A rec-center swim desk has a GPU that overheats when every layer is updated on forty labeled shift notes. Which associate transfer-learning knob should the script use?
Select an answer to reveal the explanation.
Short Explanation
Forty labeled shift notes will overheat the desk GPU if every layer gets a gradient. Freeze the pretrained backbone and train only the task head. That is the associate transfer knob. LoRA math and NCCL homework wait for other rooms.
Full Explanation
Freezing the pretrained backbone and training only the head is the associate way to save data and compute on a tiny labeled set. Updating every layer on forty notes is what overheats the desk GPU and overfits. LoRA and QLoRA math belong to a later PEFT domain. Tensor-parallel NCCL work is Professional parallelism, not this freeze-the-backbone knob.