Recent content by danielthelab

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

For Beginner tutorial: using data quality for AI Workstations, I would separate the problem into setup, output quality and repeatability. step and quality fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether the change...