At AWS re:Invent, Amazon SageMaker announced new capabilities to help accelerate building, training, and deployment of large language models and other foundation models. As models continue to transform customer experiences across industries, SageMaker is making it easier and faster for organizations to build, train, and deploy machine learning (ML) models that power a variety of generative AI uses cases. The announcements include the new Amazon SageMaker HyperPod that further enhances SageMaker for scaling with models by accelerating model training time. Another new SageMaker capability optimizes managed ML infrastructure operations by reducing deployment costs and latency of models. These advancements build on SageMaker's extensive capabilities to help customers innovate with ML at scale. Learn more at: go.aws/487mCFP Learn more about AWS events: go.aws/3kss9CP Subscribe: More AWS videos: bit.ly/2O3zS75 More AWS events videos: bit.ly/316g9t4 ABOU...