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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

An example is a virtual assistant for enterprise business operations. Such a virtual assistant should support users across various business functions, such as finance, legal, human resources, and operations. Before migrating any of the provided solutions to production, we recommend following the AWS Well-Architected Framework.

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PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

AWS Machine Learning - AI

To simplify infrastructure setup and accelerate distributed training, AWS introduced Amazon SageMaker HyperPod in late 2023. In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. Its mounted at /fsx on the head and compute nodes.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator.

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Nutanix CEO sees multi-year opportunity after Broadcom’s VMware acquisition

CIO

Historically, data center virtualization pioneer VMware was seen as a technology leader, but recent business changes have stirred consternation since its acquisition by Broadcom in late 2023. The Register later noted “ whispers about a breakup with AWS ,” despite Broadcom addressing the issue in a blog post.

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Wasabi scores $112M Series C on $700M valuation to take on cloud storage hyperscalers

TechCrunch

Taking on Amazon S3 in the cloud storage game would seem to be a fool-hearty proposition, but Wasabi has found a way to build storage cheaply and pass the savings onto customers. With a $50B run rate in reach, can anyone stop AWS? Wasabi storage starts at $5.99 Wasabi just landed $68 million to upend cloud storage.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning - AI

The storage layer uses Amazon Simple Storage Service (Amazon S3) to hold the invoices that business users upload. Prerequisites To perform this solution, complete the following: Create and activate an AWS account. Make sure your AWS credentials are configured correctly. Install Python 3.7 or later on your local machine.