Reinforcement learning with human feedback is critical to not only ensuring the model’s alignment, it’s crucial to the long-term success and sustainability of generative AI as a whole.

Rather than generating potential outcomes based on historical data, deep reinforcement learning teaches AI agents and machines with the time-tested "carrot and stick" method.

Citations T. Haarnoja et al. Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Science Robotics. April 10, 2024. doi: 10.1126/scirobotics.adi8022.