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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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Daily Crunch: PSG, Battery Ventures invest $100M in open source password manager Bitwarden 

TechCrunch

The EU — those guys who ensured we ended up with cookie banners on every damn website you’ve ever visited — are back at it with a new initiative that could have some major-league unintended consequences on open source software, Kyle reports. Image Credits: Hill Street Studios (opens in a new window) / Getty Images.

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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. Such agents orchestrate interactions between models, data sources, APIs, and applications.

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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. Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account.

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Reduce conversational AI response time through inference at the edge with AWS Local Zones

AWS Machine Learning - AI

Hybrid architecture with AWS Local Zones To minimize the impact of network latency on TTFT for users regardless of their locations, a hybrid architecture can be implemented by extending AWS services from commercial Regions to edge locations closer to end users. We use Metas open source Llama 3.2-3B

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

AWS Machine Learning - AI

At Data Reply and AWS, we are committed to helping organizations embrace the transformative opportunities generative AI presents, while fostering the safe, responsible, and trustworthy development of AI systems. LangFuse , an open source tool, plays a key role in providing transparency by keeping an audit trail of model decisions.

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Use Amazon Bedrock Intelligent Prompt Routing for cost and latency benefits

AWS Machine Learning - AI

We conducted several internal tests with proprietary and public data to evaluate Amazon Bedrock Intelligent Prompt Routing metrics. Its important to pause and understand these metrics. Getting started You can get started using the AWS Management Console for Amazon Bedrock. 35% 9.98% Anthropic 0.86 56% 6.15% Meta 0.78