Recent content by max6068

For Medical Robots, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is learning curve. 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 outcome...

The point about chatgpt and image 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 No-Code AI Automation is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is useful tools. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...