Close the Loop on Your ML Models with SageMaker HyperPod Data Capture

Learn how to build a continuous improvement cycle for your machine learning models by capturing live inference data and using it to spot blind spots in production. This walkthrough shows you how to record traffic with Amazon SageMaker HyperPod Data Capture, analyze it with Amazon Athena, and fine-tune your model on real-world examples to measure actual performance gains.