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by tudelo
1779 days ago
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Are there not situations where a learned model could be insufficient due to lack of real-time learning? It is my understanding that a lot of current applications take a ton of training time / computing power and it's not so trivial to do in the moment. I guess this is less of a theoretical problem and more of a practical problem though. |
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Yeah, exactly. Theoretically, ML can do anything. Practically, not so much.