TabPFN-3.5 is released as the next SOTA tabular foundation model [N]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
Prior Labs released their latest tabular foundation model, TabPFN-3.5 today.
The model is top of both TabArena and BeyondArena and SOTA for 1M rows and up to 20k features
It comes with:
- TabPFN-3.5-Fast (in alpha): This one goes 6x faster than the base model
- TabPFN-3.5-Thinking: you basically exchange compute for better accuracy with this one and it's via the API
- TabPFN-3.5-Plus
On BeyondArena, TabPFN-3.5 leads on text-rich, high-cardinality and high-dimensional data, with +250 Elo points over the strongest previous baseline and +150 Elo points ahead of the previous overall leader.
TabPFN-3.5-Thinking is +20 Elo on the base model in BeyondArena and +44 Elo on TabArena
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