Recent content by elliemetro

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

For Key things to know about ROS & ROS2 and future improvements, I would separate the problem into setup, output quality and repeatability. ros and ros2 fits into that because it can change the result quite a lot depending on the workflow. That way you can improve the workflow without losing...

For AI Startups, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...