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

For GPUs, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is evaluation. 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. Another area...