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.

3,885 terms

Computer Vision

Global Shutter

Global shutter is a camera sensor technology that captures an entire image frame simultaneously, eliminating distortion in fast-moving scenes.

Other

Gmail Add-ons

Gmail Add-ons are extensions that enhance Gmail’s functionality by integrating third-party services directly into the email interface.

AI Agents & Systems

Goal-Directed Agent

A Goal-Directed Agent is an intelligent system designed to take actions aimed specifically at achieving predefined objectives or goals.

Data & Analytics

Google Dataflow

Google Dataflow is a fully managed service for stream and batch data processing that simplifies the execution of complex data pipelines.

AI Tools & Platforms

Google Gemini

Google Gemini is Google’s multimodal generative AI assistant and model family (built by Google DeepMind) that can understand and create content across text, images, code, and other data types.

Other

Google Veo 3

Google Veo 3 is a handheld AI-powered translation device designed to provide real-time, accurate language translation for seamless communication across different languages.

Deep Learning & Neural Networks

GoogLeNet

GoogLeNet is a deep convolutional neural network architecture known for its inception modules, which allow it to efficiently process complex image data.

AI Fundamentals

GPLM

(General-Purpose Language Model) Short Definition: A General-Purpose Language Model (GPLM) is an AI system trained on large volumes of text to understand, generate, and manipulate human language across many different tasks and domains.

AI Tools & Platforms

GPT

GPT (Generative Pre-trained Transformer) is a type of artificial intelligence model designed to understand and generate human-like text based on input data.

Other

GPT AI

GPT AI is an advanced language model designed to generate human-like text based on input prompts.

Other

GPT Language Model

GPT Language Model is an advanced artificial intelligence system designed to understand and generate human-like text based on patterns learned from large datasets.

Other

GPT Language Models

GPT Language Models are advanced AI algorithms designed to understand and generate human-like text based on large datasets.

Other

GPT Model

GPT Model is an advanced AI language model designed to generate human-like text based on deep learning and natural language processing techniques.

Other

GPT Models

GPT models are advanced AI language models designed to understand and generate human-like text based on input prompts.

Other

GPT Technology

GPT technology is an advanced artificial intelligence model designed to understand and generate human-like text based on deep learning techniques.

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.