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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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Use Amazon Bedrock Intelligent Prompt Routing for cost and latency benefits

AWS Machine Learning - AI

In December, we announced the preview availability for Amazon Bedrock Intelligent Prompt Routing , which provides a single serverless endpoint to efficiently route requests between different foundation models within the same model family. Its important to pause and understand these metrics. 35% 9.98% Anthropic 0.86 56% 6.15% Meta 0.78

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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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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

AWS Machine Learning - AI

In this post, we explore how AWS services can be seamlessly integrated with open source tools to help establish a robust red teaming mechanism within your organization. It generates a detailed visual report with metrics and measurements of potential bias, helping organizations understand and address imbalances.

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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 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.