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.

306 terms

Other

Spaced Repetition

Spaced repetition is a learning technique that involves reviewing information at increasing intervals to improve long-term memory retention.

Other

Spam Filters

Spam filters are software tools designed to detect and block unwanted or unsolicited emails to keep inboxes clean and secure.

Data & Analytics

Spark SQL

Spark SQL is a module in Apache Spark that allows users to execute SQL queries and work with structured data using a familiar query language interface.

Data & Analytics

Spark Streaming

Spark Streaming is a scalable and fault-tolerant stream processing framework that enables real-time data processing using Apache Spark.

Reinforcement Learning

Sparse Reward

Sparse reward is a type of feedback in reinforcement learning where signals are given infrequently, often only after a series of actions or upon task completion.

Data & Analytics

Spatial Analysis

Spatial Analysis is the process of examining geographic or spatial data to identify patterns, relationships, and trends in a given area.

Data & Analytics

Spatial Autocorrelation

Spatial autocorrelation is the measurement of how much nearby or neighboring locations in a geographic space resemble or differ from each other in terms of a specific attribute.

Other

Spatial Computing

Spatial computing is the technology that enables computers to understand, interpret, and interact with the physical world in three-dimensional space.

Data & Analytics

Spatial Join

Spatial Join is a geospatial operation that combines two datasets based on their spatial relationships or locations.

Other

Speaker Diarization

Speaker diarization is the process of partitioning an audio stream into segments based on who is speaking, identifying and labeling each speaker separately.

Other

Speaker Identification

Speaker Identification is the process of recognizing a person’s identity based on their voice characteristics.

AI Ethics

Specification Gaming

Specification gaming is when developers or users exploit loopholes or ambiguities in a set of rules or specifications to achieve desired outcomes, often bypassing the intended purpose.

Machine Learning

Specificity

Specificity is the degree to which something is clearly defined or identified, often used to enhance clarity and precision in communication.

Computer Vision

Speckle Noise

Speckle noise is a granular interference that degrades image quality, commonly seen in radar and medical imaging systems.

Machine Learning

Spectral Clustering

Spectral Clustering is a technique that uses eigenvalues of a matrix derived from the data to perform dimensionality reduction before clustering in fewer dimensions.

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.