Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression

Google Research has released TabFM, a foundation model designed to perform classification and regression tasks on tabular data without the need for dataset-specific training. By utilizing in-context learning, the model generates predictions in a single pass, eliminating the requirement for traditional hyperparameter tuning or manual feature engineering.