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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Through advanced data analytics, software, scientific research, and deep industry knowledge, Verisk helps build global resilience across individuals, communities, and businesses. Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval. There are three user inputs to the step function: A custom name for the ground truth dataset The input Amazon S3 prefix for the source data The percentage to sample for review.

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Why GreenOps will succeed where FinOps is failing

CIO

Driving optimization and efficiency using FinOps fails not due to insufficient tools, processes or controls, but because it does not motivate architects and engineers to embrace the necessary work. A more compelling driver like addressing climate change is needed. Long-term value creation.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, consider a text summarization AI assistant intended for academic research and literature review. Software-as-a-service (SaaS) applications with tenant tiering SaaS applications are often architected to provide different pricing and experiences to a spectrum of customer profiles, referred to as tiers.

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What is SDLC (Software Development Life Cycle)?

Openxcell

Software Development Life Cycle – Overview. SDLC stands for Software Development Life Cycle. System engineers and developers use them to plan for, design, build, test, and deliver information systems. Software Development Life Cycle is slightly complicated but very substantial.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning - AI

Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. The process of customers signing up and the solution creating personalized websites using human-curated assets and guidelines.

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Create a generative AI-based application builder assistant using Amazon Bedrock Agents

AWS Machine Learning - AI

In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Solution overview Typically, a three-tier software application has a UI interface tier, a middle tier (the backend) for business APIs, and a database tier. Explain the following code in lucid, natural language to me.