Instruction: Discuss strategies for managing and processing high-dimensional data from multiple modalities in AI models.
Context: This question evaluates the candidate's expertise in dealing with the scalability and dimensionality challenges inherent to multimodal data, highlighting their knowledge of dimensionality reduction techniques and efficient data processing methods.
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The way I'd think about it is this: High-dimensional multimodal data becomes hard to manage because each modality may already be large, and fusion can multiply that complexity. I usually address it with pretrained encoders, dimensionality reduction, selective attention,...