Amazon Nova models now utilize RLAIF, a process where an LLM acts as the judge for reinforcement learning. This replaces human feedback with automated model-based evaluations to refine outputs. The approach streamlines the fine-tuning pipeline. Practitioners can now scale model alignment without the bottleneck of manual human labeling for every training iteration.