Google’s TabFM brings zero-shot learning to tabular data

Google Research introduces TabFM, a foundation model for tabular data that performs zero-shot inference without task-specific training. It achieves competitive results against tuned models on diverse datasets, reducing the need for labeled data. The model is open-sourced to accelerate research in tabular AI.