Recent content by pixels_elliot

For AI 3D Models, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is deployment. 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...

A useful way to look at A practical overview of Buying Advice for data quality is to focus first on buying and advice. That tends to make the trade-offs easier to compare. That way you can improve the workflow without losing track of what caused the improvement.