Multimodal Recommender With LLMs

HardGenerative AI & LLMs00:00

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Your question is Multimodal Recommender With LLMs. Take a moment with it on the right.

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Problem

Explain how you would build a recommender system using a multimodal LLM and computer vision.

Discuss the end-to-end design, including visual and text representation, candidate retrieval, multimodal ranking, personalization, feedback loops, and serving architecture. Explain how you would evaluate recommendation quality, hallucination, latency, cost, fairness, and robustness to adversarial or unsafe image and text inputs. State when you would use prompting, retrieval, fine-tuning, or a conventional ranking model instead of relying on the LLM directly.