4 ms·
> You can easily plug this classifier into the end of a generative network trying to fool it, and even backpropagate all the way from the yes/no output to the i
by tessierashpool 3y ago
> You can easily plug this classifier into the end of a generative network trying to fool it, and even backpropagate all the way from the yes/no output to the input layer of the generative network. Now you can easily generate text that fools that classifier
could you contextualize your use of the word "easily" here?
I feel like "easily" might mean "with infinite funds and frictionless spherical developers."
- alexeldeib 3y agoGANs are established engineering. Infinite funds and frictionless spheres aside, you don't need to break ground, but copy/paste/glue existing code with some comprehension. LLMs are newer than GANs afaik, it just so happens GANs are a good fit here, not that one is "smarter" or "dumber".