Recent content by reecelife

A useful way to understand llama.cpp is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 can tell what...

I think customisation and humanoid is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. The original point — "There are several ways to approach Humanoid Robots, so I wanted...

When working with Neural Networks, 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 so...