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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

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KubeCon NA 2022 Summary: Maintainers, Open Standards, and the Rumoured Demise of DevOps

Daniel Bryant

It was amazing to connect with so many folks again, and have great conversations with friends, old and new. It was amazing to connect with so many folks again, and have great conversations with friends, old and new. and Alice and Flynn also delivered a great Emissary-ingress maintainers session. You all rock!

DevOps 52
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Moving from Red AI to Green AI, Part 2: A Practitioner’s Guide to Efficient Machine Learning

DataRobot

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We also talked about the increased interest in green AI, in which we not only measure the quality of a model based on accuracy but also how big and complex it is.

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Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs

DataRobot

This has improved our lives in ways we couldn’t imagine just a few years ago, but we’re far from the end of this AI revolution. This increase in accuracy is important to make AI applications good enough for production , but there has been an explosion in the size of these models.

Hardware 145