Remove Applications Remove Authentication Remove Load Balancer
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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. For more information on how to manage model access, see Access Amazon Bedrock foundation models.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

The workflow includes the following steps: The process begins when a user sends a message through Google Chat, either in a direct message or in a chat space where the application is installed. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message.

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Securing S3 Downloads with ALB and Cognito Authentication

Xebia

For this, you will need authentication and authorization. Authentication vs Authorization Authentication is all about identifying who you are. I am using an Application Load Balancer to invoke a Lambda function. In this case, we can use the native Cognito integration of the application load balancer.

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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning - AI

Before running the following commands, make sure you authenticate towards AWS : export AWS_REGION=us-east-1 export CLUSTER_NAME=my-cluster export EKS_VERSION=1.30 Before running the following commands, make sure you authenticate towards AWS : export AWS_REGION=us-east-1 export CLUSTER_NAME=my-cluster export EKS_VERSION=1.30

AWS 103
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. Generative AI components provide functionalities needed to build a generative AI application. Each tenant has different requirements and needs and their own application stack.

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How to Use Application Load Balancer and Amazon Cognito to Authenticate Users for Your Kubernetes Web Apps

DevOps.com

This post describes how to use Amazon Cognito to authenticate users for web apps running in an Amazon Elastic Kubernetes Services (Amazon EKS) cluster.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.