Instruction: Discuss the considerations and strategies for scaling multimodal AI systems to handle large-scale datasets and applications.
Context: Candidates must explain their strategies for ensuring that multimodal AI systems remain efficient and effective as they scale, addressing both computational and architectural challenges.
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The way I'd approach it in an interview is this: I approach scalability by separating the problem into data throughput, training efficiency, inference cost, and storage or retrieval burden. Multimodal systems get expensive quickly because each modality adds...