Another way to describe the same (or similar) plateau: we could think about GPT-n as GLUT with approximation between prerecorded answers: it can produce intelligent products similar to the ones which were created by humans in the past and are presented in its training dataset – but not above the human intelligence level, as there is no superintelligent examples in the dataset.
Another way to describe the same (or similar) plateau: we could think about GPT-n as GLUT with approximation between prerecorded answers: it can produce intelligent products similar to the ones which were created by humans in the past and are presented in its training dataset – but not above the human intelligence level, as there is no superintelligent examples in the dataset.