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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

Introducing Amazon SageMaker partner AI apps Today, we’re excited to announce that AI apps from AWS Partners are now available in SageMaker. Streamlined access Use AWS credits to use partner apps without navigating lengthy procurement or approval processes, accelerating adoption and scaling of AI observability.

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A secure approach to generative AI with AWS

AWS Machine Learning Blog

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. At AWS, our top priority is safeguarding the security and confidentiality of our customers’ workloads. With the AWS Nitro System , we delivered a first-of-its-kind innovation on behalf of our customers.

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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. billion in 2017 to a projected $37.68

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Unlocking complex problem-solving with multi-agent collaboration on Amazon Bedrock

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By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The concept of multi-agent systems isnt entirely newit has its roots in distributed artificial intelligence research dating back to the 1980s.

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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. You can use AWS PrivateLink with Amazon Bedrock to establish private connectivity between your FMs and your VPC without exposing your traffic to the internet.

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Strengthening cybersecurity in life sciences with IBM and AWS

IBM Journey to AI blog

In 2017, 94% of hospitals used electronic clinical data from their EHR. Leading life sciences companies are discovering the power of cloud in enabling analytics and artificial intelligence (AI) , shrinking innovation cycles, and standardizing processes across global operations, among other benefits.

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Customize Amazon Nova models to improve tool usage

AWS Machine Learning Blog

Amazon Nova models and Amazon Bedrock Amazon Nova models , unveiled at AWS re:Invent in December 2024, are optimized to deliver exceptional price-performance value, offering state-of-the-art performance on key text-understanding benchmarks at low cost. Choose us-east-1 as the AWS Region.

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