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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. We then explore strategies for implementing effective multi-LLM routing in these applications, discussing the key factors that influence the selection and implementation of such strategies.

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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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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

In Step 2: Configure data source , select Advanced (customization) under the Chunking & parsing configurations and then select Semantic chunking from the Chunking strategy drop down list, as shown in the following image. In the next section, we discuss custom processing using Lambda function provided by Knowledge bases for Amazon Bedrock.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

In this post, we explore how LLMs can be used to design marketing content for disease awareness. Marketing content is a key component in the communication strategy of HCLS companies. The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI.

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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. Splitting document pages Verisk tested multiple strategies for document splitting.

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AWS empowers sales teams using generative AI solution built on Amazon Bedrock

AWS Machine Learning - AI

Organization overview – Analysis of external organization and industry news along with citations to sources, providing account teams with timely discussion topics and positioning strategies. Recommendations include citations to source materials, empowering account teams to more effectively drive customer strategies.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., The key to event-first systems design is understanding that a series of events captures behavior.