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easy
Introduction
A team of engineers is debating whether to adopt a Generative AI model or a traditional discriminative ML model for their customer support system. Which capability distinction should drive this architectural decision?
A
Generative AI models are always more accurate because they train on larger datasets
B
Generative AI models can synthesize novel outputs (text, images, audio) rather than only classifying or predicting from existing categories
C
Traditional ML models cannot handle unstructured data like text, making GenAI mandatory for NLP tasks
D
Generative AI models eliminate the need for training data by using rule-based synthesis
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