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

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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Securing S3 Downloads with ALB and Cognito Authentication

Xebia

This would allow your users to download the file using their browsers simply. But what if you want to control who can download the file? AWS has a service called Cognito that allows you to manage a pool of users. I am using an Application Load Balancer to invoke a Lambda function. The latter is authorization.

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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

Notable runtime parameters influencing your model deployment include: HF_MODEL_ID : This parameter specifies the identifier of the model to load, which can be a model ID from the Hugging Face Hub (e.g., Model Base Model Download DeepSeek-R1-Distill-Qwen-1.5B Model Base Model Download DeepSeek-R1-Distill-Qwen-1.5B

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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

AWS Machine Learning - AI

We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace. Additionally, you can securely integrate and easily deploy your generative AI applications using the AWS tools you are already familiar with.

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Deploy Django apps to AWS Elastic Beanstalk

CircleCI

This tutorial covers: Setting up a Django application on AWS. In this article, I will guide you through deploying a Django application to AWS Elastic Beanstalk. We will use the CircleCI AWS Elastic Beanstalk orb to handle authentication and deployment. AWS account. AWS Elastic Beanstalk CLI installed on your computer.

AWS 98
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Getting started with Kubernetes: how to set up your first cluster

CircleCI

Terraform is similar to configuration tools provided by cloud platforms such as AWS CloudFormation or Azure Resource Manager , but it has the advantage of being provider-agnostic. If you’re not familiar with Terraform, we recommend that you first go through their getting started with AWS guide to learn the most important concepts.

AWS 93
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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

In this post, we demonstrate a solution using Amazon FSx for NetApp ONTAP with Amazon Bedrock to provide a RAG experience for your generative AI applications on AWS by bringing company-specific, unstructured user file data to Amazon Bedrock in a straightforward, fast, and secure way. Install the AWS Command Line Interface (AWS CLI).