Recent content by ethanonsunset

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

The point about google and image is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That should make it easier to tell whether the change is actually helping.