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Twelve subject areas cover the whole glossary — machine learning, language, vision, data, safety and infrastructure. Pick the area, then read the terms inside it in plain English.

12 Areas

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Every area with a peek at the terms inside it, whether it holds twenty entries or is still being written. Sort by size or jump straight to a letter.

12 areas All terms

Machine Learning Coming soon Plain English definitions for the machine learning ideas that everything else in AI builds... Explore

Deep Learning Coming soon Definitions for neural networks and the layered machinery that trains them. Explore

Natural Language Coming soon How machines read write and reason about human language. Explore

Generative AI Coming soon Models that create new text images audio and code. Explore

Computer Vision Coming soon How models read pictures video and everything visual. Explore

Data & Training Coming soon Datasets labelling evaluation and the training loop itself. Explore

Ethics & Safety Coming soon Alignment bias interpretability and the real limits of these systems. Explore

Infrastructure Coming soon Serving scaling and running models in production. Explore

Agents & Tooling Coming soon Terms covering autonomous agents tool calling planning loops and the vocabulary that has g... Explore

Prompting & Context Coming soon Terms covering prompt design context management system instructions and the techniques tha... Explore

Evaluation & Benchmarks Coming soon Terms covering benchmark suites evaluation metrics scoring methods and what each number ac... Explore

Reinforcement Learning Coming soon Terms covering reward models policy optimisation exploration and the training loops that s... Explore

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How this glossary works

Definitions You Can Actually Use

A reference works when you can arrive from any direction, read one entry, and leave knowing the thing.

PLAIN ENGLISH

Written To Be Understood

Every definition opens with one sentence a non-specialist can read, then goes deeper. No entry starts by using three other terms you have not met yet.

Cross-Linked, Not Isolated

Entries name what they build on and what they contrast with, so you can follow a thread instead of bouncing between search results.

Levelled Honestly

Beginner assumes no maths. Advanced assumes linear algebra and some familiarity with the literature. The label tells you before you start reading.

Every Acronym Resolves

Search RAG, CoT, ANN or ConvNet and you land on the full entry. Aliases are real records, not a guess made at query time.

Reviewed By People

Definitions are edited and checked rather than generated in bulk. When one is wrong we would rather you told us than that we shipped more of them.

Two Ways In

Jump to a letter if you know the word, or browse by subject area if you only know roughly where it sits. Both reach the same catalogue.

Start with the field. All Glossary Areas

Browse every Glossary Area

Not sure which area a term lives in?

Definitions You Can Actually Use

Written To Be Understood

Cross-Linked, Not Isolated

Levelled Honestly

Every Acronym Resolves

Reviewed By People

Two Ways In

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