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.

252 terms

Other

Mental Health Chatbot

A Mental Health Chatbot is an AI-powered virtual assistant designed to provide emotional support and mental wellness guidance through conversational interactions.

Other

Mental Health Technology

Mental Health Technology is the use of digital tools and platforms designed to support, monitor, and improve mental well-being.

AI Ethics

Mesa-Optimization

Mesa-Optimization is the phenomenon where an AI system develops its own internal objectives or goals distinct from those originally programmed by its creators.

Computer Vision

Mesh

Mesh is a network topology where devices are interconnected, allowing data to be routed between nodes efficiently.

AI Agents & Systems

Meta-Heuristic

Meta-heuristic is a high-level problem-solving framework designed to efficiently find near-optimal solutions for complex optimization problems.

Data & Analytics

Metadata Management

Metadata management is the organized process of handling, controlling, and maintaining metadata to ensure data accuracy, consistency, and accessibility across systems.

MLOps & Infrastructure

Metadata Store

Metadata Store is a centralized repository designed to collect, manage, and organize metadata for easy access and efficient data governance.

Natural Language Processing (NLP)

Metaphor

A metaphor is a figure of speech that describes an object or action in a way that isn’t literally true but helps explain an idea or make a comparison.

Generative AI

Metaverse

Metaverse is a collective virtual shared space created by the convergence of virtually enhanced physical reality and persistent virtual environments.

Data & Analytics

Metric

Metric is a quantifiable measure used to track and assess the performance of specific activities or processes.

MLOps & Infrastructure

Metrics

Metrics are quantifiable measures used to assess, compare, and track the performance of various business, marketing, or digital activities.

Other

MicroMasters

MicroMasters is a series of graduate-level online courses designed to provide specialized knowledge and skills in a focused subject area.

AI Agents & Systems

Microservices

Microservices is an architectural style that structures an application as a collection of small, independent services that communicate over well-defined APIs.

Other

Microsoft Speech API

Microsoft Speech API is a set of programming interfaces that enable developers to integrate speech recognition and synthesis capabilities into applications.

AI Tools & Platforms

Midjourney

Midjourney is an AI-powered image generation tool that creates visual artwork from text prompts using advanced machine learning models.

Other

Midjourney AI

Midjourney AI is an advanced artificial intelligence tool designed to generate high-quality, creative images from textual descriptions.

Other

Midjourney Bot

Midjourney Bot is an AI-powered tool designed to generate creative images based on textual prompts, widely used in digital art and content creation.

Other

Milk Yield Prediction

Milk Yield Prediction is the process of estimating the amount of milk a dairy animal will produce over a specific period using data analysis and modeling 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.