Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. SageMaker makes it straightforward to deploy models into production directly through API calls to the service. Models are packaged into containers for robust and scalable deployments. Although […]
Originally appeared here:
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements