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  • Schedule topology-aware workloads using Amazon SageMaker HyperPod task governance

    calendar Sep 15, 2025 · aws.amazon.com/blogs/machine-learning
    Schedule topology-aware workloads using Amazon SageMaker HyperPod task governance

    In this post, we introduce topology-aware scheduling with SageMaker HyperPod task governance by submitting jobs that represent hierarchical network information. We provide details about how to use SageMaker HyperPod task governance to optimize your job efficiency. Link to article: …


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  • How msg enhanced HR workforce transformation with Amazon Bedrock and msg.ProfileMap

    calendar Sep 15, 2025 · aws.amazon.com/blogs/machine-learning
    How msg enhanced HR workforce transformation with Amazon Bedrock and msg.ProfileMap

    In this post, we share how msg automated data harmonization for msg.ProfileMap, using Amazon Bedrock to power its large language model (LLM)-driven data enrichment workflows, resulting in higher accuracy in HR concept matching, reduced manual workload, and improved alignment with compliance requirements under the EU AI …


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  • Automate advanced agentic RAG pipeline with Amazon SageMaker AI

    calendar Sep 12, 2025 · aws.amazon.com/blogs/machine-learning
    Automate advanced agentic RAG pipeline with Amazon SageMaker AI

    In this post, we walk through how to streamline your RAG development lifecycle from experimentation to automation, helping you operationalize your RAG solution for production deployments with Amazon SageMaker AI, helping your team experiment efficiently, collaborate effectively, and drive continuous improvement. Link …


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  • Unlock model insights with log probability support for Amazon Bedrock Custom Model Import

    calendar Sep 12, 2025 · aws.amazon.com/blogs/machine-learning
    Unlock model insights with log probability support for Amazon Bedrock Custom Model Import

    In this post, we explore how log probabilities work with imported models in Amazon Bedrock. You will learn what log probabilities are, how to enable them in your API calls, and how to interpret the returned data. We also highlight practical applications—from detecting potential hallucinations to optimizing RAG systems …


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  • Migrate from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock

    calendar Sep 12, 2025 · aws.amazon.com/blogs/machine-learning
    Migrate from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock

    This post provides a systematic approach to migrating from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock. We examine the key model differences, highlight essential migration considerations, and deliver proven best practices to transform this necessary transition into a strategic advantage that …


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  • Enhance video understanding with Amazon Bedrock Data Automation and open-set object detection

    calendar Sep 11, 2025 · aws.amazon.com/blogs/machine-learning
    Enhance video understanding with Amazon Bedrock Data Automation and open-set object detection

    In real-world video and image analysis, businesses often face the challenge of detecting objects that weren’t part of a model’s original training set. This becomes especially difficult in dynamic environments where new, unknown, or user-defined objects frequently appear. In this post, we explore how Amazon Bedrock Data …


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  • How Skello uses Amazon Bedrock to query data in a multi-tenant environment while keeping logical boundaries

    calendar Sep 11, 2025 · aws.amazon.com/blogs/machine-learning
    How Skello uses Amazon Bedrock to query data in a multi-tenant environment while keeping logical boundaries

    Skello is a leading human resources (HR) software as a service (SaaS) solution focusing on employee scheduling and workforce management. Catering to diverse sectors such as hospitality, retail, healthcare, construction, and industry, Skello offers features including schedule creation, time tracking, and payroll …


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  • Create a private workforce on Amazon SageMaker Ground Truth with the AWS CDK

    calendar Sep 11, 2025 · aws.amazon.com/blogs/machine-learning
    Create a private workforce on Amazon SageMaker Ground Truth with the AWS CDK

    In this post, we present a complete solution for programmatically creating private workforces on Amazon SageMaker AI using the AWS Cloud Development Kit (AWS CDK), including the setup of a dedicated, fully configured Amazon Cognito user pool. Link to article: …


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  • TII Falcon-H1 models now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

    calendar Sep 10, 2025 · aws.amazon.com/blogs/machine-learning
    TII Falcon-H1 models now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

    We are excited to announce the availability of the Technology Innovation Institute (TII)’s Falcon-H1 models on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now use six instruction-tuned Falcon-H1 models (0.5B, 1.5B, 1.5B-Deep, 3B, 7B, and 34B) on AWS, …


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  • Oldcastle accelerates document processing with Amazon Bedrock

    calendar Sep 10, 2025 · aws.amazon.com/blogs/machine-learning
    Oldcastle accelerates document processing with Amazon Bedrock

    This post explores how Oldcastle partnered with AWS to transform their document processing workflow using Amazon Bedrock with Amazon Textract. We discuss how Oldcastle overcame the limitations of their previous OCR solution to automate the processing of hundreds of thousands of POD documents each month, dramatically …


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  • How London Stock Exchange Group is detecting market abuse with their AI-powered Surveillance Guide on Amazon Bedrock

    calendar Sep 10, 2025 · aws.amazon.com/blogs/machine-learning
    How London Stock Exchange Group is detecting market abuse with their AI-powered Surveillance Guide on Amazon Bedrock

    In this post, we explore how London Stock Exchange Group (LSEG) used Amazon Bedrock and Anthropic's Claude foundation models to build an automated system that significantly improves the efficiency and accuracy of market surveillance operations. Link to article: …


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  • Build trustworthy AI agents with Amazon Bedrock AgentCore Observability

    calendar Sep 10, 2025 · aws.amazon.com/blogs/machine-learning
    Build trustworthy AI agents with Amazon Bedrock AgentCore Observability

    In this post, we walk you through implementation options for both agents hosted on Amazon Bedrock AgentCore Runtime and agents hosted on other services like Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Kubernetes Service (Amazon EKS), AWS Lambda, or alternative cloud providers. We also share best practices …


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  • Powering innovation at scale: How AWS is tackling AI infrastructure challenges

    calendar Sep 9, 2025 · aws.amazon.com/blogs/machine-learning
    Powering innovation at scale: How AWS is tackling AI infrastructure challenges

    As generative AI continues to transform how enterprises operate—and develop net new innovations—the infrastructure demands for training and deploying AI models have grown exponentially. Traditional infrastructure approaches are struggling to keep pace with today’s computational requirements, network demands, and …


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  • Accelerate your model training with managed tiered checkpointing on Amazon SageMaker HyperPod

    calendar Sep 9, 2025 · aws.amazon.com/blogs/machine-learning
    Accelerate your model training with managed tiered checkpointing on Amazon SageMaker HyperPod

    AWS announced managed tiered checkpointing in Amazon SageMaker HyperPod, a purpose-built infrastructure to scale and accelerate generative AI model development across thousands of AI accelerators. Managed tiered checkpointing uses CPU memory for high-performance checkpoint storage with automatic data replication across …


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  • Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation

    calendar Sep 8, 2025 · aws.amazon.com/blogs/machine-learning
    Maximize HyperPod Cluster utilization with HyperPod task governance fine-grained quota allocation

    We are excited to announce the general availability of fine-grained compute and memory quota allocation with HyperPod task governance. With this capability, customers can optimize Amazon SageMaker HyperPod cluster utilization on Amazon Elastic Kubernetes Service (Amazon EKS), distribute fair usage, and support …


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  • Build and scale adoption of AI agents for education with Strands Agents, Amazon Bedrock AgentCore, and LibreChat

    calendar Sep 8, 2025 · aws.amazon.com/blogs/machine-learning
    Build and scale adoption of AI agents for education with Strands Agents, Amazon Bedrock AgentCore, and LibreChat

    This post demonstrates how to quickly build sophisticated AI agents using Strands Agents, scale them reliably with Amazon Bedrock AgentCore, and make them accessible through LibreChat’s familiar interface to drive immediate user adoption across your institution. Link to article: …


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  • Skai uses Amazon Bedrock Agents to significantly improve customer insights by revolutionized data access and analysis

    calendar Sep 8, 2025 · aws.amazon.com/blogs/machine-learning
    Skai uses Amazon Bedrock Agents to significantly improve customer insights by revolutionized data access and analysis

    Skai (formerly Kenshoo) is an AI-driven omnichannel advertising and analytics platform designed for brands and agencies to plan, launch, optimize, and measure paid media across search, social, retail media marketplaces and other “walled-garden” channels from a single interface. In this post, we share how Skai used …


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  • The power of AI in driving personalized product discovery at Snoonu

    calendar Sep 8, 2025 · aws.amazon.com/blogs/machine-learning
    The power of AI in driving personalized product discovery at Snoonu

    In this post, we share how Snoonu, a leading ecommerce platform in the Middle East, transformed their product discovery experience using AI-powered personalization. In this post, we share how Snoonu, a leading ecommerce platform in the Middle East, transformed their product discovery experience using AI-powered …


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