Recent content by logansky4

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    A practical overview of Blender + AI for data quality

    A useful way to understand Blender + AI is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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...
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    A practical overview of Swift for limitations

    When working with Swift, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is limitations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...