[cpard]

That makes sense, do you think LLMs have or can potentially change that and end up having more realistic synthetic data than what you've seen in the past? I guess the data you were working were more like time series data but still if an large language model can be perceived as a universal approximator of some sort, might be able to generate more realistic synthetic data than the approach you described with the noise dust sprinkled on data.