We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...
It was a privilege to be at the Paris Blockchain Week 2024, which brought together industry leaders, innovators and enthusiasts to discuss the latest...
Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training, removing the undifferentiated heavy lifting involved in managing and optimizing a large training...
Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. A Gartner, Inc. survey revealed that 87 percent of...
Migrating to the cloud is an essential step for modern organizations aiming to capitalize on the flexibility and scale of cloud resources. Tools like...
Recent developments in machine learning (ML) have led to increasingly large models, some of which require hundreds of billions of parameters. Although they are...
Eva Amsen reviews Third Millennium Thinking: Creating Sense in a World of Nonsense by Saul Perlmutter, John Campbell and Robert MacCoun
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Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...