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
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.
E-E-A-T
Google’s shorthand for Experience, Expertise, Authoritativeness and Trust — the qualities its raters look for. Not a score you can see, but a decent description of what makes content worth surfacing.
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.
AI Bias
When a system produces unfair results because its training data reflected an unfair world. It matters commercially as well as ethically: a biased model makes confidently wrong decisions about real people.
Embedding
A way of turning text into numbers so a computer can tell that “web hosting” and “website server space” are about the same thing. It is what makes search by meaning possible rather than search by exact word.
Digital Twin
A working model of something real — a building, a supply chain — kept in step with it using live data, so changes can be tested before they are made for real.