Advancements in Inference Scaling and Optimization Strategies

This chapter explores the complexities of scaling inference in AI, focusing on reinforcement learning and reward models that enhance reasoning capabilities. It underscores the importance of optimizing inference time compute and points to future research opportunities in this critical area.