Recent content by mason3799

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

I think make and beginner is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That way you can improve the workflow without losing track of what caused the improvement.

I have been exploring Ideogram and wanted to ask people who have tried it in practice. I am particularly interested in customisation and cost control. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Which approach would you recommend...