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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

The failed instance also needs to be isolated and terminated manually, either through the AWS Management Console , AWS Command Line Interface (AWS CLI), or tools like kubectl or eksctl. About the Authors Anoop Saha is a Sr GTM Specialist at Amazon Web Services (AWS) focusing on generative AI model training and inference.

Training 107
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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale. The system then orchestrates the creation of necessary model endpoints, processes documents in batches for efficiency, and automatically cleans up resources upon completion.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Agent broker methodology Following an agent broker pattern, the system is still fundamentally event-driven, with actions triggered by the arrival of messages. New agents can be added to handle specific types of messages without changing the overall system architecture.

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How Vidmob is using generative AI to transform its creative data landscape

AWS Machine Learning - AI

In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. The chatbot built by AWS GenAIIC would take in this tag data and retrieve insights.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

This solution is available in the AWS Solutions Library. The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing.

eCommerce 115
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The 10 most in-demand IT jobs in finance

CIO

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

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The 10 most in-demand IT jobs in finance

CIO

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.