Notably, gender bias refers back to the tendency of those models to produce outputs which can be unfairly prejudiced to one gender over A different. This bias typically arises from the information on which these models are trained.has exactly the same dimensions being an encoded token. That may be an "image token". Then, one can interleave text tok