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.

38 terms

Machine Learning

K-Fold Cross-Validation

K-Fold Cross-Validation is a statistical method used to evaluate the performance of a model by dividing the data into K subsets or "folds" and using each fold as a test set while the others…

Other

K-Means

K-Means is a popular clustering algorithm that groups data points into a specified number of clusters based on their similarity.

Machine Learning

K-Means Clustering

K-Means Clustering is an unsupervised machine learning algorithm used to partition data into groups based on similarity.

Machine Learning

K-Nearest Neighbors

K-Nearest Neighbors (KNN) is a simple, non-parametric classification algorithm used in machine learning to categorize data based on similarity to nearby data points.

Machine Learning

Kalman Filter

A Kalman Filter is an algorithm that uses a series of measurements observed over time to estimate unknown variables with accuracy.

Deep Learning & Neural Networks

Keras

Keras is an open-source neural network library written in Python that simplifies the creation and training of deep learning models.

Computer Vision

Kernel Correlation Filter

Kernel Correlation Filter is a machine learning technique used for tracking and recognizing patterns in complex data by applying kernel methods to correlation filters.

Generative AI

Kernel Inception Distance

Kernel Inception Distance is a metric used to evaluate the quality and diversity of generated images by comparing their features to real images using kernel methods and deep learning embeddings.

Computer Vision

Kernel Stride

Kernel stride is the step size by which a convolutional kernel moves across an input image or feature map during a convolution operation.

Machine Learning

Kernel Trick

Kernel Trick is a method used in machine learning to transform data into a higher-dimensional space to make it easier to classify.

Data & Analytics

Key-Value Store

A Key-Value Store is a type of NoSQL database that stores data as a collection of key-value pairs, enabling fast and flexible data retrieval.

Computer Vision

Keyframe

Keyframe is a specific frame in an animation timeline that defines the starting or ending point of a smooth transition or motion.

Other

Keypoint Annotation

Keypoint Annotation is the process of labeling specific points of interest on images or videos to identify important features for computer vision tasks.

Computer Vision

Keypoint Detection

Keypoint detection is a computer vision technique used to identify specific, distinctive points or features within an image or video frame.

Other

Keypoint Labeling

Keypoint labeling is the process of identifying and tagging specific points of interest on images or videos to facilitate analysis and machine learning applications.

Other

Keypoints

Keypoints are distinct, identifiable features or coordinates within data or images that serve as reference markers for analysis, recognition, or matching tasks.

Other

Keyword Extraction

Keyword extraction is the process of automatically identifying the most important and relevant words or phrases from a text document.

Other

Keyword Integration

Keyword Integration is the strategic placement of relevant keywords within website content to improve search engine visibility and user experience.

Data & Analytics

Kibana

Kibana is a data visualization and exploration tool used to analyze and display data stored in Elasticsearch.

AI Agents & Systems

Kinematics

Kinematics is the branch of physics that studies the motion of objects without considering the forces causing that motion.

Data & Analytics

KML

KML is a file format used to display geographic data in mapping applications like Google Earth.

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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.