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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. The code runs in a Lambda function. Implement your business logic in this file.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

AWS Cloud Development Kit (AWS CDK) Delivers AWS CDK knowledge with tools for implementing best practices, security configurations with cdk-nag , Powertools for AWS Lambda integration, and specialized constructs for generative AI services. It makes sure infrastructure as code (IaC) follows AWS Well-Architected principles from the start.

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Use Golang for Data Processing With Amazon Kinesis and AWS Lambda

Dzone - DevOps

This blog post is for folks interested in learning how to use Golang and AWS Lambda to build a serverless solution. You will be using the aws-lambda-go library along with the AWS Go SDK v2 for an application that will process records from an Amazon Kinesis data stream and store them in a DynamoDB table. But that's not all!

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Implementing the agent broker pattern The following diagram demonstrates how Amazon EventBridge and Lambda act as a central message broker, with the Amazon Bedrock Converse API to let a model use a tool in a conversation to dynamically route messages to appropriate AI agents.

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Use EventBridge to handle API requests

Xebia

Because you do not need to invoke a Lambda function to handle the request. The response to the user is faster and you do not need to pay for the Lambda invocation. For example, the serverless-coffee project used IOT Core. With IOT Core you can notify the end-user with status updates.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

Solution overview This solution introduces a conversational AI assistant tailored for IoT device management and operations when using Anthropic’s Claude v2.1 For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function. on Amazon Bedrock. Anthropic Claude v2.1