What are some examples of transfer learning in NLP?

What are some examples of transfer learning in NLP?

Transfer learning in NLP involves using pre-trained models on new tasks. Examples include BERT for sentiment analysis and GPT for text generation.

Can you explain how BERT is used for sentiment analysis?

BERT is fine-tuned on a sentiment analysis dataset, allowing it to understand context and nuances in text, improving accuracy.

What other models are commonly used in transfer learning for NLP?

Other popular models include RoBERTa, T5, and DistilBERT, each with unique strengths for various NLP tasks.

How does transfer learning improve performance in NLP tasks?

It leverages knowledge from large datasets, reducing the need for extensive labeled data and speeding up training.