yes, a kind of flavor of it. but also not quite. in traditional data augmentation (say image/cnn contexts) you add noise to the data, rescale it etc. here, the difference is that you actually generate that data. in image/cnn land that would be using a diffusion model to generate
Data Augmentation vs Generative Models: Key Differences Explained
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