Recent content by harrythebrain

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

On Step-by-step learning curve tutorial for Perplexity, the part about step and learning 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. That way you can improve the workflow without losing...