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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability. Watch this video demo for a step-by-step guide.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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

AWS Machine Learning - AI

Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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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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Capsule gets $1.5M to build ‘super simple’ decentralized social media

TechCrunch

Last year , for example, Dfinity launched a proof of concept for an ‘open’ version of the professional social network, LinkedIn — which it punningly called ‘LinkedUp’ It went on to demo a TikTok clone — and to open TIC up to outside developers last summer.

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

AWS Machine Learning - AI

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

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Can’t-miss Serverless Sessions for AWS Summit Santa Clara

Stackery

Since there isn’t a dedicated serverless track, we built one for you. 2) Tell your boss and architects to grab a box lunch before the noon session and then put these two sessions on their calendars: These talks will let you understand the serverless landscape and engineer apps that work at scale. You’re not alone. Only time will tell!