Morning Edition · Saturday, July 4, 2026Published at 6:44 AM EDT · New York
Trained entirely on synthetic data, TabFM predicts on unseen tables in a single forward pass and reportedly beats gradient-boosted trees on dozens of datasets.

Google Research published TabFM, a foundation model for classification and regression on tabular data that makes predictions on a brand-new table in a single forward pass with no dataset-specific training. As noted in AI channels, it foreca…
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