AWS Machine Learning Blog

APRIL 10, 2025

Amazon SageMaker HyperPod resilient training infrastructure SageMaker HyperPod is a compute environment optimized for large-scale frontier model training. Frontier model builders can further enhance model performance using built-in ML tools within SageMaker HyperPod. Get started with Amazon SageMaker HyperPod.

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ML ML Clustering AWS 117

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MAY 30, 2025

The quality assurance process includes automated testing methods combining ML-, algorithm-, or LLM-based evaluations. In addition, the process employs traditional ML procedures such as named entity recognition (NER) or estimation of final confidence with regression models. The team extensively used fine-tuned SLMs.

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AI AI AWS ML 158

AWS Machine Learning Blog

MAY 14, 2025

Our team continually expands our recipes based on customer feedback and emerging machine learning (ML) trends, making sure you have the necessary tools for successful AI model training. Kanwaljit specializes in assisting customers with containerized applications and high-performance computing solutions.

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Clustering AWS ML ML 78

AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. Because you use p4de.24xlarge You can then take the easy-ssh.sh

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Clustering AWS ML ML 122

AWS Machine Learning Blog

FEBRUARY 19, 2025

Automated Reasoning is a field of computer science focused on mathematical proof and logical deductionsimilar to how an auditor might verify financial statements or how a compliance officer makes sure that regulatory requirements are met. Alfredo has a background in both electrical engineering and computer science.

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AWS Natural Language Processing Machine Learning Machine Learning 92

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JANUARY 15, 2025

System architecture for GNN-based network traffic prediction In this section, we propose a system architecture for enhancing operational safety within a complex network, such as the ones we discussed earlier. To learn how to use GraphStorm to solve a broader class of ML problems on graphs, see the GitHub repo.

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AWS Machine Learning Machine Learning System Architecture 139