Tabular data foundation model slashes training to seconds

The authors' advance is expected to have a profound effect in many areas, as the new model can make immediate inferences from tabular data, enhancing prediction speed.

Using a battery of experiments, the researchers found that TabPFN consistently outperforms other machine learning methods for data sets with up to 10,000 rows and 500 columns.

Read at Theregister