# Google Research Ships TabFM, a Zero-Shot Foundation Model for Tables

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.

- Published: 2026-07-04T10:44:34.831Z
- Canonical: https://polylog.news/ai/2026-07-04/google-research-ships-tabfm-a-zero-shot-foundation-model-for
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Polylog editors](https://polylog.news), [Google Research](https://research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/), [MarkTechPost](https://www.marktechpost.com/2026/07/01/google-ai-introduces-tabfm-a-hybrid-attention-tabular-foundation-model-for-zero-shot-classification-and-regression/)

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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