What are the benefits of transfer learning in AI?

What are the benefits of transfer learning in AI?

Transfer learning allows models to leverage knowledge from one task to improve performance on another, saving time and resources.

Can you give me an example of how transfer learning is used?

Sure! In image recognition, a model trained on a large dataset can be fine-tuned for a specific task, like identifying medical images.

What are the limitations of transfer learning?

Some limitations include the need for a similar domain between tasks and potential overfitting if the new dataset is too small.

Is transfer learning applicable in natural language processing?

Absolutely! Models like BERT and GPT use transfer learning to understand language better by pre-training on vast text corpora.

How does transfer learning impact training time?

It significantly reduces training time since the model starts with pre-learned features, requiring less data and fewer epochs.