Recent content by ivyneon

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

On Robot AI Models explained: a practical look at evaluation, the part about robot and models stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. If you share the exact setup, it would be easier to...