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.

986 terms

Computer Vision

Atrous Convolution

Atrous convolution is a type of convolutional operation that uses spaced-out filters to capture multi-scale information without reducing spatial resolution.

Other

Attendee Matchmaking

Attendee matchmaking is a process that connects event participants based on shared interests, goals, or professional backgrounds to foster meaningful networking opportunities.

Natural Language Processing (NLP)

Attention Mask

An attention mask is a tool used in machine learning models to limit the attention mechanism to certain parts of input data, enhancing processing efficiency and accuracy.

Data & Analytics

Attribute-Based Access Control

Attribute-Based Access Control (ABAC) is an access management method that grants or denies user permissions based on attributes like user role, resource type, and environmental conditions.

Machine Learning

AUC Score

AUC Score is a performance measurement for classification problems at various threshold settings, indicating the quality of a model's predictions.

AI Agents & Systems

Auction

An auction is a public sale event where goods or services are sold to the highest bidder through competitive bidding.

Other

Audio Analytics

Audio Analytics is the process of using technology to analyze and extract meaningful insights from sound data.

Other

Audio Annotation

Audio annotation is the process of labeling or tagging audio files to identify specific sounds, speech, or other auditory elements for analysis or machine learning.

Other

Audio Capture

Audio capture is the process of recording sound from various sources into a digital or analog format for storage, editing, or transmission.

Other

Audio Content Moderation

Audio content moderation is the process of reviewing and filtering audio materials to ensure they comply with legal, ethical, and platform-specific guidelines.

Other

Audio Embedding

Audio embedding is the integration of sound files directly into digital content, allowing users to listen without leaving the webpage.

Other

Audio Feature

Audio feature is a specific characteristic or attribute of an audio signal that helps describe its content and quality.

Other

Audio Features

Audio features are measurable attributes of sound recordings that describe characteristics like tempo, pitch, and timbre to help analyze and classify audio content.

Generative AI

Audio Generation

Audio Generation is the process of creating sound waves or audio content using digital technologies, often powered by artificial intelligence or software tools.

Other

Audio Integration

Audio Integration is the process of incorporating sound elements into digital platforms, applications, or devices to enhance user experience and functionality.

Other

Audio Stem Separation

Audio stem separation is the process of isolating individual sound elements, such as vocals, drums, or instruments, from a mixed audio track into separate audio files called stems.

Other

Audio Synthesis

Audio synthesis is the process of generating sound electronically by manipulating waveforms and acoustic parameters.

Generative AI

Audio-to-Text

Audio-to-Text is the process of converting spoken language in audio files into written text through transcription technology.

Generative AI

AudioLDM

AudioLDM is a cutting-edge text-to-audio generation model that converts written descriptions into high-quality soundscapes and audio clips.

AI Ethics

Auditing

Auditing is the systematic examination and evaluation of an organization's processes, systems, or financial records to ensure accuracy, compliance, and effectiveness.

Computer Vision

Augmented Reality

Augmented Reality is a technology that overlays digital information and media onto the real world through devices like smartphones and AR glasses.

Other

Augmented Writing

Augmented Writing is the use of AI-powered tools to enhance and improve the writing process by providing real-time suggestions, content optimization, and language refinement.

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.