What are some popular NLP models that use transfer learning?

What are some popular NLP models that use transfer learning?

Some popular NLP models that use transfer learning include BERT, GPT-3, and RoBERTa. Would you like to know more about any specific model?

Can you explain how BERT works?

BERT, or Bidirectional Encoder Representations from Transformers, uses a transformer architecture to understand the context of words in a sentence by looking at the words that come before and after them.

What are the advantages of using transfer learning in NLP?

Transfer learning allows models to leverage pre-trained knowledge, improving performance on specific tasks with less data and training time.

Are there any limitations to using these models?

Yes, limitations include the need for large datasets for pre-training, potential biases in the training data, and high computational costs.