Free SISA CSPAI Exam Dumps

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Question No: 1

MultipleChoice

Fine-tuning an LLM on a single task involves adjusting model parameters to specialize in a particular domain. What is the primary challenge associated with fine tuning for a single task compared to multi task fine tuning?

Options

ASingle-task fine-tuning introduces more complexity in managing different versions of the model compared to multi-task fine-tuning.

BSingle-task fine-tuning is less effective in generalizing to new, unseen tasks compared to multi-task fine-tuning.

CSingle-task fine-tuning requires significantly more data to achieve comparable performance to multi-task fine tuning.

DSingle-task fine-tuning tends to degrade the model's performance on the original tasks it was trained on.

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