Advice from a retired sysadmin saved my AI training setup

He told me last month to stop chasing the latest model and just clean my dataset first, said garbage in means garbage out. Spent 2 days scrubbing duplicates and bad labels on a 12GB set, my accuracy jumped from 71% to 89%. Anyone else see bigger gains from data cleanup than from swapping architectures?

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