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@utkarshjp7 thanks for the nice blog and code. May I ask a question of the task definition?
I understand that after the meta-training, for a given new task, we aim at enabling the model to converge quickly with a few examples provided only.
But during the meta-training step where we have a set of tasks T, are we assuming that the training data of each task here should be also scarce, or abundant?
The text was updated successfully, but these errors were encountered:
@utkarshjp7 thanks for the nice blog and code. May I ask a question of the task definition?
I understand that after the meta-training, for a given new task, we aim at enabling the model to converge quickly with a few examples provided only.
But during the meta-training step where we have a set of tasks T, are we assuming that the training data of each task here should be also scarce, or abundant?
The text was updated successfully, but these errors were encountered: