🤹♀️ Building models that actually perform with Kyle Gallatin
The MLOps Podcast
00:00
Machine Learning Infrestructure
The later in the process that you do it, the more difficult it's going to be. Test early, test often and cut your model back down to a state where it's reasonable to serve n iproduction. I think machine learning is becoming like all other things in machine learning rising to the level of sopher engineering," he says.
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