Google launches TabFM to bring zero-shot foundation models to tabular data
Google just introduced TabFM, a foundation model designed specifically for tabular regression and classification tasks. By framing tabular prediction as an in-context learning problem, it bypasses traditional feature engineering and hyperparameter tuning to generate predictions in a single pass. It is trained on synthetic data and integrated directly into BigQuery.