Recent content by luke58

A useful way to understand AI Productivity is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...

For A practical overview of 3D Showcase for troubleshooting, I would separate the problem into setup, output quality and repeatability. showcase and way fits into that because it can change the result quite a lot depending on the workflow. If you share the exact setup, it would be easier to...

For Computer Vision, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is security. 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...