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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users. The AWS Command Line Interface (AWS CLI).

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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

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

AWS Machine Learning - AI

In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). You can use AWS services such as Application Load Balancer to implement this approach.

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Infrastructure as code, part 02: build Docker images and deploy to Kubernetes

CircleCI

In this series, I’ll demonstrate how to get started with infrastructure as code (IaC). My goal is to help developers build a strong understanding of this concept through tutorials and code examples. application included in this code repo. Let’s breakdown the Dockerfile contained in this project’s code repo.

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Build a custom UI for Amazon Q Business

AWS Machine Learning - AI

The workflow includes the following steps: The user accesses the chatbot application, which is hosted behind an Application Load Balancer. After the user logs in, they’re redirected to the Amazon Cognito login page for authentication. Additionally, it creates and configures those services to run the end-to-end demonstration.

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Why you must extend Zero Trust to public cloud workloads

CIO

Due to the current economic circumstances security teams operate under budget constraints. With Zscaler Workload Communications, organizations can effortlessly shift from traditional perimeter-based approaches to a zero-trust framework and establish granular control, strong authentication, and continuous monitoring. Operational costs.

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Quickly Turn ALB/ELB Status Codes into an Issue-Seeking Heatmap

Honeycomb

In this post, I’ll show you how using Honeycomb, we can quickly pinpoint the source of our status codes, so we know what’s happening and whether our team should drop everything to work on a fix. . This post will walk you through how to: Surface issues from ALB/ELB status codes. A Honeycomb API key ( create a free account ) .