Prior Labs Releases TabPFN-3.5: A Tabular Foundation Model That Beats the Winning Otto Kaggle Solution With Default Settings

Prior Labs has released TabPFN-3.5, a foundation model trained exclusively on synthetic data to process tabular information. The model performs at a level that surpasses the previous winning entry in the Otto Group Product Classification Challenge while using default settings.