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

Reinforcement Learning

Epsilon-Greedy

Epsilon-Greedy is a strategy used in decision-making algorithms to balance exploration and exploitation by choosing random actions with a small probability epsilon and the best-known action otherwise.

AI Ethics

Equal Opportunity

Equal Opportunity is the principle that all individuals should have the same chances to access employment, education, and other resources without discrimination.

AI Ethics

Equalized Odds

Equalized Odds is a fairness criterion in machine learning ensuring that a model's true positive and false positive rates are equal across different demographic groups.

Other

Esports Analytics

Esports analytics is the process of collecting and analyzing data from competitive video gaming to improve player performance, team strategy, and fan engagement.

Other

Essay Generation

Essay Generation is the automated process of creating coherent and structured written content on a specific topic using artificial intelligence or software tools.

Other

Essay Generator

An essay generator is a software tool that automatically creates written essays based on user inputs or predefined templates.

AI Ethics

Ethical AI

Ethical AI is the practice of designing and deploying artificial intelligence systems that prioritize fairness, transparency, accountability, and respect for human values.

AI Ethics

EU AI Act

The EU AI Act is a regulatory framework proposed by the European Union to ensure the safe, transparent, and ethical development and use of artificial intelligence technologies.

Other

Euclidean Distance

Euclidean distance is the straight-line distance between two points in a multidimensional space.

Generative AI

Euler a

Euler Short Definition: Euler is a term primarily associated with Leonhard Euler, an 18th-century mathematician known for foundational contributions in mathematics and its applications.

Generative AI

Euler Method

Euler Method is a straightforward numerical technique used to approximate solutions of ordinary differential equations by iteratively advancing a solution using tangent line estimates.

Other

Evaluation Metrics

Evaluation metrics are standardized measures used to assess the performance and effectiveness of models, algorithms, or processes.

Data & Analytics

Eventual Consistency

Eventual consistency is a data consistency model where updates to a distributed system will propagate and become consistent over time, rather than immediately.

AI Fundamentals

Evolution Strategy

Evolution Strategy is an optimization technique inspired by the principles of natural evolution, used to solve complex problems by iteratively improving candidate solutions.

AI Fundamentals

Evolutionary Computation

Evolutionary Computation is a branch of artificial intelligence that uses mechanisms inspired by biological evolution to solve complex problems.

Reinforcement Learning

Evolutionary Game Theory

Evolutionary Game Theory is a framework that applies game theory principles to evolving populations in biology and social sciences, analyzing how strategies evolve over time through natural selection or imitation.

Generative AI

Exam Question Generation

Exam Question Generation is the automated process of creating assessment questions designed to effectively evaluate knowledge and skills.

Computer Vision

EXIF Data

EXIF Data is metadata embedded in digital images that stores information about the camera settings, date, location, and other details of the photo.

AI Ethics

Existential Risk

Existential risk is the potential threat that could cause human extinction or permanently and drastically curtail humanity’s future development.

Reinforcement Learning

Expansion

Expansion is the process of growing or increasing the size, scope, or reach of a business, market, or concept.

Reinforcement Learning

Expected SARSA

Expected SARSA is a reinforcement learning algorithm that updates action-value estimates by considering the expected value of all possible next actions under the current policy.

MLOps & Infrastructure

Experiment Tracking

Experiment tracking is the systematic process of recording, monitoring, and managing the details and outcomes of experiments to ensure reproducibility and informed decision-making.

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.