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

IQ Bot

IQ Bot is an intelligent automation tool designed to extract, interpret, and process unstructured data using artificial intelligence and machine learning.

Computer Vision

Iris Recognition

Iris Recognition is a biometric identification method that uses unique patterns in the colored part of an individual's eye to verify their identity.

Computer Vision

ISO Sensitivity

ISO sensitivity is a camera setting that determines the sensor’s sensitivity to light, affecting image brightness and noise levels.

AI Ethics

ISO/IEC 42001

ISO/IEC 42001 is an international standard that provides a framework for managing artificial intelligence (AI) systems responsibly and effectively.

Generative AI

Iterated Amplification

Iterated Amplification is a method of improving complex decision-making by breaking tasks into smaller parts and combining their solutions iteratively.

AI Agents & Systems

Jade

Jade is a durable and ornamental gemstone prized for its green hues, often used in jewelry and cultural artifacts.

Other

Jailbreak Prompt

A jailbreak prompt is a specific type of input phrase designed to bypass or manipulate AI system safeguards, enabling access to restricted or unintended responses.

Generative AI

Jailbreaking

Jailbreaking is the process of removing software restrictions imposed by a device’s manufacturer to gain full control over its operating system.

AI Agents & Systems

JASON

JSON Short Definition: JSON is a lightweight data-interchange format that is easy for humans to read and write, and easy for machines to parse and generate.

Deep Learning & Neural Networks

JAX

JAX is a numerical computing library from Google that enables high-performance machine learning through automatic differentiation and just-in-time compilation.

MLOps & Infrastructure

Jenkins

Jenkins is an open-source automation server that helps streamline software development processes by enabling continuous integration and continuous delivery (CI/CD).

Other

Job Automation

Job automation is the use of technology and machines to perform tasks traditionally done by humans in the workplace.

Generative AI

Job Displacement

Job displacement is the process where workers lose their jobs due to factors like automation, economic shifts, or company restructuring.

Other

Job Matching

Job matching is the process of aligning a candidate’s skills, experience, and preferences with the requirements of a specific job position to find the best fit.

AI Agents & Systems

Joint Intention

Joint Intention is a shared mental commitment between two or more individuals to work together towards a common goal.

Other

Judicial Analytics

Judicial Analytics is the use of data analysis and technology to assess and predict judicial behavior and court outcomes.

Generative AI

Jukebox

Jukebox is a digital or physical device that plays selected music tracks on demand, often used in public or social settings for entertainment.

AI Ethics

Justice

Justice is the principle of fairness and moral rightness in the treatment of individuals and the administration of laws.

Machine Learning

K-Fold Cross-Validation

K-Fold Cross-Validation is a statistical method used to evaluate the performance of a model by dividing the data into K subsets or "folds" and using each fold as a test set while the others…

Other

K-Means

K-Means is a popular clustering algorithm that groups data points into a specified number of clusters based on their similarity.

Machine Learning

K-Means Clustering

K-Means Clustering is an unsupervised machine learning algorithm used to partition data into groups based on similarity.

Machine Learning

K-Nearest Neighbors

K-Nearest Neighbors (KNN) is a simple, non-parametric classification algorithm used in machine learning to categorize data based on similarity to nearby data points.

Machine Learning

Kalman Filter

A Kalman Filter is an algorithm that uses a series of measurements observed over time to estimate unknown variables with accuracy.

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.

Read more Read less

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.