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.

114 terms

Computer Vision

Video Analysis

Video analysis is the process of examining video content to extract meaningful information, patterns, or insights using automated tools or manual techniques.

Other

Video Annotation

Video annotation is the process of adding metadata, labels, or notes to video content to enhance understanding, searchability, and analysis.

Other

Video captioning

Video captioning is the process of displaying synchronized text on a video to represent spoken dialogue and important sounds.

Other

Video Chatbot

A Video Chatbot is an AI-powered virtual assistant that communicates with users through live or prerecorded video messages to provide interactive support and engagement.

Other

Video Chatbots

Video chatbots are automated digital assistants that use video and conversational AI to interact with users through visual and spoken communication.

Computer Vision

Video Codec

Video codec is a technology that compresses and decompresses digital video files to enable efficient storage and playback.

Other

Video Conferencing Integration

Video Conferencing Integration is the seamless incorporation of video communication tools into existing software systems or platforms to enable real-time virtual meetings and collaboration.

Other

Video Cutout

Video Cutout is the process of isolating and extracting a specific subject or object from a video frame, separating it from the background for editing or compositing purposes.

Other

Video Editing Automation

Video editing automation is the use of software and algorithms to automatically edit video content, streamlining the creation process.

Other

Video Embedding

Video embedding is the process of integrating a video player directly into a webpage so users can watch the video without leaving the site.

Other

Video Generation

Video generation is the process of creating video content using software tools, often powered by artificial intelligence or automation techniques.

Other

Video Generator

A video generator is a software tool or platform that automatically creates videos from text, images, or other media inputs.

Other

Video Indexing

Video indexing is the process of analyzing and organizing video content to enable efficient search, retrieval, and categorization.

Other

Video Segmentation

Video segmentation is the process of dividing a video into meaningful segments or scenes to improve analysis, editing, or content understanding.

Other

Video Summarization

Video summarization is the process of creating a concise and coherent summary of a longer video by extracting its most important content.

Other

Video Synthesis

Video synthesis is the process of generating or creating new video content by combining, manipulating, or simulating visual elements using algorithms and machine learning techniques.

Other

Video Upscaling

Video upscaling is a process that increases the resolution of a video to enhance its visual quality on higher-definition displays.

Generative AI

Video-to-Text

Video-to-Text is the process of converting spoken content and visual information from videos into written text format.

Computer Vision

Viola-Jones Algorithm

The Viola-Jones Algorithm is a computer vision method primarily used for real-time object detection, especially face detection.

Other

Virtual Actors

Virtual actors are computer-generated characters designed to perform roles in digital media, simulating human behavior and appearance for entertainment, marketing, or interactive experiences.

Other

Virtual Agent

Virtual Agent is an AI-powered software designed to simulate human interaction and assist users through chat or voice interfaces.

AI Agents & Systems

Virtual Assistant

A Virtual Assistant is a remote professional who provides administrative, technical, or creative support to businesses or individuals.

Other

Virtual Characters

Virtual Characters are computer-generated digital personas designed to interact with users in various media environments.

Other

Virtual Companion

A Virtual Companion is an AI-powered digital assistant designed to interact with users, providing support, information, and companionship through natural language conversations.

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.