Recent content by hollywild

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    Swift explained: a practical look at useful tools

    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 useful tools. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...
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    A practical overview of AI Smart Glasses for future improvements

    I think smart and glasses is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. It also gives you a cleaner baseline if you want to compare tools or settings later.
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    Key things to know about LM Studio and deployment

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