What is the impact of transfer learning on natural language processing?
Transfer learning has revolutionized NLP by allowing models to leverage pre-trained knowledge, improving performance.
Can you give me examples of models that use transfer learning in NLP?
Sure! Popular models include BERT, GPT, and RoBERTa, which all utilize transfer learning for various NLP tasks.
How does transfer learning improve model efficiency?
It reduces the need for large labeled datasets and speeds up training, as models start with existing knowledge.
Are there any limitations to using transfer learning in NLP?
Yes, limitations include domain mismatch and the risk of overfitting if the pre-trained model is not well-suited to the new task.
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