Recent content by daisy3570

A practical understanding of Large Language Models starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is advanced workflows. Define what a good result looks like before changing tools or settings, then test one variable at a...

For real-world use question: how do you handle AI Wearables?, I would separate the problem into setup, output quality and repeatability. real-world and question fits into that because it can change the result quite a lot depending on the workflow. The original point — "I have a question about AI...

When working with Industrial Robots, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is performance. Define what a good result looks like before changing tools or settings, then test one variable at a time...