What aspect of models does the Amazon SageMaker Model Cards emphasize?

The Amazon SageMaker Model Cards emphasize performance metrics and the intended use of machine learning models. Model Cards serve as a summary for each model, providing essential information about how the model is expected to perform, under what conditions it should be used, and any potential limitations or risks associated with its application. This transparency is crucial as it helps stakeholders understand the capabilities of the model, its accuracy, bias, and ethical considerations, which are key factors when deploying models in real-world scenarios.

By focusing on performance metrics, Model Cards ensure that users can make informed decisions regarding the model's applicability to their specific needs and contexts. This emphasis on understanding model characteristics and anticipated performance is essential for responsible AI deployment. Understanding a model’s intended use also aids in compliance with regulations and helps mitigate risks associated with deploying AI technologies.