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

F1 Score

F1 Score is a metric used to evaluate the accuracy of a model by considering both precision and recall.

Other

Face Alignment

Face alignment is the process of adjusting and positioning facial features in an image to a standardized coordinate system for consistent analysis.

Other

Face Blending

Face blending is a digital technique that combines facial features from two or more images to create a single, seamless composite face.

Computer Vision

Face Detection

Face Detection is a computer technology used to identify and locate human faces in digital images.

Other

Face Embedding

Face embedding is a numerical representation of a person's facial features used for recognition and analysis by AI systems.

Other

Face Embeddings

Face embeddings are numerical vector representations of facial features used to identify and compare faces in machine learning and computer vision.

Other

Face Extraction

Face extraction is the process of identifying and isolating human faces from images or videos for further analysis or recognition.

Other

Face Generation

Face Generation is the process of creating realistic human face images using artificial intelligence and machine learning techniques.

Other

Face generator

A face generator is a software tool that creates realistic human faces using artificial intelligence and machine learning algorithms.

Other

Face ID

Face ID is a facial recognition technology that securely unlocks devices and authenticates users by scanning their unique facial features.

Computer Vision

Face Recognition

Face recognition is a technology that identifies or verifies individuals by analyzing and comparing facial features from an image or video.

Other

Face Reenactment

Face reenactment is a technology that digitally transfers the facial expressions and movements of one person onto another person's face in real time or through video processing.

Other

Face Replacement

Face replacement is a digital editing technique that swaps or alters a person's face in images or videos using software tools.

Other

Face Shape Analysis

Face Shape Analysis is the process of identifying and categorizing the geometric contours of a person's face to guide personalized styling, makeup, or digital applications.

Other

Face Swap

Face Swap is a digital technique that replaces one person's face with another's in images or videos, creating realistic or humorous visual effects.

Generative AI

Face Swapping

Face swapping is a digital technique that replaces one person's face with another's in images or videos using advanced software or artificial intelligence.

Other

Face Synthesis

Face synthesis is the process of artificially generating realistic human facial images using computer algorithms and machine learning techniques.

Other

Face Tracking

Face tracking is the technology that detects and follows human faces in real time within digital images or video streams.

Other

Face Verification

Face verification is a biometric process that confirms a person's identity by comparing their facial features against a stored reference image.

Data & Analytics

Faceted Search

Faceted Search is a search technique that allows users to filter and refine search results by applying multiple categories or attributes simultaneously.

Other

Facial Expression Mapping

Facial Expression Mapping is the process of digitally capturing and analyzing human facial movements to identify and interpret emotional states or reactions.

Other

Facial Expression Recognition

Facial Expression Recognition is a technology that identifies and interprets human facial movements to understand emotions or intentions.

Other

Facial Feature Extraction

Facial Feature Extraction is the process of identifying and isolating key facial landmarks from images or videos for analysis and recognition purposes.

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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.