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Category: Machine learning

September 12, 2024Machine learning

Scaling Thomson Reuters’ language model research with Amazon SageMaker HyperPod

Thomson Reuters, a global content and technology-driven company, has been using artificial […]

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September 12, 2024Machine learning

Introducing Amazon EKS support in Amazon SageMaker HyperPod

We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support […]

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September 11, 2024Machine learning

Generative AI-powered technology operations

Technology operations (TechOps) refers to the set of processes and activities involved […]

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September 11, 2024Machine learning

Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink

Time series data is a distinct category that incorporates time as a […]

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September 11, 2024Machine learning

A review of purpose-built accelerators for financial services

Data contains information, and information can be used to predict future behaviors, […]

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September 11, 2024Machine learning

Optimizing MLOps for Sustainability

Machine learning operations (MLOps) are a set of practices that automate and […]

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September 11, 2024Machine learning

Enabling complex generative AI applications with Amazon Bedrock Agents

In June, I started a series of posts that highlight the key […]

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September 11, 2024Machine learning

Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data

This post is co-written with Francisco Azuaje from Genomics England. Genomics England […]

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September 9, 2024Machine learning

Amazon EC2 P5e instances are generally available

State-of-the-art generative AI models and high performance computing (HPC) applications are driving […]

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September 9, 2024Machine learning

Align Meta Llama 3 to human preferences with DPO, Amazon SageMaker Studio, and Amazon SageMaker Ground Truth

Large language models (LLMs) have remarkable capabilities. Nevertheless, using them in customer-facing […]

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