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.

110 terms

Other

Emotional Support Chatbot

An Emotional Support Chatbot is an AI-powered virtual assistant designed to provide comfort, empathy, and mental health support through conversational interactions.

Other

Emotional Tracking

Emotional tracking is the process of monitoring and analyzing individuals' emotions to understand their feelings and reactions over time.

Other

Empathic AI

Empathic AI is artificial intelligence designed to recognize, understand, and respond to human emotions in a meaningful and context-aware manner.

AI Fundamentals

Emulation

Emulation is the process of mimicking the function of one system using another system, allowing software or hardware to replicate the behavior of a different system.

MLOps & Infrastructure

End-to-End ML

End-to-End ML is a machine learning approach that covers the entire pipeline from raw data input to final model deployment in a seamless, integrated workflow.

MLOps & Infrastructure

End-to-End Testing

End-to-End Testing is a comprehensive software testing method that validates the entire application flow from start to finish to ensure all components work together as expected.

Other

Energy Forecasting

Energy forecasting is the process of predicting future energy demand, supply, or prices using historical data and analytical models.

AI Agents & Systems

English Auction

English Auction is a dynamic bidding process where participants openly place increasingly higher bids until no higher bid is made, and the highest bidder wins the item.

Other

ENL Technology

ENL Technology is an innovative approach that integrates Enhanced Natural Language processing techniques to improve human-computer interactions and data analysis.

Machine Learning

Ensemble Learning

Ensemble Learning is a machine learning technique that combines multiple models to improve prediction accuracy and robustness.

Other

Enterprise AI

Enterprise AI is the integration of artificial intelligence technologies into large-scale business operations to enhance efficiency, decision-making, and innovation.

Other

Enterprise Automation

Enterprise Automation is the use of technology to streamline and automate complex business processes across an entire organization.

Other

Enterprise Search

Enterprise Search is a technology that enables organizations to search, retrieve, and manage information across multiple internal data sources efficiently.

Other

Entity Extraction

Entity Extraction is the process of identifying and categorizing key elements such as names, places, dates, and concepts from text data.

Other

Entity Recognition

Entity Recognition is the process of identifying and classifying key elements, such as names, places, or organizations, within text data.

Data & Analytics

Entity Resolution

Entity Resolution is the process of identifying and linking different data records that refer to the same real-world entity across various sources.

AI Fundamentals

Entropy

Entropy is a measure of disorder or randomness in a system, often used to quantify uncertainty or information content.

Generative AI

Environment Generation

Environment Generation is the process of creating digital or physical settings used in simulations, games, or virtual experiences to mimic real or imagined worlds.

Computer Vision

Epipolar Geometry

Epipolar Geometry is a fundamental concept in stereo vision that describes the geometric relationship between two camera views of the same scene.

Reinforcement Learning

Episode

An episode is a single installment or segment within a larger series, typically in television, podcasts, or web content.

Machine Learning

Epoch

An epoch is a specific period in time used as a reference point in computing and machine learning.

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.