Trends in Language Model Architecture

This chapter examines the current landscape of language model architecture, emphasizing the rise of transformers and their implications for hardware specialization. It addresses the challenges associated with transformers, such as hallucinations, while exploring the balance between custom chip development and model flexibility. The chapter also highlights the shift towards domain-specific models, showcasing how smaller, tailored models can effectively meet enterprise needs compared to larger counterparts.