Unsupervised Learning
Training a model on unlabelled data and letting it find structure by itself — grouping similar customers, say, without being told what the groups are.
Related terms
Organization Schema
Structured data describing the business itself: name, logo, address, contact details, social profiles. The single most useful markup for being recognised, and the one most small sites are missing.
AEO (Answer Engine Optimization)
Answer Engine Optimization is the work of becoming the source that answers a question rather than one of ten links offered. It matters because search increasingly replies with a written answer, and only one or two businesses get named inside it.
RAG (Retrieval-Augmented Generation)
A technique where the AI first searches a set of documents, then writes its answer from what it found. It is how assistants quote current information rather than whatever was in their training data.
Multimodal
An AI that handles more than one kind of input — text and images together, say, or audio and video. It is why you can now photograph a menu and ask an assistant what is in a dish.
Token
The unit an AI reads and writes in — roughly three quarters of a word. Models are priced and limited by tokens, which is why very long documents cost more and sometimes get truncated.
Inference
The moment an AI actually answers, as opposed to when it was trained. Training happens once and costs a fortune; inference happens every time somebody asks, and is what you pay for per use.