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Introducing the latest Machine Learning Lens for the AWS Well-Architected Framework

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Today, we are delighted to introduce the latest version of the AWS Well-Architected Machine Learning (ML) Lens whitepaper. The AWS Well-Architected Framework provides architectural best practices for designing and operating ML workloads on AWS.

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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning Blog

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

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Build generative AI apps using AWS Step Functions and Amazon Bedrock

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Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.

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Creating an artificial intelligence 101

Dataconomy

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless.

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Nvidia Muscles Into Cloud Services, Rankling AWS

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Last year, Nvidia made an unusual proposal to Amazon Web Services and other cloud providers that have long been the biggest buyers of Nvidia’s specialized artificial intelligence server chips. Nvidia wanted to lease Nvidia-powered servers in the cloud providers’ data centers so it could turn.

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Snapper provides machine learning-assisted labeling for pixel-perfect image object detection

AWS Machine Learning Blog

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. About the authors Jonathan Buck is a Software Engineer at Amazon Web Services working at the intersection of machine learning and distributed systems.

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How Artificial Intelligence Is Revitalizing Amazon's AWS Business: A Closer Look

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As one of the largest cloud computing providers in … The company turns to AI-powered solutions to help its business bounce back in an uncertain economy.