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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. Before migrating any of the provided solutions to production, we recommend following the AWS Well-Architected Framework.

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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? HPC services on AWS Compute Technically you could design and build your own HPC cluster on AWS, it will work but you will spend time on plumbing and undifferentiated heavy lifting. AWS has two services to support your HPC workload.

AWS 147
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

All the major cloud providers from North America AWS, Google, Microsoft Azure, Oracle Cloud are on par with each other, with most of their services and capabilities are primed to address the needs of any enterprise. The AWS Cloud Adoption Framework (CAF) is an effective tool that helps to evaluate cloud readiness.

Cloud 147
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The road to Software 2.0

O'Reilly Media - Data

We’re seeing continued adoption of tools like AWS’ Sagemaker and Google’s AutoML. At O’Reilly’s AI Conference in Beijing, Tim Kraska of MIT discussed how machine learning models have out-performed standard, well-known algorithms for database optimization, disk storage optimization, basic data structures, and even process scheduling.

Software 338
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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. Deploy the AWS CDK project to provision the required resources in your AWS account.

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning - AI

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation , enabling organizations to quickly and effortlessly set up a powerful RAG system. On the AWS CloudFormation console, create a new stack. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

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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.