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.
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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.
Keeping a person in the decision, either approving what the AI produced or handling the cases it flags. The usual sensible middle ground between doing everything by hand and trusting a machine completely.
An AI reaching outside itself to do something it cannot do alone: run a search, do arithmetic reliably, read a live page. Nearly every useful assistant depends on it.
Training by trial, error and reward rather than by examples. It is how models are tuned to be helpful and to refuse things they should refuse.
Checking that your markup is valid and says what you meant. Worth doing after every template change, because broken structured data usually fails silently rather than visibly.
When an assistant turns one question into several searches behind the scenes, then combines what it finds. It means your page can be pulled into an answer about a question you never targeted.
Search that works on meaning rather than exact words, so a page can match a query it never literally contains. It is why writing naturally now beats repeating a keyword.