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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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Generate and evaluate images in Amazon Bedrock with Amazon Titan Image Generator G1 v2 and Anthropic Claude 3.5 Sonnet

AWS Machine Learning - AI

The newly announced Amazon Titan Image Generator G1 v2 expands its initial version by allowing you to guide image creation using reference images, edit existing visuals, remove backgrounds, generate image variations, and securely customize the model to maintain brand style and subject consistency. Anthropic Claude 3.5 Anthropic’s Claude 3.5

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

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Deploy a serverless web application to edit images using Amazon Bedrock

AWS Machine Learning - AI

We use AWS Amplify , Amazon Cognito , Amazon API Gateway , AWS Lambda , and Amazon Bedrock with the Amazon Titan Image Generator G1 model to build an application to edit images using prompts. The architecture uses Amazon Cognito for user authentication and Amplify as the hosting environment for our frontend application.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning - AI

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. Authentication is performed against the Amazon Cognito user pool.

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Building Your First Slack Bot with Block Kit – A Step-by-Step Guide

Xebia

In this blog post a single Lambda function is used to handle both incoming commands and incoming interactivity. Slack API reaching out to AWS Lambda. Creating your Handler using an AWS Lambda Function In this example I am going to use a Node.js AWS Lambda function to host the handler. ” message. In a Node.js

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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. Shared components refer to the functionality and features shared by all tenants. Refer to Perform AI prompt-chaining with Amazon Bedrock for more details. Generative AI gateway Shared components lie in this part.