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2min chapter
Towards stability and robustness
Practical AI: Machine Learning, Data Science, LLM
Is Your Model Robust?
You know, drafts are a major theme in this conversation. But one approach seems to be thinking about making your model able to sort of withstand or be robust gainst perturbations. And maybe the other is concerned with making sure that your model never sees things that it shouldn't see. Soi ant within what they're doing fom the very bell first mind sat right. How im going to collect the dust? I it's going to be clean. How i'm going to train down the line? Amazing a i mases of that, and not ocollect, look at the entire organization. What that i have, what i can do with ina.
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