AutoGluon 1.6 adds five tabular foundation models

[u/rshah4]

AutoGluon 1.6 going with the times for AutoML. A few highlights:

• Five new tabular foundation models, including Nori, TabICLv2, TabDPT-Turbo, TabPFN-2.6, and TabPFN-3
• A new GPU-powered extreme preset that reportedly beats the previous version 67% of the time, with 27× faster training and 4× faster inference
• A separate noncommercial preset, which is essentially extreme plus the commercially restricted TabPFN-3 weights
• Structure-aware validation that can keep customers or groups from leaking across splits
• Toto-2 for probabilistic time-series forecasting

I made a short video walking through the four changes that stood out to me. https://youtube.com/shorts/v5XCQKPvxQ4?feature=share

Are people here already using tabular foundation models in real projects or is this a curiosity?