information across different tasks or across different examples in your meta test set and with this you can actually transmit a fair amount of information through those about statistics and there are also more recent approaches that try to learn lost functions that can effectively transmit information across unlabeled examples another common theme in regard to mammal and a few questions here is well what are the relative benefits of simply doing pre training followed by fine-tuning versus doing a mammal and also can mammal itself be used as just a