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.

89 terms

Computer Vision

H.264

H.264 is a video compression standard that efficiently encodes digital video for streaming, storage, and broadcasting.

Computer Vision

H.265

H.265 is a video compression standard that efficiently encodes high-quality video at lower bitrates than its predecessor, H.264.

Computer Vision

Haar Cascade

Haar Cascade is a machine learning-based object detection method used primarily for facial recognition in images and video streams.

Other

Hair Segmentation

Hair segmentation is the process of isolating and identifying hair pixels within an image, enabling precise analysis or manipulation of hair in digital content.

AI Fundamentals

Hallucination of AI

Hallucination of AI refers to a situation where an artificial intelligence system generates information that appears confident and plausible but is factually incorrect, misleading, or entirely fabricated.

Other

Hand Gesture Recognition

Hand Gesture Recognition is a technology that interprets human hand movements and gestures to enable natural interaction with devices.

Other

Handwriting Detection

Handwriting detection is the process of identifying and interpreting handwritten text using specialized software or algorithms.

Other

Handwriting Recognition

Handwriting recognition is the technology that converts handwritten text into digital text using software algorithms.

Other

Handwriting Simulation

Handwriting simulation is the digital process of replicating human handwriting styles using software algorithms and artificial intelligence.

AI Agents & Systems

Haptics

Haptics is the science and technology of transmitting and understanding information through touch and tactile feedback.

Deep Learning & Neural Networks

Hard Swish

Hard Swish is a variant of the Swish activation function used in neural networks, characterized by its piecewise linearity and computational efficiency.

MLOps & Infrastructure

Hardware Acceleration

Hardware acceleration is the use of specialized computer hardware to perform certain tasks more efficiently than software running on a general-purpose CPU.

Data & Analytics

Hash Index

A hash index is a data structure that uses a hash function to map keys to locations in a database or storage system for fast data retrieval.

Generative AI

Hashtag Generation

Hashtag generation is the process of creating relevant and effective hashtags to improve content visibility and engagement on social media platforms.

Data & Analytics

HBase

HBase is a scalable, distributed, NoSQL database designed to handle large volumes of sparse data in real-time across clusters of commodity hardware.

Data & Analytics

HDFS

HDFS is the Hadoop Distributed File System designed to store and manage large datasets across multiple machines efficiently.

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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.