Recent content by anna_2hhd

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    ChatGPT explained: a practical look at evaluation

    For ChatGPT, 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...
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    How do you improve reliability when working with AI APIs?

    For How do you improve reliability when working with AI APIs?, I would separate the problem into setup, output quality and repeatability. reliability and apis fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot when each...
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    Understanding AI Character Animation: performance and learning curve

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