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.
angkor@design~query "Angkor Design"
4 matches — opening studio
Prefer to talk it through? Pick a time that suits you — free, no obligation. We'll meet on Google Meet or Telegram.Book a meeting →
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.
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 extension to robots.txt that states not just who may crawl, but what they may do with what they find: appear in search, be quoted in answers, be used as training data. It lets you permit citation while refusing training.
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.
An attack where hidden instructions in a web page or document trick an AI into ignoring its real orders. The reason a careful assistant treats page content as information, never as commands.
The name a browser or bot gives when it requests a page. It is how a server tells Googlebot from ChatGPT from a person, and how robots.txt rules are addressed to one and not another.
Using historical data to estimate what will happen next: which customers will lapse, which stock will run out. Useful precisely to the degree that the past resembles the future.