GENERATIVE-AI-LEADER · Question #100
GENERATIVE-AI-LEADER Question #100: Real Exam Question with Answer & Explanation
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Question
A boutique sneaker label plans to use generative AI to render concept images for upcoming footwear lines. They can choose between a compact and carefully curated set of about 15,000 images of their own past collections and a very large and mixed set of roughly 2.2 million generic footwear photos from public sources. If they prioritize the smaller curated set of their proprietary designs as the primary training data, what outcome should they expect from the resulting model?
Options
- AIs cheaper to train yet may have difficulty learning the brand specific aesthetic
- BGenerates a much broader spectrum of entirely novel styles that do not resemble the label identity
- CMore closely mirrors the brand signature style and design language even if overall variety may be
- DIs far more likely to memorize and output near replicas of training images
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