Recent content by emilyexplores

A useful way to understand Perplexity 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 tell what...

A practical understanding of Full-Stack AI Development starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is useful tools. Define what a good result looks like before changing tools or settings, then test one variable at a...