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You are building a multimodal generative AI model to create personalized travel itineraries based on user preferences. The input data consists of text reviews of hotels, images of landmarks, audio clips of local music, and time-series data of weather patterns. Which of the following data curation techniques are MOST critical to ensure the quality and coherence of the final itinerary?
Correct Answer: D
All the options are critical. Sentiment analysis helps rank hotels, image captioning provides descriptions, and temporal alignment ensures activities are weather-appropriate. Ignoring any of these aspects would negatively impact the quality of the personalized itinerary.