AI glossary / How it works
Reasoning model
A model built to think through a problem step by step before it answers. Slower, but stronger on maths, logic and planning.
More words in How it works
- Reinforcement learningTraining by trial and error, where the AI is rewarded for good results.
- RLHFReinforcement learning from human feedback. People rate the AI's answers and it learns to give the kind people prefer.
- Self-supervised learningLearning from raw data without human labels, for example by hiding a word in a sentence and trying to guess it. This is how language models learn.
- SubagentA helper agent that a main agent hands part of a job to. It works on its piece and reports back.
- Supervised learningTraining with examples that come with the right answers attached, such as photos already labelled cat or dog.