# Explanation Understanding-oriented essays, one concept per page: what simulation-based inference is and the simulate → train → validate → export workflow, why a learned likelihood is validated before it is trusted, why hierarchical inference is powerful, and how fast setu is on a single measured task. ```{toctree} :maxdepth: 1 What is SBI? The four-phase workflow Why validate a learned likelihood Why hierarchical inference is powerful How fast is setu, and on what ```