Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression

Read full story on MarkTechPost
Share
Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression
AI disclosure

Summary

<p>Google Research has released TabFM, a foundation model for tabular data. It performs zero-shot classification and regression through in-context learning. Predictions come from a single forward pass, with no per-dataset training, hyperparameter tuning, or feature engineering.</p> <p>The post <a href="https://www.marktechpost.com/2026/07/01/google-ai-introduces-tabfm-a-hybrid-attention-tabular-foundation-model-for-zero-shot-classification-and-regression/">Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>

Original reporting

Open original source

Related coverage

Read full article on MarkTechPost

Get the AFBytes Brief

Major stories, AI-assisted analysis, and what to watch next. Free, monthly, unsubscribe anytime.