Instruction: Explain how data normalization affects the integration and performance of multimodal AI systems.
Context: Candidates should demonstrate their understanding of preprocessing methods, specifically data normalization, and its significance in harmonizing modalities for optimal model performance.
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The way I'd explain it in an interview is this: Normalization matters because modalities often come in very different scales, distributions, and feature spaces. If those differences are left unmanaged, the model can overemphasize one modality or learn unstable...