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.

41 terms

Deep Learning & Neural Networks

U-Net

U-Net is a type of convolutional neural network designed specifically for image segmentation tasks, particularly in the field of biomedical image analysis.

Reinforcement Learning

UCT

UCT is an acronym for Upper Confidence bound applied to Trees, a popular algorithm used in decision-making processes involving tree search strategies.

AI Agents & Systems

UDDI

UDDI is a platform-independent framework for describing, discovering, and integrating web services in a standardized way.

Generative AI

Udio

Udio is a digital platform designed to help creators monetize their podcasts and audio content through paid subscriptions and listener support.

Generative AI

UI Design

UI Design is the process of creating visually appealing and user-friendly interfaces for digital products.

Computer Vision

Ultrasound

Ultrasound is a sound wave technology used to create images of organs and structures inside the body.

Machine Learning

UMAP

UMAP is a dimensionality reduction technique used to visualize high-dimensional data in lower dimensions.

Other

Uncensored AI

Uncensored AI is artificial intelligence technology that operates without filters or restrictions on content generation or output.

Machine Learning

Undersampling

Undersampling is a technique used in data analysis to balance datasets by reducing the number of majority class examples.

Other

Underwriting Automation

Underwriting automation is the use of technology and algorithms to streamline the process of assessing and approving insurance applications or loans.

AI Ethics

UNESCO Recommendation on Ethics of AI

The UNESCO Recommendation on Ethics of AI is a global framework guiding the responsible development and use of artificial intelligence with respect to human rights and ethical principles.

Natural Language Processing (NLP)

Unicode Processing

Unicode processing refers to the methods and systems used to interpret, encode, manipulate, and display text from multiple languages and character sets using the universal Unicode standard.

Data & Analytics

Union

Union is a term describing the combination or joining of two or more entities into a single unified whole.

Generative AI

UniPC

UniPC is a versatile computing platform designed to deliver unified performance and compatibility across various hardware and software environments.

Generative AI

Unit Test Generation

Unit Test Generation is the automated process of creating tests that verify the functionality of individual software components or units.

MLOps & Infrastructure

Unit Testing

Unit Testing is a software testing method where individual components or functions of a program are tested in isolation to ensure they work correctly.

AI Agents & Systems

Unscented Kalman Filter

Unscented Kalman Filter is an advanced algorithm used for estimating the state of a nonlinear dynamic system by applying a deterministic sampling technique to better capture mean and covariance.

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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.