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Koyeb is a serverless platform that integrates with your GitHub repository

TechCrunch

The company is still focused on serverless infrastructure. But it now offers a general purpose serverless platform that you can configure through a simple “git push” command or by using Docker containers. It has already been tested by 10,000 developers during the private beta phase.

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

AWS Machine Learning - AI

For macOS, we have tested the deployment with Colima container runtimes in replacement for Docker Desktop. The custom header value is a security token that CloudFront uses to authenticate on the load balancer. Fortunately, you can run and test your application locally before deploying it to AWS. The AWS CDK.

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

AWS Machine Learning - AI

The generative AI playground is a UI provided to tenants where they can run their one-time experiments, chat with several FMs, and manually test capabilities such as guardrails or model evaluation for exploration purposes. API Gateway is serverless and hence automatically scales with traffic. The component groups are as follows.

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Ngrok, a service to help devs deploy sites, services and apps, raises $50M

TechCrunch

An open source package that grew into a distributed platform, Ngrok aims to collapse various networking technologies into a unified layer, letting developers deliver apps the same way regardless of whether they’re deployed to the public cloud, serverless platforms, their own data center or internet of things devices.

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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

AWS Machine Learning - AI

For both types of vulnerabilities, red teaming is a useful mechanism to mitigate those challenges because it can help identify and measure inherent vulnerabilities through systematic testing, while also simulating real-world adversarial exploits to uncover potential exploitation paths. What is red teaming?

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

AWS Machine Learning - AI

When it’s complete, you can go to Google Chat and test your new business logic. You could also use Amazon Bedrock Prompt Flows to accelerate the creation, testing, and deployment of workflows through an intuitive visual builder. You can also fine-tune your choice of Amazon Bedrock model to balance accuracy and speed.

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Weekly Update 6-3-2019

Linux Academy

This week, we’re talking all about serverless computing, what it is, why it’s relevant, and the release of a free course that can be enjoyed by everyone on the Linux Academy platform, including Community Edition account members. Serverless Computing: What is it? Configure auto-scaling with load balancers.