What are the benefits of transfer learning in NLP?

What are the benefits of transfer learning in NLP?

Transfer learning in NLP allows models to leverage knowledge from pre-trained models, improving performance on specific tasks.

Can you give me some examples of tasks where transfer learning is particularly useful?

Sure! It's especially useful in tasks like sentiment analysis, named entity recognition, and text classification.

How does transfer learning save time and resources?

It reduces the need for large labeled datasets and extensive training time, as models can adapt quickly to new tasks.

Are there any limitations to using transfer learning?

Yes, transfer learning may not work well if the source and target tasks are too different, leading to suboptimal performance.