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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, a marketing content creation application might need to perform task types such as text generation, text summarization, sentiment analysis, and information extraction as part of producing high-quality, personalized content. An example is a virtual assistant for enterprise business operations.

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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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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

For example, a document might have complex semantic relationships in its sections or tables that require more advanced chunking techniques to accurately represent this relationship, otherwise the retrieved chunks might not address the user query. For example, if you’re using the Cohere Embeddings model, the maximum size of a chunk can be 512.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI. Amazon Lambda : to run the backend code, which encompasses the generative logic. In step 5, the lambda function triggers the Amazon Textract to parse and extract data from pdf documents.

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

AWS Machine Learning - AI

For example, if ground truth is generated by LLMs before the involvement of SMEs, SMEs will still be needed to identify which questions are fundamental to the business and then align the ground truth with business value as part of a human-in-the-loop process. For our example, we work with Anthropics Claude LLM on Amazon Bedrock.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

The emotions are used to help select a better tone to make it funnier or more nostalgic (for example). 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.