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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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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

Solution overview: patient reporting and analysis in clinical trials Key AWS services used in this solution include Amazon Simple Storage Service (Amazon S3), AWS HealthScribe , Amazon Transcribe , and Amazon Bedrock. An AWS account. If you dont have one, you can register for a new AWS account. Choose Test. Choose Test.

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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

By using AWS services, our architecture provides real-time visibility into LLM behavior and enables teams to quickly identify and address any issues or anomalies. In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Amazon Web Services (AWS) Overview. A subsidiary of Amazon, AWS was launched in 2006 and offers on-demand cloud computing services on a metered, pay-as-you-go basis. Greater Security.

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AWS Lambda: The Honcho of the Serverless World

RapidValue

One such service is their serverless computing service , AWS Lambda. For the uninitiated, Lambda is an event-driven serverless computing platform that lets you run code without managing or provisioning servers and involves zero administration. How does AWS Lambda Work. Why use AWS Lambda? You may ask.

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Save on Your AWS Bill: Tips to Optimize Your Cloud Costs

Mentormate

As specified in the AWS Well-Architected framework , there are five distinct pillars in this regard: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. AWS Tagging Strategy. A recommended first step in optimizing cost is making use of AWS Tags. AWS Cost Explorer. AWS Budgets.

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The Present and Future of Arm and AWS Graviton at Honeycomb

Honeycomb

As many of you may have read, Amazon has released C7g instances powered by the highly anticipated AWS Graviton3 Processors. Based on the success we had with this experiment (don’t worry, we discuss it below) we can only expect great things to come out of the new AWS Graviton3 Processors. Reservations[]|.Instances[]'

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