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

Other

Auto captioning

Auto captioning is the automated process of generating text captions for audio or video content using speech recognition technology.

MLOps & Infrastructure

Auto-Scaling

Auto-scaling is an automated process that adjusts computing resources dynamically based on demand to maintain optimal performance and cost efficiency.

Other

Automated Essay Scoring

Automated Essay Scoring is a technology that uses computer algorithms to evaluate and grade written essays objectively and efficiently.

Other

Automated Grading

Automated grading is the use of computer algorithms and software to evaluate and score assessments without human intervention.

Other

Automated Labeling

Automated labeling is the process of using software or algorithms to assign descriptive tags or categories to data without manual input.

Other

Automated Machine Learning

Automated Machine Learning is the process of using software to automate the tasks involved in building and deploying machine learning models.

Other

Automated Remediation

Automated Remediation is the process of using software tools to detect and fix security or operational issues without manual intervention.

Other

Automated scoring

Automated scoring is the use of computer algorithms to evaluate and assign scores to responses or performances without human intervention.

Other

Automated Training

Automated training is the use of software and technology to deliver, manage, and assess learning programs without continuous human intervention.

Other

Automated Trimming

Automated trimming is a process where software automatically cuts or edits digital content or data to improve quality, relevance, or format without manual intervention.

Other

Automated Valuation Model

Automated Valuation Model is a technology-driven method that uses algorithms and data to estimate the value of real estate properties quickly and efficiently.

Other

Automated Video Editing

Automated video editing is the use of software tools and algorithms to edit video content with minimal or no manual intervention.

Other

Automated Video Production

Automated video production is the process of creating videos using software and algorithms that minimize human intervention.

Other

Automatic captioning

Automatic captioning is the process of generating text captions for audio or video content using speech recognition technology.

Other

Automatic Captions

Automatic captions are machine-generated text overlays that transcribe spoken dialogue in videos in real time or after processing.

Generative AI

Automatic Grading

Automatic grading is a technology-driven process that evaluates and scores assessments or assignments using software without human intervention.

Generative AI

Automatic Refactoring

Automatic refactoring is the process where software code is transformed and improved by tools without changing its external behavior.

Other

Automatic Transcription

Automatic transcription is the process of converting spoken language in audio or video files into written text using computer algorithms.

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.