Question 14
Which of the following describes the 'Adapter Layers' fine-tuning strategy?
Randomly freezing 50% of the attention heads in each layer during training.
Adding small dense-ReLU-dense blocks after FFN layers and updating only those and Layer Norm parameters.
Updating all parameters in the model but using a much smaller learning rate.