Recent content by waves_oscar

When working with Gemma 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 productivity. Define what a good result looks like before changing tools or settings, then test one variable at a time so...

The point about local and help 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. It also gives you a cleaner baseline if you want to compare tools or settings later.

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