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Building a virtual meteorologist using Amazon Bedrock Agents

AWS Machine Learning - AI

Additionally, we use various AWS services, including AWS Amplify for hosting the front end, AWS Lambda functions for handling request logic, Amazon Cognito for user authentication, and AWS Identity and Access Management (IAM) for controlling access to the agent. Use the.zip file to manually deploy the application in Amplify.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning - AI

The service users permissions are authenticated using IAM Identity Center, an AWS solution that connects workforce users to AWS managed applications like Amazon Q Business. It enables end-user authentication and streamlines access management. The Process Data Lambda function redacts sensitive data through Amazon Comprehend.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

Workshops, conferences, and training sessions serve as platforms for collaboration and knowledge sharing, where the attendees can understand the information being conveyed in real-time and in their preferred language. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

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

AWS Machine Learning - AI

The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. The Step Functions workflow invokes a Lambda function to generate a status report. API Gateway uses an Amazon Cognito authorizer to authenticate requests. The Step Functions workflow runs the following steps for each image: 5.1

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Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock

AWS Machine Learning - AI

Event-driven compute with AWS Lambda is a good fit for compute-intensive, on-demand tasks such as document embedding and flexible large language model (LLM) orchestration, and Amazon API Gateway provides an API interface that allows for pluggable frontends and event-driven invocation of the LLMs.

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Serverless Summer School Cliff’s Notes — AWS Serverless Products, Explained

Stackery

Week One: Local Development and Debugging Workshop. AM, Chase, and Eric kicked off the first week of SSS by sharing the basics of getting started with a tutorial on locally debugging AWS Lambda functions and other serverless resources with Stackery. AWS Lambda: Amazon’s version of serverless functions.

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Serverless Summer School: Class is in session!

Stackery

Here’s what you can look forward to: Wild Rydes Workshop, parts I & II. This two-part AWS workshop will kick off the series. This workshop will also cover common topics for building serverless applications like secrets management and user authentication, authorization, and management. Intro to SES with Stackery.