It’s an interesting proposition! But I’m not sure a generative adversarial network would be the best wrench for that nut.*
However, i could imagine using an adversarial training approach to build a super AI discriminator that generates difficult few-shot NLP tasks for assessing GPT performance against different domains and datasets, by trying to fool it into classifying the output as humanoid.
* I really don’t know what I’m talking about. As an application security engineer w/ a background in cognitive and computer science, I’ve seriously considered going back to grad school yet again to research the different systems and models used in AI development and what the threats and defenses might be. I’m not an academic at heart but this science is so tight!
However, i could imagine using an adversarial training approach to build a super AI discriminator that generates difficult few-shot NLP tasks for assessing GPT performance against different domains and datasets, by trying to fool it into classifying the output as humanoid.
* I really don’t know what I’m talking about. As an application security engineer w/ a background in cognitive and computer science, I’ve seriously considered going back to grad school yet again to research the different systems and models used in AI development and what the threats and defenses might be. I’m not an academic at heart but this science is so tight!