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Related Questions
- What are the key differences between transformer-based models and traditional neural networks in NLP tasks?
- How does the pre-training of transformer-based models on large datasets impact their performance on specific NLP tasks?
- Can transformer-based models be used for both sequence-to-sequence and classification NLP tasks with minimal modifications?
- What are the benefits of using pre-trained transformer-based models for NLP tasks compared to training models from scratch?
- How does the layer normalization technique in transformer-based models contribute to their performance on NLP tasks?
- Can transformer-based models handle out-of-vocabulary words and unknown tokens in NLP tasks?
- What are the limitations of fine-tuning pre-trained transformer-based models for specific NLP tasks without significant changes to the architecture?
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