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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

Solution overview To evaluate the effectiveness of RAG compared to model customization, we designed a comprehensive testing framework using a set of AWS-specific questions. Our study used Amazon Nova Micro and Amazon Nova Lite as baseline FMs and tested their performance across different configurations.

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3 Case studies demonstrate the power of modern enterprise content management

CIO

In this post, we’ll touch on three such case studies. After adopting Alfresco Content Services and Alfresco Governance Services running on Amazon Web Services (AWS), the insurer fully digitized its operations. Plus, all files were stored in U.S. data centers, creating obstacles for a globally dispersed user base.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services. AWS Step Functions is a fully managed service that makes it easier to coordinate the components of distributed applications and microservices using visual workflows.

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Datavail Achieves AWS Service Delivery Designation for Amazon RDS

Datavail

Datavail has reached an exciting milestone : We’ve achieved the Amazon Web Services (AWS) Service Delivery Designation for Amazon Relational Database Service (Amazon RDS). This achievement recognizes that Datavail follows best practices and has proven success delivering AWS services to end customers.

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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

AWS Machine Learning - AI

High-quality video datasets tend to be massive, requiring substantial storage capacity and efficient data management systems. FSx for Lustre enables full bidirectional synchronization with Amazon Simple Storage Service (Amazon S3) , including the synchronization of deleted files and objects.

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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning - AI

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning - AI

Confirm the AWS Regions where the model is available and quotas. Complete the knowledge base evaluation prerequisites related to AWS Identity and Access Management (IAM) creation and add permissions for an S3 bucket to access and write output data. Selected evaluator and generator models enabled in Amazon Bedrock.