AI
Reinforcement learning
An agent learns by trial and reward, maximising a cumulative signal rather than matching labelled examples.
RLHF (reinforcement learning from human feedback) is how current language models are aligned to follow instructions and avoid harmful output. The reward model is itself a trained model, so the alignment inherits whatever biases the feedback data carries.