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.

Are there any limitations to transfer learning?

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

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.

Is transfer learning applicable in natural language processing?

Absolutely! Models like BERT and GPT use transfer learning to excel in various NLP tasks by fine-tuning on specific datasets.