Recent content by daisypilot79

A practical understanding of DIY Robotics starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is data quality. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

For future improvements question: how do you handle Large Language Models?, I would separate the problem into setup, output quality and repeatability. future and improvements fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to...

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