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I am trying to improve my approach to GPUs for Local AI and could use some practical advice. I am particularly interested in advanced workflows and data quality. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What would you tell...

For AI Testing & Debugging, 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...