What are the best models for transfer learning in NLP?

What are the best models for transfer learning in NLP?

Some of the best models for transfer learning in NLP include BERT, GPT-3, and RoBERTa. They excel in various tasks.

Can you explain why BERT is so effective?

BERT is effective because it uses a bidirectional approach, allowing it to understand context from both sides of a word.

What tasks can I use these models for?

You can use these models for tasks like sentiment analysis, text classification, and question answering.

Are there any limitations to using these models?

Yes, limitations include high computational costs and the need for large datasets for fine-tuning.