Recent content by eva1931

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

For Device Help knowledge guide: improving performance, I would separate the problem into setup, output quality and repeatability. device and help 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 track of...

For AI APIs, it helps to think in terms of inputs, constraints, verification, and iteration. 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 actually improved the outcome. Another...