AI Glossary

Start from what you already half-know

Every definition in the glossary sits in one subject area. Pick the one nearest your question and read outwards from there.

Jump to: Machine Learning Deep Learning Natural Language Generative AI Computer Vision Data & Training
8 Subject Areas
32 Terms Defined
12 Start-Here Terms
21 Letters Covered
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All areas

Browse by Subject Area

Each area is a self-contained reading path. The entries inside cross-link to the rest of the glossary, so you can start narrow and widen out.

Machine Learning

The core ideas behind systems that learn patterns from data.

7 terms

Deep Learning

Neural networks with many layers, and the machinery that trains them.

5 terms

Natural Language

How machines read, generate and reason about human language.

7 terms

Generative AI

Models that produce new text, images, audio or code.

4 terms

Computer Vision

Making sense of images and video.

1 term

Data & Training

Datasets, labelling, evaluation and the training loop itself.

1 term

Ethics & Safety

Alignment, bias, interpretability and the limits of these systems.

3 terms

Infrastructure

Serving, scaling and running models in production.

4 terms
Browse every term A–Z

A look inside

Three entries from each area, so you can tell at a glance whether it is the one you want.

Machine Learning Embedding Machine Learning Neural Network Machine Learning Overfitting Deep Learning Attention Deep Learning Backpropagation Deep Learning Gradient Descent Natural Language Chain-of-Thought Natural Language Context Window Natural Language Few-Shot Learning Generative AI Diffusion Model Generative AI Generative Adversarial Network Generative AI Prompt Engineering Computer Vision Convolutional Neural Network Data & Training Fine-Tuning Ethics & Safety Alignment Ethics & Safety Hallucination Ethics & Safety RLHF Infrastructure Inference Infrastructure Model Distillation Infrastructure Quantization

Or come at it by topic

Topics cut across the areas — “Acronym” and “Beginner Friendly” each pull from several of them at once.

Beginner Friendly 12 Fundamentals 11 Training 10 Architecture 9 Acronym 8 Prompting 6 Interview Prep 3 Optimisation 3 Safety 3 Evaluation 1