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Related Questions
- What are some effective pre-training strategies for BERT and RoBERTa to capture nuances of real-world language?
- Can you discuss the impact of fine-tuning on the performance of BERT and RoBERTa in understanding everyday experiences?
- How can BERT and RoBERTa be adapted to handle out-of-vocabulary words and domain-specific terminology?
- What are some common pitfalls to avoid when fine-tuning BERT and RoBERTa for real-world applications?
- Can you explain the role of masked language modeling in improving the ability of BERT and RoBERTa to understand real-world scenarios?
- How can BERT and RoBERTa be fine-tuned to capture the complexities of human communication, such as idioms, sarcasm, and figurative language?
- What are some best practices for evaluating the performance of BERT and RoBERTa in real-world scenarios?
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