Understanding AI Models and the Importance of Context

This chapter explores the limitations of AI models based on generic training data and the significance of analyzing taxonomies and information structures for understanding the patterns in model responses. Additionally, it discusses the importance of domain-specific training and the potential of RAG models to enhance context and specificity in outputs.