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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. The following diagram provides a simplified view of the solution architecture and highlights the key elements. Invokes the Amazon Bedrock InvokeModel API action.

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Announcing GA of DataFlow Functions

Cloudera

DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. Now, they can use DataFlow’s no-code UI to be more productive – they can quickly design new NiFi flows and then run them as functions in AWS Lambda, Azure Functions, and Google Cloud Functions. DataFlow Functions.

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5 Questions to Ask Before Going Serverless

Modus Create

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Serverless architecture’s popularity has risen over the past 5 years. So here are five questions you should ask before adopting the serverless architecture: 1. Was serverless really cloud 2.0

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NiFi as a Function in DataFlow Service

Cloudera

NiFi as a Function in DataFlow Service provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc).

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CASE STUDY: Moving at the Speed of Cryptocurrency with Infrastructure as Code

Blue Sentry

You can also build automation using Lambda Functions with custom triggers like AutoScaling Lifecycle Hooks, have a Load Balancer in front of your servers to balance the traffic as well as have DNS management in Route53. In AWS, you can use Auto Scaling Groups to scale in and out your servers based on a template.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing. Amazon API Gateway passes the request to AWS Lambda through a proxy integration.

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The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype

AWS Machine Learning - AI

We formulated a Retrieval-Augmented-Generation (RAG) solution that would allow the PGA TOUR to create a prototype for a future fan engagement platform that could make its data accessible to fans in an interactive fashion in a conversational format. The following figure illustrates this architecture.