Deep Learning
Machine learning using neural networks with many layers. The depth is what lets a system learn complicated things — recognising a face, translating a sentence — without anyone specifying how.
Related terms
Neural Network
A system of simple connected units, loosely inspired by the brain, that learns patterns from examples rather than following rules somebody wrote. Nearly all modern AI is built on one.
Training Data
The text, images or code a model learned from. It shapes everything the model knows and every bias it carries, and it is why what your website said two years ago may still be what an assistant repeats.
Well-Known URI
A standard location, always under /.well-known/, where machines look for information about a site — security contacts, API catalogues, agent details. Putting files there means they can be found without being linked.
OAI-SearchBot
The crawler OpenAI uses to answer live searches in ChatGPT, separate from GPTBot. Blocking one does not block the other, so a site can be absent from ChatGPT search while still being read for training.
Microdata
An older way of marking up facts, written as attributes on the HTML itself rather than in a separate block. Still understood, but JSON-LD is now the safer choice.
Supervised Learning
Training a model on examples that are already labelled with the right answer. It is the most common approach when you know exactly what you want the system to produce.