What are the benefits of transfer learning in NLP?
Transfer learning allows models to leverage pre-trained knowledge, improving performance and reducing training time.
Can you give me some specific examples of how it's used?
Sure! It's used in tasks like sentiment analysis, where models trained on large datasets can be fine-tuned for specific applications.
What are the limitations of transfer learning?
Some limitations include the risk of overfitting on small datasets and the need for careful selection of pre-trained models.
How does it compare to traditional training methods?
Transfer learning often outperforms traditional methods by starting with a strong foundation, saving time and resources.
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