Instruction: Discuss the architectural differences and the impact on performance in sequence modeling tasks.
Context: This question evaluates the candidate's understanding of advanced NLP model architectures and their suitability for different types of NLP tasks.
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The way I'd approach it in an interview is this: RNNs process sequences step by step, carrying hidden state forward through time. Transformers instead use attention to model relationships across tokens more directly and can...