TabFM: A zero-shot foundation model for tabular data

In hindsight, the Prior Labs exit to SAP couldn't have been timed better.

150,000 rows of data, where will I store it all?!

On the one hand, this is impressive. TabPFN was already state of the art and is seriously shaking up Bayesian prediction for tabular data (which is almost everything).

On the other hand, perhaps it is just me, but I do not feel that this is an acceptable form of benchmark reporting in this domain. TabArena actually has multiple metrics, since ELO does not properly quantify the degree of improvement. The fact that these are not displayed here should give pause. Also the results section in the GitHub is a dumpster fire.

interesting to see this from Google after the SAP acquisition of Prior Labs.