Question 18

Which statement accurately describes the difference between a pretrained generative AI model and a fine-tuned generative AI model?

• AA pretrained model requires labeled data, while a fine-tuned model does not.
• BA pretrained model is faster to train than a fine-tuned model because the pretrained model uses fewer parameters.
• CA pretrained model is trained on broad datasets, while a fine-tuned model is adapted to perform well on a narrower, domain-specific dataset. ✓
• DA pretrained model is optimized for a specific task, while a fine-tuned model is designed for general-purpose use.