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Related Questions
- How do transformer-based models handle parallelization and scalability compared to RNN-based models?
- What are the key differences in terms of computational complexity and training time between transformer-based and RNN-based models?
- Can you explain the impact of attention mechanisms on the performance of large language models?
- How do transformer-based models handle out-of-vocabulary words and rare words compared to RNN-based models?
- What are the advantages of using self-attention in transformer-based models for capturing long-range dependencies in text data?
- How do transformer-based models compare to RNN-based models in terms of ability to handle variable-length input sequences?
- What are the implications of using transformer-based models for tasks that require sequential data processing, such as machine translation and text summarization?
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