LLM (Large Language Model)
The kind of AI behind ChatGPT, Claude and Gemini. It is trained on an enormous amount of text and predicts what should come next, which is enough to answer questions, summarise, translate and write.
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The kind of AI behind ChatGPT, Claude and Gemini. It is trained on an enormous amount of text and predicts what should come next, which is enough to answer questions, summarise, translate and write.
The limits placed on what an AI may say or do — refusing certain requests, staying on topic, never inventing a price. Essential on anything customer-facing.
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.
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.
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.
A saved set of prompts a team reuses so results stay consistent between people. The simplest way to stop everyone reinventing the same instructions badly.