Model Drift
When a model gets worse over time because the world moved on and it did not. A pricing or demand model trained two years ago quietly stops matching how customers behave now.
Related terms
Hallucination
When an AI states something false with complete confidence — an invented price, a policy you never had, a product you do not sell. The usual cause is that the correct fact was not available anywhere it could read.
Markdown
A plain-text way of writing formatted documents using symbols like # for a heading. AI systems read it easily because the structure is unambiguous, which is why some sites now offer it alongside HTML.
AI Referral Traffic
Visitors who arrive from an AI assistant rather than a search engine. Usually small in number and unusually well-qualified, because they clicked after reading a recommendation.
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.
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.
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.