A mobile-money help line in Accra tunes its assistant with reinforcement learning from human feedback: SFT, a reward model trained on comparisons, then PPO with four models in memory. Watch the reward model's score and real human preference rise together, until they part. Then remove the KL penalty, use a small reward model, or squeeze all four models onto one GPU. This lesson needs JavaScript.