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Machine Learning Glossary

RLHF

Reinforcement Learning from Human Feedback, a method that aligns models with human preferences using ranked examples.

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RLHF trains a model to produce answers people prefer. Humans rank candidate responses, a reward model learns those preferences, and reinforcement learning optimises the assistant against it. This is a key step behind the helpful, conversational tone of modern chat models, and it is complemented today by related techniques such as direct preference optimisation.

Related terms

Reinforcement Learning

Training an agent to take actions that maximise a reward through trial and error.

Fine-tuning

Further training a pre-trained model on a smaller, task-specific dataset so it specialises.

Guardrails

Rules and checks that keep an AI system within safe, intended behaviour.

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