Data Quality Matters a Lot More Than Quantity

You need to be more careful about kind of which examples you give the model, because it's so smart that it can be swayed very easily by wrong data. So extra attention needs to be paid to kind of the data labelling process. And there needs to be a lot more c a. There needs to be much stronger task definitions. Everyone needs to be exactly on the same page about how to handle certain edge cases.

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