Recent content by builderisla

I am trying to improve my approach to Datasets and could use some practical advice. I am particularly interested in troubleshooting and limitations. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have you found...

I think workflows and way 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 should make it easier to tell whether the change is actually helping.

A useful way to understand AI Red Teaming is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is automation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...