Remove Architecture Remove Engineering Remove Lambda
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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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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. The architecture of this system is illustrated in the following figure. These embeddings are then saved as a reference index inside an in-memory FAISS vector store, which is deployed as a Lambda layer.

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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.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning - AI

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. To handle large volumes, the data is split into smaller chunks to mitigate Lambda function overload.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.