Recent content by milliethewild

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    AI Workstations knowledge guide: improving evaluation

    For AI Workstations, 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...
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    Step-by-step future improvements tutorial for AI Customer Support

    For Step-by-step future improvements tutorial for AI Customer Support, I would separate the problem into setup, output quality and repeatability. step and future fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner baseline if you...
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    AI Game Design explained: a practical look at evaluation

    A useful way to understand AI Game Design is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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...