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.

119 terms

AI Fundamentals

Big O Notation

Big O Notation is a mathematical representation used to describe the efficiency and performance of an algorithm in terms of time and space complexity.

Deep Learning & Neural Networks

BigGAN

BigGAN is a type of Generative Adversarial Network (GAN) known for generating high-quality images through advanced architecture and training techniques.

Data & Analytics

BigQuery

BigQuery is a fully-managed, serverless data warehouse platform by Google Cloud designed for fast SQL queries on large datasets.

Computer Vision

Bilateral Filter

Bilateral filter is a non-linear, edge-preserving smoothing technique used in image processing to reduce noise while maintaining sharp edges.

Computer Vision

Bilinear Interpolation

Bilinear interpolation is a mathematical method that estimates values within a two-dimensional grid by using linear interpolation first in one direction, then in the other.

Other

Bilingual Corpus

A bilingual corpus is a structured collection of texts in two different languages, aligned to facilitate language comparison, translation, and analysis.

Computer Vision

Binarization

Binarization is the process of converting data or images into two distinct values, typically representing binary states such as 0 and 1.

AI Fundamentals

Bio-inspired Computing

Bio-inspired computing is a field of study that designs computational systems based on principles and processes found in biological systems.

Other

Biometric Authentication

Biometric authentication is a security process that verifies an individual’s identity using unique physical or behavioral traits.

Other

Biometric Data

Biometric data is unique physical or behavioral characteristics used to identify individuals.

Computer Vision

Biometrics

Biometrics is the measurement and statistical analysis of people's unique physical and behavioral characteristics.

Data & Analytics

Bitmap Index

Bitmap index is a database indexing technique that uses bit arrays to efficiently query and filter large datasets, especially for columns with low cardinality.

AI Fundamentals

Black Box

A Black Box is a system or device whose internal workings are not accessible or understood by the user, focusing only on input and output.

Other

Blackbox Model

Blackbox Model is a system or process where the internal workings are hidden, and only inputs and outputs are observable.

Computer Vision

Blob Detection

Blob Detection is a computer vision technique used to identify and analyze regions in an image that differ in properties like brightness or color compared to surrounding areas.

Data & Analytics

Blob Storage

Blob Storage is a cloud-based service designed to store large amounts of unstructured data such as images, videos, documents, and backups.

Generative AI

Blockchain

Blockchain is a decentralized digital ledger technology that securely records transactions across multiple computers.

Other

Blockchain Integration

Blockchain Integration is the process of incorporating blockchain technology into existing systems or workflows to enhance security, transparency, and efficiency.

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.