The Hundred-Example Problem: How Small Datasets Still Build Smart AI
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A mid-sized logistics firm in Ohio once sat on four years of dispatch logs, a few hundred customer complaints, and not much else. Nobody on staff had trained a model before. Hiring a team for artificial intelligence advisory services felt, at first glance, like overkill for a company of that size, especially one whose warehouse software had been upgraded twice since anyone bothered to clean the old spreadsheets. Four months later, the firm had something running anyway, a small tool that flagged
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