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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Much like traditional business process automation through technology, the agentic AI architecture is the design of AI systems designed to resolve complex problems with limited or indirect human intervention. Agent broker architecture Messages sent to EventBridge are routed through an EventBridge rule to Lambda.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Solution overview This section outlines the architecture designed for an email support system using generative AI. High Level System Design The solution consists of the following components: Email service – This component manages incoming and outgoing customer emails, serving as the primary interface for email communications.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

To answer this question, the AWS Generative AI Innovation Center recently developed an AI assistant for medical content generation. The system is built upon Amazon Bedrock and leverages LLM capabilities to generate curated medical content for disease awareness. It sends it back to the WebSocket via the Lambda function.

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Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

AWS Machine Learning - AI

Now that you understand the concepts for semantic and hierarchical chunking, in case you want to have more flexibility, you can use a Lambda function for adding custom processing logic to chunks such as metadata processing or defining your custom logic for chunking. Make sure to create the Lambda layer for the specific open source framework.

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

AWS Machine Learning - AI

During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. This innovative application of generative AI delivers tangible productivity gains and operational efficiencies to the insurance industry.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

The inference pipeline is powered by an AWS Lambda -based multi-step architecture, which maximizes cost-efficiency and elasticity by running independent image analysis steps in parallel. AWS enables us to scale the innovations our customers love most. AWS Step Functions enables the synchronization and ordering of interdependent steps.

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

AWS Machine Learning - AI

The reasons are many, but start with the progress weve made in our financial results and customer experiences, and extend to our continued innovation and the remarkable opportunities in front of us. Dear Shareholders: Last year at this time, I shared my enthusiasm and optimism for Amazons future. Today, I have even more.