It’s not an LLM, it’s a GAN and it’s inner workings are very different.
If that 1/6th has the most positive feedback in recognizability, for the GAN it becomes a high weighted part of the standard. These model’s categorizing flow favors unique features of images.
For statistics’ sake? Yes.
For the LLM bias? No.
It’s not an LLM, it’s a GAN and it’s inner workings are very different.
If that 1/6th has the most positive feedback in recognizability, for the GAN it becomes a high weighted part of the standard. These model’s categorizing flow favors unique features of images.