Standard LLMs struggle to analyze structured data once tables exceed a small size. New Large Tabular Models solve this by treating spreadsheets as primary inputs rather than text strings. This shift allows generative AI to handle transaction logs and metrics accurately. Practitioners can now automate complex data analysis without relying on fragile prompt engineering.