Standard LLMs struggle to analyze data once it exceeds small table sizes. New Large Tabular Models solve this by processing structured spreadsheets directly rather than converting them to text. This shift allows enterprises to analyze massive transaction logs and metrics without the hallucinations common in chatbots. Practitioners can now automate complex data analysis at scale.