AI glossary / How it works
Reinforcement learning
Training by trial and error, where the AI is rewarded for good results.
Think of it as: Teaching a dog tricks with treats.
More words in How it works
- 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.
- Synthetic dataArtificially generated data used for training when real data is scarce, expensive or private.