Google Introduces TabFM: A Foundation Model for Tabular Data with Zero-Shot Learning
Google Research has unveiled TabFM, a foundation model for tabular data that uses zero-shot in-context learning to perform classification and regression without manual training or feature engineering. The model is trained entirely on hundreds of millions of synthetic datasets generated via structural causal models and outperforms traditional algorithms like XGBoost on the TabArena benchmark. TabFM will be integrated into Google BigQuery, allowing users to run predictions with a simple SQL command.
Google/DeepMind

