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Attention in vanilla Transformers
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Multi-head self-attention: multiple attention projections are computed and then concatenated into a single representation
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Masked attention: self-attention modules in the decoder are adapted to prevent each position from attending to subsequent position
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Cross-attention: in the decoder, the queries are projected from the outputs of the previous (decoder) layer, whereas the keys and values are projected using the outputs of the encoder
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A research team is building a model to summarize extremely long scientific papers. They are comparing two distinct architectural approaches:
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- Approach 2: Processes all input tokens simultaneously, using a mechanism that directly relates every token to every other token in the input to determine context.
Which of the following statements best analyzes the primary trade-off between these two approaches for this specific task?
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