Remove Metrics Remove Open Source Remove Serverless
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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Cost optimization – This solution uses serverless technologies, making it cost-effective for the observability infrastructure. However, some components may incur additional usage-based costs.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

When customers receive incoming calls at their call centers, MaestroQA employs its proprietary transcription technology, built by enhancing open source transcription models, to transcribe the conversations. Success metrics The early results have been remarkable.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations.

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

AWS Machine Learning - AI

API Gateway is serverless and hence automatically scales with traffic. The advantage of using Application Load Balancer is that it can seamlessly route the request to virtually any managed, serverless or self-hosted component and can also scale well. It’s serverless so you don’t have to manage the infrastructure.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning - AI

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and quickly integrate and deploy them into your applications using AWS tools without having to manage the infrastructure. Ragas is an open source evaluation framework that helps evaluate FM-generated text.

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Comparing Serverless Architecture Providers: AWS, Azure, Google, IBM, and other FaaS vendors

Altexsoft

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. Where does serverless come from?

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Serverless Cloud – Why you should consider going serverless?

Trigent

serverless. Enter serverless computing. By adhering to some basic rules, services and applications can be deployed onto serverless systems. Some of the top-rated serverless solutions are AWS-Lambda and Google-Cloud-functions. Having said this, one must tread cautiously when going in for serverless architecture.