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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. This request contains the user’s message and relevant metadata.

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Lumigo raises $29M for its cloud-native application monitoring platform

TechCrunch

The company started with a focus on distributed tracing for serverless platforms like AWS’ API Gateway, DynamoDB, S3 and Lambda. But as the team announced today, it is now also expanding its SaaS service to cover containers and virtual machines. Image Credits: Lumigo.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

An example is a virtual assistant for enterprise business operations. Such a virtual assistant should support users across various business functions, such as finance, legal, human resources, and operations. 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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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The solution presented in this post takes approximately 15–30 minutes to deploy and consists of the following key components: Amazon OpenSearch Service Serverless maintains three indexes : the inventory index, the compatible parts index, and the owner manuals index.

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

AWS Machine Learning - AI

Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times. 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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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. It’s serverless so you don’t have to manage the infrastructure. This implementation overcomes timeout limitations in synchronous REST requests.

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Boost productivity by using AI in cloud operational health management

AWS Machine Learning - AI

The solution is designed to be fully serverless on AWS and can be deployed as infrastructure as code (IaC) by usingf the AWS Cloud Development Kit (AWS CDK). Figure – use case example 1 The virtual event supervisor filters out noise based on your policies, as illustrated in the following figure.

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