Balancing Training Approaches in AI: SFT vs. RL

This chapter explores the complexities of supervised fine-tuning and reinforcement learning in AI models, highlighting their respective advantages and drawbacks. It also underscores the critical need for understanding underlying principles in AI development and cautions against the influences that can skew model behavior.