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

Inter-Frame Compression

Inter-frame compression is a video compression technique that reduces file size by encoding only the differences between consecutive video frames.

Other

Interactive AI

Interactive AI is artificial intelligence designed to engage in dynamic, real-time interactions with users or systems through natural, responsive communication.

Generative AI

Interactive Fiction

Interactive Fiction is a genre of digital storytelling where readers actively participate by making choices that influence the narrative’s direction and outcome.

Other

Interactive Slides

Interactive slides are presentation slides that incorporate elements allowing user engagement, such as clickable buttons, quizzes, or animations, enhancing audience participation and learning.

Generative AI

Interactive Storytelling

Interactive storytelling is a narrative technique where the audience actively participates in shaping the story’s direction and outcome.

Other

Interactive Voice Response

Interactive Voice Response (IVR) is a technology that allows callers to interact with a phone system through voice or keypad inputs to access information or complete tasks without human assistance.

Other

Interest Matching

Interest Matching is the process of aligning content, products, or advertisements with the specific interests and preferences of a target audience to enhance engagement and relevance.

AI Agents & Systems

Interface Agent

Interface Agent is a software program designed to assist users by interacting through a user-friendly interface, often automating tasks or providing guidance.

Other

Interior Design AI

Interior Design AI is artificial intelligence technology used to assist, enhance, and automate the process of creating and visualizing interior spaces.

Computer Vision

Interpolation

Interpolation is the method of estimating unknown values within the range of a discrete set of known data points.

AI Ethics

Interpretability

Interpretability is the ability to understand and explain how a model or system arrives at its decisions or outputs.

Other

Interpretable AI

Interpretable AI is artificial intelligence designed to provide clear, understandable explanations of its decisions and processes.

Other

Interruptible AI

Interruptible AI is an artificial intelligence system designed to be safely paused or stopped by human operators at any time without causing unintended consequences.

Data & Analytics

Intersection

Intersection is the common area or set where two or more elements, concepts, or groups overlap or meet.

Other

Interview Automation

Interview Automation is the use of technology and software tools to streamline and manage the interview process without manual intervention.

Other

Interview Simulator

Interview Simulator is a digital tool designed to mimic real job interviews, helping candidates practice and improve their interview skills through realistic scenarios and feedback.

Computer Vision

Intra-Frame Compression

Intra-frame compression is a video compression technique that reduces file size by compressing each frame independently without referencing other frames.

Reinforcement Learning

Intrinsic Motivation

Intrinsic motivation is the internal drive to engage in an activity for its own sake, deriving satisfaction from the experience rather than external rewards.

AI Agents & Systems

Inverse Dynamics

Inverse Dynamics is a computational method used to determine the forces and moments required to produce a given motion of a mechanical system.

AI Agents & Systems

Inverse Kinematics

Inverse Kinematics is a computational method used to determine joint parameters needed to place an end-effector of a robotic arm or character model at a desired position and orientation.

Natural Language Processing (NLP)

Inverted Index

An inverted index is a data structure used to map content, such as words or terms, to their locations in a database or a document collection, enabling efficient search and retrieval.

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.