Tabular Data Finally Gets a Foundation Model
Google Research published TabFM, a foundation model for tabular classification and regression that applies in-context learning to structured data — no task-specific training, no hyperparameter tuning. It beats gradient-boosted trees on TabArena's 51 datasets. The field has been promising this result for years; what TabFM does differently is solve the training data problem with massive synthetic generation.
Read more →