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Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning - AI

Amazon Bedrock has recently launched two new capabilities to address these evaluation challenges: LLM-as-a-judge (LLMaaJ) under Amazon Bedrock Evaluations and a brand new RAG evaluation tool for Amazon Bedrock Knowledge Bases.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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Marsh McLellan IT reorg lays foundation for gen AI

CIO

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

The Unsuccessful query responses and Customer feedback metrics help pinpoint gaps in the knowledge base or areas where the system struggles to provide satisfactory answers. Organizations looking to quantify financial benefits can develop their own ROI calculators tailored to their specific needs.

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

AWS Machine Learning - AI

Red teaming , an adversarial exploit simulation of a system used to identify vulnerabilities that might be exploited by a bad actor, is a crucial component of this effort. Specifically, we discuss Data Replys red teaming solution, a comprehensive blueprint to enhance AI safety and responsible AI practices. What is red teaming?

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

To address these challenges, we introduce Amazon Bedrock IDE , an integrated environment for developing and customizing generative AI applications. This approach enables sales, marketing, product, and supply chain teams to make data-driven decisions efficiently, regardless of their technical expertise. Choose Create project.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. Depth of insight Advanced analysis can identify subtle patterns and potential issues that might be missed in manual reviews, providing deeper insights into architectural strengths and weaknesses.