The scheduler is trained to give higher weight to those sorts of questions apparently. This begs some questions for GPTs, questions like how are they supposed to model something not implied in the training data?
The scheduler is trained to give higher weight to those sorts of questions apparently. This begs some questions for GPTs, questions like how are they supposed to model something not implied in the training data?