As developers, we need to identify at least (2) lightweight pretrained models to fine-tune with our use-case specific dataset. This will allow use to leverage pretraining for model generalization and will expedite the training process to ensure timely completion of the project.
I have downloaded the IOT dataset and will bring the USB drives to class. it's 16gb :) I have also gathered the Windows event logs dataset, which is 35Gigs and I will also bring to class.
As developers, we need to identify at least (2) lightweight pretrained models to fine-tune with our use-case specific dataset. This will allow use to leverage pretraining for model generalization and will expedite the training process to ensure timely completion of the project.