RLHF represents an advanced evolution of Reinforcement Learning (RL). RL is a training approach for AI models that operates on the principle of rewards and punishments. RLHF, on the other hand, takes this a step further by incorporating human feedback into the training loop. It trains a model via iterative interactions. During these interactions, humans offer guidance or evaluations, which are then used to refine the model's decision-making mechanism, enhancing its performance and alignment with human preferences.
