Amazon SageMaker HyperPod launches model deployments to accelerate the generative AI model development lifecycle

Today, we’re excited to announce that Amazon SageMaker HyperPod now supports deploying foundation models (FMs) from Amazon SageMaker JumpStart, as well as custom or fine-tuned models from Amazon S3 or Amazon FSx. With this launch, you can train, fine-tune, and deploy models on the same HyperPod compute resources, maximizing resource utilization across the entire model…

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HHS blocks illegal immigrants from Head Start program, saving $374 million

NEWYou can now listen to Fox News articles! The Trump administration announced Thursday that the Department of Health and Human Services will ban illegal immigrants from accessing taxpayer-funded services, including the popular Head Start early childhood education program.  The agency announced that it will rescind the 1998 interpretation of the Personal Responsibility and Work Opportunity…

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Nearly a million browsers affected by more malicious browser extensions – here’s what we know

Researchers find 245 extensions installed on nearly a million devices The extensions could turn devices into web scraping bots for a commercial service Researchers warned about major security implications A new investigation has revealed 245 browser extensions, installed on almost a million devices, have been leading a double life, as besides the operations they were…

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Accelerating generative AI development with fully managed MLflow 3.0 on Amazon SageMaker AI

Amazon SageMaker now offers fully managed support for MLflow 3.0 that streamlines AI experimentation and accelerates your generative AI journey from idea to production. This release transforms managed MLflow from experiment tracking to providing end-to-end observability, reducing time-to-market for generative AI development. As customers across industries accelerate their generative AI development, they require capabilities to…

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