Quick Start

Training language models and AI algorithms requires a powerful infrastructure that is difficult to create manually. Although Kubeflow promises a remedy, it is itself a complex monster … unless you are familiar with the right approach that lets you get it up and running fairly quickly.

Martin Loschwitz

Artificial intelligence (AI) and machine learning have been on everyone’s lips for some time now. The more accessible the technology becomes, the more developers will realize they need to develop algorithms that pervade the everyday lives of the masses and make life easier. However, interested developers initially face a challenge that has nothing to do with AI and language models: providing the technical infrastructure. Kubeflow [1] is an open source machine learning platform that promises to offer all the tools you need for AI development, which means the components number well over 70, and they need to be rolled out and operated with the right configurations and in a correct and coordinated sequence. The enormity of this undertaking explains why more than a few developers feel they have been taken…

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ADMIN Network & Security (Digital) - 1 Issue, January/February 2025

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