Instruction: Describe the differences between early and late fusion strategies and when each is preferable.
Context: The candidate should clarify their understanding of fusion techniques in multimodal AI, providing insights into how these strategies affect model performance in various scenarios.
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The way I'd explain it in an interview is this: Early fusion combines modalities near the input or feature level, which can help the model learn direct cross-modal interactions when alignment is strong. Late fusion combines modality-specific predictions or higher-level...