What do people do with synthetically generated data? Use it to train models? I doubt if models will improve by appending redundant data since they use the training data to estimate distributions. Just curious.
The thing is you use synthetic data to when it is difficult to obtain real data. For example, in medical imaging, it is very expensive to collect MRI scans to build a large dataset. Not to mention the potential privacy issues and obtaining informed consent to publish the dataset. Synthetic datasets can help here to, for example, pretrain your model and fine tune on real data afterwards. I'm then assuming that collecting tabular data can face similar issues which prevent building large datasets.