Recent content by gracecor

For Reinforcement Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is security. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the...

A practical understanding of Which AI Should I Use? starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is limitations. Define what a good result looks like before changing tools or settings, then test one variable at a time...