Recent content by laylacoffee

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

On future improvements tutorial: a practical Local AI Help workflow, the part about step and future stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. The original point — "This tutorial shows a...

I have a question about AI Smart Glasses that may be useful for other people working with it too. I am particularly interested in future improvements and collaboration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked...