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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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EBSCOlearning scales assessment generation for their online learning content with generative AI

AWS Machine Learning - AI

In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. Sonnet model in Amazon Bedrock. Sonnet in Amazon Bedrock.

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Camelot Secure’s AI wizard eases path to cybersecurity compliance

CIO

Like many innovative companies, Camelot looked to artificial intelligence for a solution. The result is Myrddin, an AI-based cyber wizard that provides answers and guidance to IT teams undergoing CMMC assessments. To address compliance fatigue, Camelot began work on its AI wizard in 2023.

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AI Pact: Simplifying EU AI Act compliance for enterprises

CIO

While most provisions of the EU AI Act come into effect at the end of a two-year transition period ending in August 2026, some of them enter force as early as February 2, 2025. On this basis we chose to join the AI Pact, which gives guidelines and helps understand the rules of law.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives. For more information, refer to the following GitHub repo , which contains sample code. and Metas Llama 3.1

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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

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface.

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Guidelines not policies: The University of Texas at San Antonio’s approach to gen AI

CIO

Framing the guardrails According to Ketchum, they were very deliberate about not developing restrictive policies around the use of AI. Rather, they put together AI adoption guidelines in consultation with experts and analysts from IDC and Gartner, as well as their legal and cybersecurity team. “We