supervisory models

Supervisory models are systems used to monitor and regulate the behavior of other models or processes, ensuring they work accurately and efficiently. Think of them as overseers that check the outputs of automated systems, identify errors, and provide feedback. This is common in areas like machine learning, where a supervisory model guides a primary model to improve performance, consistency, and reliability. Essentially, they ensure that complex automated tasks are carried out correctly, much like a quality control supervisor in a factory, but here they operate within algorithms and data systems.