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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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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. The code runs in a Lambda function. Implement your business logic in this file.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning - AI

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority. However, there are considerations to keep in mind.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Conversely, asynchronous event-driven systems offer greater flexibility and scalability through their distributed nature. While this approach may introduce more complexity in tracking and debugging workflows, it excels in scenarios requiring high scalability, fault tolerance, and adaptive behavior.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The collaboration between BQA and AWS was facilitated through the Cloud Innovation Center (CIC) program, a joint initiative by AWS, Tamkeen , and leading universities in Bahrain, including Bahrain Polytechnic and University of Bahrain. The text summarization Lambda function is invoked by this new queue containing the extracted text.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

This AI-driven approach is particularly valuable in cloud development, where developers need to orchestrate multiple services while maintaining security, scalability, and cost-efficiency. He works with AWS customers to bring their innovative ideas to life. Justin Lewis leads the Emerging Technology Accelerator at AWS.

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