Recent content by cameronspace23

For Java, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is prompt design. 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 outcome. Another...

For Humanoid Robots knowledge guide: improving evaluation, I would separate the problem into setup, output quality and repeatability. humanoid and robots fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether the change...

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