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Related Questions
- What are the key components of a transformer-based model, and how do they enable parallelization of the model?
- How does the encoder in a transformer-based model work, and what is its role in processing input sequences?
- What are the main differences between the encoder and decoder in a transformer-based model?
- How do transformer-based models handle output sequence generation, and what is the role of the decoder in this process?
- What are the advantages of using a transformer-based model over a traditional RNN, and how does this impact model performance?
- How do the self-attention mechanisms in transformer-based models enable the model to focus on specific parts of the input sequence?
- What is the impact of the positional encoding in transformer-based models on the model's ability to handle sequential data?
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