A cheese-aging cave has only forty labeled rind notes next to cave photos held fixed. One trial uses a pretrained token classifier as-is; another trains a small tagger from random weights on those forty notes. Which experiment is more sensible?
Select an answer to reveal the explanation.
Short Explanation
Forty sticky notes are a thin notebook. Starting from a model that already knows language is wiser than teaching a blank tagger from scratch on that tiny pile.
Full Explanation
With scarce labels and fixed photos, a pretrained token classifier is the more sensible first experiment than training a tagger from random weights on forty notes. Transfer of NLP knowledge reduces data hunger on the text arm of the multimodal set.