What are your thoughts on prompt tuning as a mechanism for discovering optimal simulation strategies?
I know you mention condition generation as something to touch on in future posts but I’d be eager to hear about where you think prompt tuning comes in considering continuous prompts are differentiable and so can be learned/optimized for specific simulation behaviour.
What are your thoughts on prompt tuning as a mechanism for discovering optimal simulation strategies?
I know you mention condition generation as something to touch on in future posts but I’d be eager to hear about where you think prompt tuning comes in considering continuous prompts are differentiable and so can be learned/optimized for specific simulation behaviour.