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

Deep Learning & Neural Networks

AlphaZero

AlphaZero is an advanced artificial intelligence program developed by DeepMind that uses reinforcement learning to master complex games like chess, shogi, and Go without human input.

Natural Language Processing (NLP)

Altaic

Altaic is a proposed language family that includes several languages spoken in Central Asia, Eastern Europe, and parts of Northeast Asia.

Data & Analytics

Altair

Altair is a bright star in the constellation Aquila, known for its proximity to Earth and significance in astronomy and navigation.

Other

Alternative Credit Scoring

Alternative credit scoring is a method of evaluating creditworthiness using non-traditional data sources instead of standard credit reports.

Data & Analytics

Alternative Data

Alternative data is non-traditional data sourced outside of standard databases used to gain unique insights for business and investment decisions.

Data & Analytics

Analytics

Analytics is the systematic process of collecting, measuring, and interpreting data to gain actionable insights and improve decision-making.

Other

Anime Character Simulation

Anime Character Simulation is the digital recreation of anime-style characters using computer graphics and artificial intelligence to mimic their appearance, behavior, and interactions.

Natural Language Processing (NLP)

Annotation

Annotation is the process of adding notes, labels, or metadata to text, images, audio, or other data to enhance understanding, organization, and machine-readability.

Other

Annotation Workflow

Annotation Workflow is the systematic process of labeling and tagging data to prepare it for machine learning and data analysis tasks.

Data & Analytics

Anomaly Detection

Anomaly detection is the process of identifying data points, patterns, or behaviors that significantly deviate from

Data & Analytics

Anonymization

Anonymization is the process of removing or altering personal identifiers from data to prevent the identification of individuals.

Other

ANPR

ANPR is an Automatic Number Plate Recognition technology that reads vehicle license plates using optical character recognition.

MLOps & Infrastructure

Ansible

Ansible is an open-source automation tool used for configuration management, application deployment, and task automation.

AI Fundamentals

Ant Colony Optimization

Ant Colony Optimization is a probabilistic technique used in computing and operations research to find optimal paths through graphs, inspired by the behavior of ants searching for food.

Computer Vision

Anti-Aliasing

Anti-aliasing is a technique used in digital imaging and graphics to smooth jagged edges and create visually pleasing, crisp images.

Other

人工智能

Artificial Intelligence Short Definition: Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.

Data & Analytics

Apache Airflow

Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor complex workflows and data pipelines.

Other

Apache Arrow

Apache Arrow is an open-source, cross-language data format and in-memory columnar storage designed for efficient analytic processing.

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.