RLHF is the training technique that turned raw language models into helpful assistants like ChatGPT and Claude. Humans compare pairs of model answers and pick the better one; a reward model learns these preferences; then reinforcement learning optimizes the language model to produce responses humans prefer, making it more helpful, honest, and safe.