
Summary
If you caught Neuralk's latest benchmark, TabBench V2, you’ve seen that things are moving fast in Predictive AI.
With Tabular Foundation Models (TFMs) becoming the standard for predicting in the enterprise, there is a growing need to support practitioners in understanding how to use them effectively.
That is why PyData London invited Nicolas Makaroff and Stanislas Angebault, AI Researchers at Neuralk, to run a hands-on workshop on Tabular Foundation Models.
The goal was to help Data Scientists, Machine Learning Engineers and AI practitioners go from discovering these models to using them with confidence.
Working with real datasets and Neuralk’s own TFM, Seldon, participants explored what makes these models work, how they make predictions, the role of synthetic data in training, and how they perform in practice.