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

E-commerce Chatbot

An e-commerce chatbot is an AI-powered virtual assistant designed to interact with online shoppers, providing support, recommendations, and facilitating transactions on e-commerce platforms.

Other

E-commerce Personalization

E-commerce personalization is the process of tailoring online shopping experiences to individual customers based on their behaviors, preferences, and data.

Other

E-commerce Trends

E-commerce trends are the evolving patterns and innovations shaping how online businesses operate, engage customers, and drive sales.

Other

自动评分

Automated Scoring Short Definition: Automated scoring is the process where computer systems evaluate and assign scores to assessments or content without human intervention.

Other

自然语言处理

Natural Language Processing Short Definition: Natural Language Processing is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language.

Machine Learning

Early Stopping

Early Stopping is a regularization technique used in machine learning to prevent overfitting by halting the training process when the model's performance on a validation dataset starts to degrade.

AI Fundamentals

Edge

Edge refers to computing that occurs at or near the source of data generation, rather than relying on a centralized data-processing warehouse.

MLOps & Infrastructure

Edge AI

Edge AI is the deployment of artificial intelligence algorithms directly on devices at the edge of a network, near the data source, rather than relying on centralized cloud servers.

AI Fundamentals

Edge Computing

Edge Computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, improving response times and saving bandwidth.

Computer Vision

Edge Detection

Edge detection is a technique used in image processing to identify and locate sharp discontinuities in an image.

Other

Educational Chatbot

Educational chatbot is an AI-powered conversational tool designed to assist learners by providing personalized teaching, answering questions, and facilitating interactive learning experiences.

Other

EEG

EEG is a technique that records electrical activity of the brain through sensors placed on the scalp.

Deep Learning & Neural Networks

EfficientNet

EfficientNet is a family of convolutional neural networks designed for efficient scaling of model size while maintaining high accuracy in image recognition tasks.

Other

eKYC

eKYC is an electronic process that verifies a person's identity using digital methods instead of traditional physical documents.

Machine Learning

Elastic Net

Elastic Net is a regularization technique in machine learning that combines the properties of both Lasso and Ridge regression methods to improve model accuracy and feature selection.

Data & Analytics

Elasticsearch

Elasticsearch is a powerful, distributed search and analytics engine designed for fast, scalable data retrieval and real-time search capabilities.

Other

Electroencephalography (EEG)

Electroencephalography (EEG) is a technique that records electrical activity of the brain using sensors placed on the scalp.

AI Agents & Systems

Electronic Institution

Electronic Institution is a structured digital environment designed to regulate multi-agent interactions by defining roles, norms, and protocols to enable coordinated and trustworthy electronic transactions.

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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.