Recent content by harry_16jn

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

For A practical overview of AI Level Generation for reliability, I would separate the problem into setup, output quality and repeatability. level and generation fits into that because it can change the result quite a lot depending on the workflow. It also gives you a cleaner baseline if you want...

When working with Microsoft Copilot, 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...