demonstrated an early vision of interactive machine learning, allow-
ing non-expert users to train classifiers [29]. Further work helped to
articulate how end users might describe their classification goals to
the system through examples [33] and/or demonstration [31]. More
recent work has extended these explorations to deep learning [62]
and prompt-based authoring [49, 66, 106].
Generative Agents- Interactive Simulacra of Human Behavior