BLOG POST

Aligning large language models to behave more helpfully, truthfully, and safely is one of the most important steps in building reliable AI. For years, teams have turned to reinforcement learning from human feedback (RLHF) to do exactly that. The go-to tool has been Proximal Policy Optimization (PPO)—a powerful but notoriously