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Related Questions
- How does self-attention work in transformer-based architectures?
- What is the significance of self-attention in improving the performance of transformer-based models?
- Can you explain the difference between self-attention and traditional recurrent neural networks (RNNs) in text generation?
- How does self-attention enable the transformer to attend to different parts of the input sequence simultaneously?
- What are some common applications of self-attention in natural language processing (NLP) tasks?
- How does self-attention impact the quality of generated text in transformer-based architectures?
- Can you provide an example of how self-attention is used in a transformer-based model for text generation?
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