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Related Questions
- What are the primary advantages of using pre-trained language models in NLP tasks?
- How does fine-tuning pre-trained language models on OOV words and phrases improve their performance?
- What are the potential drawbacks of relying solely on pre-trained language models without fine-tuning?
- Can you explain the concept of 'catastrophic forgetting' in the context of fine-tuning pre-trained models?
- How does the size of the pre-trained model impact the effectiveness of fine-tuning on OOV words and phrases?
- What are some strategies for effectively incorporating new words and phrases into a pre-trained model without overfitting?
- Are there any real-world applications where pre-trained language models have been successfully fine-tuned for improved performance?
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