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.

66 terms

MLOps & Infrastructure

Online Serving

Online Serving is the process of delivering digital content or services to users in real-time through internet-based platforms.

Deep Learning & Neural Networks

ONNX

ONNX is an open format built to represent machine learning models and facilitate their interoperability between different AI frameworks.

MLOps & Infrastructure

ONNX Runtime

ONNX Runtime is a high-performance, cross-platform inference engine designed to run machine learning models in the Open Neural Network Exchange (ONNX) format efficiently.

AI Fundamentals

Ontology Engineering

Ontology Engineering is the practice of designing and managing structured frameworks that define the relationships between concepts and data within a specific domain.

Data & Analytics

Open Data

Open Data is data that is freely available for anyone to access, use, modify, and share without restrictions.

Other

Open Graph Protocol

Open Graph Protocol is a set of meta tags used to control how web pages are represented when shared on social media platforms.

Generative AI

Open Source AI

Open Source AI is artificial intelligence technology whose source code is publicly available for use, modification, and distribution.

Natural Language Processing (NLP)

Open-Domain QA

Open-Domain QA (Open-Domain Question Answering) is an AI-driven approach that answers questions using information drawn from a broad, unrestricted range of sources rather than a predefined, narrow dataset.

Other

Open-Source AI

Open-Source AI is artificial intelligence software whose source code is freely available for use, modification, and distribution by anyone.

AI Tools & Platforms

OpenAI

OpenAI is an artificial intelligence research and product company that develops advanced AI models and tools designed to help humans create, analyze, and automate work safely and effectively.

Other

OpenAI API

OpenAI API is a cloud-based interface that allows developers to integrate advanced AI models into applications for natural language processing and other intelligent functions.

Other

OpenAI Codex

OpenAI Codex is an advanced AI model that translates natural language into code, enabling developers to generate software through conversational commands.

Other

OpenGen Technology

OpenGen Technology is an innovative platform that leverages open-source tools and automation to generate dynamic, scalable content and solutions for digital marketing and business growth.

MLOps & Infrastructure

OpenVINO

OpenVINO is an open-source toolkit designed to optimize and deploy deep learning models for fast inference on Intel hardware.

Data & Analytics

Operational Analytics

Operational Analytics is the process of analyzing real-time data from business operations to improve efficiency and decision-making.

Other

Opponent Modeling

Opponent modeling is the process of creating representations of an adversary's strategies, goals, and behaviors to anticipate and counteract their actions effectively.

Deep Learning & Neural Networks

OPT

OPT, or Optional Practical Training, is a program that allows international students in the United States to work temporarily in their field of study.

Generative AI

Opt-out

Opt-out is a process where individuals actively choose to withdraw from receiving communications, services, or data collection.

Other

Optical Character Recognition (OCR)

Optical Character Recognition (OCR) is a technology that converts different types of documents, such as scanned paper documents or images of text, into editable and searchable digital text.

Computer Vision

Optical Flow

Optical Flow is the pattern of apparent motion of objects, surfaces, or edges in a visual scene caused by the relative motion between an observer and the scene.

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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.