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Category: Machine learning

September 12, 2024Machine learning

Enabling production-grade generative AI: New capabilities lower costs, streamline production, and boost security

As generative AI moves from proofs of concept (POCs) to production, we’re […]

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September 12, 2024Machine learning

How healthcare payers and plans can empower members with generative AI

In this post, we discuss how generative artificial intelligence (AI) can help […]

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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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