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💬 MLOps for NLP Systems with Charlene Chambliss
The MLOps Podcast
Unitesting for Data and Models
There are ways of kind of monitoring whether your model has drifted too much from, like, the last version to the new version. You can analyze the distribution of classes of your model's predictions. Unitesting for data and models is a great idea - it's almost effortless to do but could save you so much grief. And then i was going to ask about miteration cycles. So i'll just start again. Aodsit nois. Well, do the last part again. E, am, so yab, i prefer not to think about the for the future. I try to avoid the a robo take over stuff,. But i guess we'd be in a very
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