 synthetic data generation with
tools like <strong>tidyllm</strong> into traditional survey workflows
offers exciting possibilities for researchers. As LLMs become more
advanced and capable of simulating nuanced human behaviors, the accuracy
of synthetic responses will likely improve. This could lead to faster,
more efficient iterations in survey design, enabling researchers to
refine questions and test hypotheses with diverse, simulated populations
before real-world deployment.</p>
<p>Moreover, future adva