Part 4/7:
Verifier Reward Models: These are separate models that evaluate or verify the steps taken by the main language model when it tries to solve a problem. This process-based approach helps the model become more accurate by ensuring that every part of its reasoning is sound.
Adaptive Response Updating: This allows the model to adapt and refine its answers on the fly based on what it learns as it goes. Instead of just spitting out one answer, the model revises its response multiple times, taking into account what it got right and wrong in the previous attempts.