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A/B test simulations using data-driven personas can achieve up to 90% accuracy, drastically cutting down on the time and resources needed for real-world testing.
LLM-generated survey responses can be statistically accurate yet still miss the option most preferred by humans, highlighting a critical flaw in current evaluation methods.
