Open Internet by MindsNet

Scalability and Efficiency of Tabular Foundation Models

The author questions the practicality of tabular foundation models due to their limitations in handling small datasets, requiring large GPU machines, and extensive model downloads for prediction. They express concerns about the efficiency and scalability of these models in real-world applications.

Computing & Technology, Computer Science, Machine Learning