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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. For Authentication Audience , select App URL , as shown in the following screenshot.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

Using Amazon Bedrock Knowledge Base, the sample solution ingests these documents and generates embeddings, which are then stored and indexed in Amazon OpenSearch Serverless. User authentication is handled by Amazon Cognito , making sure only authenticated user have access.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Shared components refer to the functionality and features shared by all tenants. It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices.

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The Future of Serverless is … Functionless?

Stackery

I first heard about this pattern a few years ago at a ServerlessConf from a consultant who was helping a “big bank” convert to serverless. With AppSync, DynamoDB Tables, SQL Databases (via Aurora Serverless), Lambda Functions, and ElasticSearch domains have all been elevated as first-class “Data Sources” for GraphQL resolvers.

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Capsule gets $1.5M to build ‘super simple’ decentralized social media

TechCrunch

“The Internet Computer will hopefully be helping us build a ‘customized mini-blockchain’ to solve two issues with Capsule: Global authenticated timestamps for posts as well as a root of trust for user’s authentication keys for posts,” he says.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. Oleg Chugaev is a Principal Solutions Architect and Serverless evangelist with 20+ years in IT, holding multiple AWS certifications. About the Authors Steven Craig is a Sr.