I have a question about AI Testing & Debugging that may be useful for other people working with it too.
I am particularly interested in deployment and cost control. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
What trade-offs have you found between quality, speed, cost, and reliability?
I am particularly interested in deployment and cost control. I would like to compare approaches that people have actually used rather than just theoretical suggestions.
What trade-offs have you found between quality, speed, cost, and reliability?