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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The architecture seamlessly integrates multiple AWS services with Amazon Bedrock, allowing for efficient data extraction and comparison. The following diagram illustrates the solution architecture. The text summarization Lambda function is invoked by this new queue containing the extracted text.

Education 112
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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

This architecture workflow includes the following steps: A user submits a question through a web or mobile application. For detailed implementation guidelines and examples of Intelligent Prompt Routing on Amazon Bedrock, see Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching. 70B and 8B.

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Building Resilient Public Networking on AWS: Part 4

Xebia

Architecture Overview The accompanying diagram visually represents our infrastructure’s architecture, highlighting the relationships between key components. We will also see how this new method can overcome most of the disadvantages we identified with the previous approach. Without further ado, let’s get into the business!

AWS 130
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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern? Lets create an architecture that uses Amazon Bedrock Agents with a custom action group to call your internal API.

AWS 119
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Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration

AWS Machine Learning - AI

This architecture demonstrates the significant advantages of deploying multiple specialized agents, each designed to handle distinct aspects of complex tasks such as financial analysis. Furthermore, the systems modular architecture facilitates seamless maintenance, updates, and scalability.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

Text processing and contextualization The transcribed text is then fed into an LLM trained on various healthcare datasets, including medical literature, clinical guidelines, and deidentified patient records. They provide feedback, make necessary modifications, and enforce compliance with relevant guidelines and best practices.

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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning - AI

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. This will help accelerate deployments, reduce errors, and ensure adherence to security guidelines.