Recent content by freddietheneon

When working with ROS & ROS2, 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 so you...

I think performance and llama 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. That should make it easier to tell whether the change is actually helping.

A useful way to understand AI Automation is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is common mistakes. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...