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✍️ Building ML Teams and Platforms with Assaf Pinhasi
The MLOps Podcast
Machine Learning and Production at Scale
The act of putting models in production is starting to take some sort of a form factor right so it's starting to become a better understood practice that you can really kind of create direct energies between what people are writing on about on the Internet and do it. This is when your problems go or the challenges are what I think smart smart person than me coined the term reasonable scale. When there are certain conditions in which in which when the requirements are not especially challenging and we can go through what what dimensions of requirements can be charging. So for example, let's first look at the stuff that's you know that that's family of use cases that are starting to take form and be a bit less context
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