What are the benefits of transfer learning in AI?

What are the benefits of transfer learning in AI?

Transfer learning allows AI models to leverage knowledge from one task to improve performance on another, reducing training time and data requirements.

Can you give me an example of how it's used?

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

What are the limitations of transfer learning?

Some limitations include the risk of negative transfer, where the pre-trained model's knowledge doesn't apply well to the new task, and the need for careful selection of the base model.

Is transfer learning applicable in natural language processing?

Absolutely! Transfer learning is widely used in NLP, with models like BERT and GPT being pre-trained on large text corpora and then fine-tuned for specific tasks.