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

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning - AI

The computer use agent demo powered by Amazon Bedrock Agents provides the following benefits: Secure execution environment Execution of computer use tools in a sandbox environment with limited access to the AWS ecosystem and the web. For example, your agent could take screenshots, create and edit text files, and run built-in Linux commands.

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Is Kubernetes Serverless?

Linux Academy

The term “serverless” — the ability to run code without having to choose what to run it on — shares that same overall goal, which is to eliminate the need for a developer of an application to manage infrastructure, and have that taken care of by another service or component. AWS does essentially the same thing with the AWS Fargate service.

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Free Courses at Linux Academy — October 2019

Linux Academy

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Members of the Linux Academy community come together and share their insights and questions. After completing this brief course, you will be able to speak intelligently about Serverless.

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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? HPC services on AWS Compute Technically you could design and build your own HPC cluster on AWS, it will work but you will spend time on plumbing and undifferentiated heavy lifting. AWS has two services to support your HPC workload.

AWS 147
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Using Golang for your AWS Lambda Functions

Xebia

I was sparked on a XKE to do a short experiment with using Golang for my AWS Lambda Functions. But the advantage of Python is that you can actually see the source code in the AWS Console and tweak it. Dependencies In python you have the option to do inline code in AWS CloudFormation templates. This also a problem!

Lambda 130