Instruction: Describe how attention mechanism improves model performance and provide examples of its application.
Context: This question tests the candidate's knowledge on one of the key innovations in NLP model architecture that enables models to focus on relevant parts of the input data.
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The way I'd explain it in an interview is this: Attention is a mechanism that lets a model weigh which parts of the input matter most when producing an output. Instead of treating every token equally or relying only...