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An ML research team creates custom ML models and shares the model artifacts with other teams for integration. The ML team keeps the training code and data. They need to establish a mechanism for the ML team to audit the models.
What solution should the ML team implement when publishing the custom ML models?
A
Create documents with the relevant information. Store the documents in Amazon S3.
B
Use AWS AI Service Cards for transparency and understanding models.
C
Create Amazon SageMaker Model Cards with intended uses and training and inference details.
D
Create model training scripts. Commit the model training scripts to a Git repository.