Reasoning and Action in Language Models

The chapter explores the importance of combining reasoning and action in language models through an example from hotspot QA, highlighting the multi-hop nature of the dataset and systematic problem-solving methods. It compares the performance of reasoning-only and action-only approaches, showcasing the effectiveness of combining both strategies for better results in complex question answering tasks.