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✍️ Building ML Teams and Platforms with Assaf Pinhasi
The MLOps Podcast
I Think the Iterate Fast Part Is Really Important for Data Scientists
A lot of times we want to dive into the nitty gritty details of the architecture of the model and everything. And in the end, if you're not testing, you're not deploying this production and actually seeing how your model is going to perform when actual users use it as the unnamed large language model told us earlier. So what we usually recommend is like, get to production as fast as possible. It can be a if else model but at least you'll cover the entire flow and then start iterating on what worksWorks.
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