The Sequence AI of the Week #891: Prompting a Spreadsheet : Inside Google’s TabFM for Tabular AI
TheSequence Jesus Rodriguez
Google Research released TabFM, a foundation model for tabular data that performs classification and regression tasks without training, tuning, or feature engineering by treating the entire problem as a single prompt. TabFM builds on the approach of TimesFM, Google's time-series foundation model, and uses in-context learning to make predictions on unseen tabular data in a single forward pass. This approach disrupts the traditional enterprise ML workflow of manual feature engineering and hyperparameter tuning that has dominated for over a decade.
Why it matters
Addressing one of the biggest use cases in enterprise AI.
