Recent content by erinspace

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

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