Human-in-the-loop (HITL) systems combine human judgment with automated models. Offline HITL refines training data by surfacing edge cases and guiding annotation. Online HITL keeps humans involved during inference to correct or approve predictions. This iterative cycle shortens development time and yields higher accuracy than purely automated processes.