Recent content by noahpla

I wanted to start a broader mistakes and lessons thread around Datasets. A useful angle is performance, but it also connects with beginner tips. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

A useful way to look at AI E-Commerce knowledge guide: improving common mistakes is to focus first on e-commerce and common. That tends to make the trade-offs easier to compare. It is usually easier to troubleshoot when each change is tested on its own.

When working with DeepSeek Models, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is reliability. Define what a good result looks like before changing tools or settings, then test one variable at a time so...