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

Data & Analytics

Apache Beam

Apache Beam is an open-source unified programming model for defining and executing data processing pipelines across various distributed processing backends.

Data & Analytics

Apache Flink

Apache Flink is an open-source stream processing framework designed for high-throughput, low-latency data streaming and batch processing.

Data & Analytics

Apache Hadoop

Apache Hadoop is an open-source framework designed for distributed storage and processing of large data sets across clusters of computers.

Data & Analytics

Apache Kafka

Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming applications.

Data & Analytics

Apache Spark

Apache Spark is an open-source distributed computing system designed for fast and scalable big data processing.

Data & Analytics

Apache Storm

Apache Storm is an open-source distributed real-time computation system designed for processing large streams of data quickly and reliably.

Computer Vision

Aperture

Aperture is the adjustable opening in a camera lens that controls the amount of light entering the camera sensor or film.

Generative AI

API Economy

API Economy is the business environment created by the widespread use of application programming interfaces (APIs) to enable digital services, partnerships, and monetization.

Machine Learning

Apriori Algorithm

The Apriori Algorithm is an influential data mining technique used to identify frequent itemsets and derive association rules in large datasets.

Other

Arabic Language Processing

Arabic Language Processing is the computational handling and analysis of Arabic text and speech to enable machines to understand, interpret, and generate the Arabic language effectively.

Deep Learning & Neural Networks

ArcFace

ArcFace is a deep learning model designed for face recognition that enhances accuracy by incorporating angular margin into the softmax loss.

MLOps & Infrastructure

Argo

Argo is an open-source container-native workflow engine designed to run and manage complex jobs on Kubernetes.

AI Agents & Systems

Argumentation

Argumentation is the process of presenting reasons and evidence to support or oppose a claim in a clear and logical manner.

Machine Learning

ARIMA

ARIMA is a statistical analysis model that stands for AutoRegressive Integrated Moving Average, used for time series forecasting.

Other

ARKit

ARKit is Apple's augmented reality development framework that enables developers to create immersive AR experiences for iOS devices.

MLOps & Infrastructure

Artifact Store

Artifact Store is a centralized repository where digital assets, such as build files and deployment packages, are securely stored and managed for software development and delivery.

AI Fundamentals

Artificial General Intelligence

Artificial General Intelligence (AGI) is an advanced form of artificial intelligence that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks at a level comparable to human intelligence.

AI Fundamentals

Artificial Intelligence

Artificial Intelligence (AI) is the field of computer science focused on building systems that can perform tasks requiring human-like intelligence.

Other

Artificial Intelligence (AI)

Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

Other

Artificial Intelligence in Education

Artificial Intelligence in Education is the use of AI technologies to enhance learning experiences, personalize instruction, and improve educational outcomes.

Other

Artificial Intelligence Safety

Artificial Intelligence Safety is the practice of designing and managing AI systems to prevent harmful outcomes and ensure reliable, ethical operations.

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.