Contextual supervision

Contextual supervision refers to a method in learning and data processing where an algorithm or model is guided by surrounding information to improve understanding and decision-making. Instead of relying solely on isolated data points, it considers the context in which that data exists. This approach helps systems to better interpret meaning and relationships, much like how people use background knowledge to make sense of new information. In general knowledge applications, it enhances the ability to provide relevant and accurate responses by factoring in the situational details and connections inherent in the data.