Building Foundations in AI Learning Through Reinforcement Fine-Tuning

This chapter discusses the significance of gradual learning in AI reinforcement, highlighting how the complexity of the problem influences the number of examples needed. It compares the AI training process to an educational curriculum, emphasizing the importance of foundational knowledge before advancing to more intricate concepts.