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

Other

Machine Learning Transparency

Machine Learning Transparency is the practice of making the processes, decisions, and data behind machine learning models understandable and accessible.

Other

Machine Learning Workflow

Machine Learning Workflow is a structured sequence of steps involved in developing, training, and deploying machine learning models to solve real-world problems.

Other

Machine Teaching

Machine teaching is the process of designing and delivering training data to efficiently guide a machine learning model toward desired performance.

Computer Vision

Machine Vision

Machine Vision is a technology that enables computers to interpret and process visual information from the world.

Other

Machine-Generated Text

Machine-generated text is written content produced automatically by computer algorithms without direct human input.

Other

Machine-Learned Ranking

Machine-Learned Ranking is a method that uses artificial intelligence to automatically order search results or items based on learned patterns from data.

Reinforcement Learning

Macro-Action

Macro-Action is a large-scale, goal-oriented behavior or task that involves multiple smaller steps to achieve a significant outcome.

Generative AI

Magic3D

Magic3D is an advanced AI-driven technology that generates high-quality 3D models from simple text descriptions.

Generative AI

Make-A-Scene

Make-A-Scene is an AI-powered image generation tool that creates detailed scenes from text descriptions, combining creativity and technology for visual storytelling.

Generative AI

Make-A-Video

Make-A-Video is an AI-powered tool that generates videos from text descriptions, enabling quick and creative video content creation.

Other

Makeup Filters

Makeup filters are digital tools that overlay virtual cosmetics onto a user's face in photos or videos, enhancing or altering their appearance in real time.

Other

Makeup Simulation

Makeup simulation is a digital technology that allows users to virtually apply and visualize cosmetic products on their face in real time.

AI Ethics

Malicious Use

Malicious use is the intentional exploitation of software, systems, or data to cause harm, unauthorized access, or damage.

AI Ethics

Manipulation

Manipulation is the act of skillfully influencing or controlling people, situations, or information to achieve a desired outcome, often without full transparency.

Generative AI

Map Generation

Map generation is the process of creating visual or data-based maps through automated or manual methods to represent geographic or conceptual information.

Data & Analytics

MapReduce

MapReduce is a programming model designed for processing and generating large data sets with a distributed algorithm on a cluster.

Other

Markerless Mocap

Markerless Mocap is a motion capture technology that records human movements without the need for physical markers or suits.

Other

Markerless Motion Capture

Markerless motion capture is a technology that records human movement without the use of physical markers or sensors attached to the body.

Other

Markerless Technology

Markerless technology is a method of tracking and recognizing objects or environments without the need for physical markers or tags.

Other

Markerless Tracking

Markerless tracking is a technology that allows devices to detect and follow objects or environments without using physical markers or tags.

Generative AI

Market Impact

Market Impact is the effect that a trade or business decision has on the price or dynamics of a financial market or industry.

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.