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For Computer Vision, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is data quality. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...

A useful way to understand AI Advertising is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is integration. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...