Recent content by owen2553

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 real-world use. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...

For AI Agents explained: a practical look at testing, I would separate the problem into setup, output quality and repeatability. agents and testing 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 to compare...

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