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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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From “Secondary Storage” To Just “Storage”: A Tale of Lambdas, LZ4, and Garbage Collection

Honeycomb

When we introduced Secondary Storage two years ago, it was a deliberate compromise between economy and performance. Compared to Honeycomb’s primary NVMe storage attached to dedicated servers, secondary storage let customers keep more data for less money. Enter AWS Lambda. Today things look very different.

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Spend Smarter, Not More: A Guide to AWS Storage Cost Optimization

Xebia

Introduction With an ever-expanding digital universe, data storage has become a crucial aspect of every organization’s IT strategy. S3 Storage Undoubtedly, anyone who uses AWS will inevitably encounter S3, one of the platform’s most popular storage services. Storage Class Designed For Retrieval Change Min.

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Intelligent healthcare forms analysis with Amazon Bedrock

AWS Machine Learning - AI

Part 1: Standard forms: Data extraction and storage The following diagram highlights the key elements of a solution for data extraction and storage with standard forms. Figure 1: Architecture – Standard Form – Data Extraction & Storage. Lastly, the Lambda function stores the question list in Amazon S3.

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AWS ECS vs. AWS Lambda: Top 5 Main Differences

Dzone - DevOps

Today, most organizations prefer to host applications and services on the cloud due to ease of deployment, high security, scalability, and cheap maintenance costs over on-premise infrastructure. Currently, AWS offers over 200 cloud services, including cloud hosting, storage, machine learning, and container management.

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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning - AI

In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda. A Lambda function pulls the appropriate prompt template from the Lambda layer and formats model prompts by adding the customer input in the associated prompt template. awscli>=1.29.57

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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning - AI

API Gateway routes the request to an AWS Lambda function ( bedrock_invoke_model ) that’s responsible for logging team usage information in Amazon CloudWatch and invoking the Amazon Bedrock model. The workflow steps are as follows: An Amazon EventBridge rule triggers a Lambda function ( bedrock_cost_tracking ) daily.

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