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

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AI video highlights

AI video highlights are automatically generated short clips that capture the most important or engaging moments of a video using artificial intelligence technology.

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AI Video Indexing

AI Video Indexing is the process of using artificial intelligence to analyze, categorize, and tag video content for easier search and retrieval.

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AI Video Maker

AI Video Maker is a software tool that uses artificial intelligence to automatically create or edit videos from text, images, or raw footage.

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AI Video Marketing

AI Video Marketing is the use of artificial intelligence technologies to create, optimize, and distribute video content for promotional and engagement purposes.

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AI Video Personalization

AI Video Personalization is the use of artificial intelligence to tailor video content to individual viewers' preferences and behaviors.

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AI Video Processing

AI Video Processing is the use of artificial intelligence technologies to analyze, enhance, and manipulate video content automatically.

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AI Video Restoration

AI Video Restoration is the process of using artificial intelligence technologies to enhance, repair, and improve the quality of old or damaged video footage.

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AI Video Summarization

AI Video Summarization is the process of using artificial intelligence to automatically create a concise summary of the key content from a video.

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AI Video Synthesis

AI Video Synthesis is the process of using artificial intelligence to generate or manipulate video content automatically.

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AI Video Upscaling

AI Video Upscaling is the process of using artificial intelligence algorithms to enhance the resolution and quality of low-resolution videos to higher resolutions.

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AI Virtual Assistant

AI Virtual Assistant is software powered by artificial intelligence designed to perform tasks or services based on user commands or questions.

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AI Virtual Receptionist

An AI Virtual Receptionist is a software program that uses artificial intelligence to handle customer interactions, manage calls, and perform receptionist tasks automatically.

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AI Virtual Teaching Assistant

An AI Virtual Teaching Assistant is an intelligent software tool designed to support educators by automating administrative tasks and enhancing student learning experiences.

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AI Virtual Try-On

AI Virtual Try-On is a technology that uses artificial intelligence to allow users to digitally try on clothing, accessories, or makeup through augmented reality or image processing.

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AI Vision Processor

AI Vision Processor is a specialized computing chip designed to efficiently analyze and interpret visual data using artificial intelligence techniques.

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AI Visitor Counting

AI Visitor Counting is a technology that uses artificial intelligence to accurately track and analyze the number of visitors in a physical or digital space.

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AI Visualization

AI Visualization is the process of representing complex artificial intelligence data and models in graphical or visual formats to enhance understanding and decision-making.

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AI Vocal Synthesis

AI Vocal Synthesis is the technology that uses artificial intelligence to generate realistic human-like singing or speaking voices from text or musical input.

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AI Voice

AI Voice is a synthetic speech technology that uses artificial intelligence to generate natural-sounding human voice output.

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AI Voice Assistant

AI Voice Assistant is a software application that uses artificial intelligence to understand and respond to spoken commands or queries.

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AI Voice Calls

AI Voice Calls are automated phone interactions powered by artificial intelligence that simulate natural human conversations for customer service, sales, and information delivery.

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AI Voice Cloning

AI Voice Cloning is a technology that uses artificial intelligence to create a digital replica of a person's voice for generating natural-sounding speech.

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AI Voice Dubbing

AI voice dubbing is the process of using artificial intelligence to automatically replace the original audio in a video with synthetic or transformed voices in different languages or styles.

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AI Voice Effects

AI Voice Effects are digital modifications applied to audio recordings using artificial intelligence to change or enhance the sound of a voice.

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.