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

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.

Reinforcement Learning

Minimax

Minimax is a decision-making algorithm used in game theory and artificial intelligence to minimize the possible loss for a worst-case scenario while maximizing potential gains.

Other

Minting

Minting is the process of creating new digital assets, typically cryptocurrencies or NFTs, by recording them on a blockchain.

AI Ethics

Misinformation

Misinformation is false or inaccurate information that is spread without intent to deceive.

AI Ethics

Misuse

Misuse is the incorrect or inappropriate use of a product, service, or information that leads to unintended or undesirable outcomes.

Other

Mixed Precision

Mixed precision is a computing technique that uses different numerical precisions in calculations to optimize performance and resource efficiency while maintaining acceptable accuracy.

Deep Learning & Neural Networks

Mixed Precision Training

Mixed Precision Training is a technique in machine learning that combines different numerical precisions to optimize computational efficiency and memory usage without significantly compromising model accuracy.

Computer Vision

Mixed Reality

Mixed Reality is a technology that blends the physical and digital worlds to create new environments and visualizations where physical and digital objects co-exist and interact in real time.

Computer Vision

MKV

MKV is a flexible, open-standard multimedia container format used for storing video, audio, subtitles, and metadata in a single file.

Other

ML Observability

ML Observability is the practice of monitoring, understanding, and troubleshooting machine learning models throughout their lifecycle to ensure consistent performance and reliability.

MLOps & Infrastructure

ML Pipeline

ML Pipeline is a structured sequence of processes that automate the steps of building, deploying, and maintaining machine learning models.

Deep Learning & Neural Networks

MLflow

MLflow is an open-source platform designed to manage the machine learning lifecycle, including experimentation, reproducibility, and deployment.

MLOps & Infrastructure

MLOps

MLOps is a set of practices that combines machine learning, DevOps, and data engineering to deploy, monitor, and maintain machine learning models reliably in production.

Deep Learning & Neural Networks

MLP-Mixer

MLP-Mixer is a type of neural network architecture that uses Multi-Layer Perceptrons (MLPs) for both spatial and channel-wise mixing of information.

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.