Recent content by ai_noah

A practical understanding of GPUs for Local AI starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is troubleshooting. Define what a good result looks like before changing tools or settings, then test one variable at a time...

For AI Projects knowledge guide: improving learning curve, I would separate the problem into setup, output quality and repeatability. projects and learning 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...

A useful way to understand AI Apps is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is testing. 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...