AI

How Amazon trains sequential ensemble models at scale with Amazon SageMaker Pipelines

Amazon SageMaker Pipelines includes features that allow you to streamline and automate machine learning (ML) workflows. This allows scientists and model developers to focus on model development and rapid experimentation rather than infrastructure management Pipelines offers the ability to orchestrate complex ML workflows with a simple Python SDK with the ability to visualize those workflows […]

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Implementing login node load balancing in SageMaker HyperPod for enhanced multi-user experience

Amazon SageMaker HyperPod is designed to support large-scale machine learning (ML) operations, providing a robust environment for training foundation models (FMs) over extended periods. Multiple users — such as ML researchers, software engineers, data scientists, and cluster administrators — can work concurrently on the same cluster, each managing their own jobs and files without interfering

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How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart

This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. As global trading volumes rise rapidly each year, capital markets firms are facing the need to manage large and diverse datasets to stay ahead. These datasets aren’t just expansive in volume; they’re critical in driving strategy development, enhancing execution, and

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How Twitch used agentic workflow with RAG on Amazon Bedrock to supercharge ad sales

Twitch, the world’s leading live-streaming platform, has over 105 million average monthly visitors. As part of Amazon, Twitch advertising is handled by the ad sales organization at Amazon. New ad products across diverse markets involve a complex web of announcements, training, and documentation, making it difficult for sales teams to find precise information quickly. In

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Teaching a robot its limits, to complete open-ended tasks safely

If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents learning constraints, or limitations of a specific task within the machine’s environment, to do chores safely and correctly. For instance, imagine asking a robot to clean your kitchen when it

Teaching a robot its limits, to complete open-ended tasks safely Read More »

Teaching a robot its limits, to complete open-ended tasks safely

If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents learning constraints, or limitations of a specific task within the machine’s environment, to do chores safely and correctly. For instance, imagine asking a robot to clean your kitchen when it

Teaching a robot its limits, to complete open-ended tasks safely Read More »

AI in health should be regulated, but don’t forget about the algorithms, researchers say

One might argue that one of the primary duties of a physician is to constantly evaluate and re-evaluate the odds: What are the chances of a medical procedure’s success? Is the patient at risk of developing severe symptoms? When should the patient return for more testing? Amidst these critical deliberations, the rise of artificial intelligence

AI in health should be regulated, but don’t forget about the algorithms, researchers say Read More »

AI in health should be regulated, but don’t forget about the algorithms, researchers say

One might argue that one of the primary duties of a physician is to constantly evaluate and re-evaluate the odds: What are the chances of a medical procedure’s success? Is the patient at risk of developing severe symptoms? When should the patient return for more testing? Amidst these critical deliberations, the rise of artificial intelligence

AI in health should be regulated, but don’t forget about the algorithms, researchers say Read More »