Recent content by ninagee

For AI Workstations, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is real-world use. 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...

For AI for Facebook knowledge guide: improving testing, I would separate the problem into setup, output quality and repeatability. facebook and testing fits into that because it can change the result quite a lot depending on the workflow. That way you can improve the workflow without losing...

For Python, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is creative uses. 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. Another...