Neat! We made a synthetic patient generation prototype a few years ago: https://pau.treenotation.org/synth/ https://pau.treenotation.org/synth/ The challenge a

Neat! We made a synthetic patient generation prototype a few years ago: https://pau.treenotation.org/synth/ https://pau.treenotation.org/synth/ The challenge at the time was generating realistic correlations between the columns. How do you approach this? I noticed LLMs are a huge breakthrough here with the downside that they currently rely on massive online models. I wonder if someone could train a tiny model that could fit on a local machine specifically to solve the synthetic data problem.