Standard LLMs struggle to analyze structured data once tables exceed a few rows. New Large Tabular Models solve this by treating spreadsheets as primary inputs rather than text. This shift allows AI to process bank logs and clinic metrics accurately. Practitioners can now automate complex data analysis without the hallucinations typical of ChatGPT.