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Machine Learning Plus Ops Versus Experiment Tracking
I think that the part of the confusion is like just like everything else like labeling and naming. Like machine learning plus ops. And what that ends up being is experiment tracking, right? Which actually is something that also is not new because people have been doing this in high performance computing for decades and decades. There's still some huge hurdles to get over in terms of like this model being called from within a software application with real users on the other end. So in my mind, that sort of distinction is really confusing for people.