Answer / Santosh Kumar Ravi

To build a recommendation system with Generative AI, several steps can be taken. First, a large dataset of user preferences and item characteristics is needed. Next, the data can be preprocessed and features engineered to capture important relationships between users and items. The model can then be trained using techniques such as collaborative filtering or content-based filtering. Finally, the system can be evaluated and fine-tuned based on user feedback.

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