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For Luma Dream Machine, it helps to think in terms of inputs, constraints, verification, and iteration. 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 tell what actually improved the...

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