNet is a type of convolutional neural network architecture that features densely connected layers to enhance feature propagation and reduce the number of parameters.

Natural Language Processing (NLP)

Dependency Parsing

Dependency parsing is a natural language processing technique used to analyze the grammatical structure of a sentence by establishing relationships between "head" words and words that modify those heads.

Computer Vision

Depth Estimation

Depth estimation is the process of determining the distance between objects and the observer using computer vision techniques.

Other

Depth Mapping

Depth mapping is the process of creating a visual representation that displays the distance of objects from a viewpoint, often used to understand spatial relationships in images or 3D environments.

Computer Vision

Depthwise Separable Convolution

Depthwise separable convolution is a type of convolution operation in neural networks that splits standard convolution into two simpler steps to reduce computation and improve efficiency.

Other

Design Generation

Design Generation is the process of creating visual or functional concepts using creative methods and tools to develop new product or content designs.

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.