Recent content by jay_pixels

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    data quality tutorial: a practical Large Language Models workflow

    This tutorial shows a simple repeatable way to work with Large Language Models while focusing on data quality. Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start. Step 2: Prepare a small representative example. Test with...
  2. J

    How do you improve troubleshooting when working with C++?

    For How do you improve troubleshooting when working with C++?, I would separate the problem into setup, output quality and repeatability. troubleshooting and working fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether...
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    Luma Dream Machine knowledge guide: improving collaboration

    A practical understanding of Luma Dream Machine starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is collaboration. Define what a good result looks like before changing tools or settings, then test one variable at a time so...