Navigating AI Training Complexities

This chapter explores the intricate processes involved in training large language models (LLMs), including pre-training, fine-tuning, and reinforcement learning. It emphasizes the role of structured prompts and human feedback in shaping model performance, while also addressing the potential limitations of current AI capabilities. The discussion raises critical questions about the implications of AI decision-making and the need for oversight in managing advanced AI systems.