Recent content by connorgee

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

A useful way to look at A practical overview of llama.cpp for advanced workflows is to focus first on llama.cpp and way. That tends to make the trade-offs easier to compare. It also gives you a cleaner baseline if you want to compare tools or settings later.

When working with Robot AI Models, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is setup choices. Define what a good result looks like before changing tools or settings, then test one variable at a time...