Recent content by zonelola

A useful way to understand Model Training & Fine-Tuning is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is automation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

The point about autonomous and robots is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It also gives you a cleaner baseline if you want to compare tools or settings later.

A useful way to understand ROS & ROS2 is to separate the goal, the input, the model or tool, and the way the output is evaluated. 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 tell what...