TabPFN in Action: a Practical Workshop

​TabPFN makes zero-training predictions for tabular data possible: no preprocessing, no feature engineering, no time wasted on model training.

​In this hands-on session, we’ll show you how to get started quickly and how to make the most out of TabPFN. You’ll see:

• ​⚡ How TabPFN works in practice with live demos on real datasets

• ​🛠️ Best practices for using it effectively in your workflows

• ​🔑 Tips to unlock its full potential across different use cases

​Whether you’re just discovering TabPFN or already experimenting with it, you’ll leave with practical insights and tutorials you can apply right away.

​🎤 Hosts

​Frank Hutter
Co-founder of Prior Labs, Professor of Machine Learning at the University of Freiburg, and one of the most cited scientists in AutoML worldwide. Frank is a pioneer in foundation models for tabular data.

​Carl McBride Ellis
Prior Labs' Kaggle Grandmaster, Carl is one of the platform’s most prolific contributors. He brings deep hands-on expertise and will show you firsthand how to apply TabPFN in practice.

​📅 Agenda

• ​Introduction to Tabular AI and TabPFN

• ​Live Demo: Build Your First TabPFN Model in Colab

• ​Using TabPFN in Practice

• ​Q&A + What’s Next for TabPFN

​👉 Reserve your spot today and come ready to try TabPFN yourself!