Bumblebee models

Bumblebee models refer to a type of machine learning architecture and methodology that is designed to make use of multiple models to enhance performance, robustness, and versatility. The term is often associated with the idea of model stacking or ensemble learning, where the strengths of various models are combined to produce better predictions than any single model could provide.