What are some case studies of transfer learning in AI?

What are some case studies of transfer learning in AI?

Transfer learning has been successfully applied in various fields. One notable case study is in image recognition, where models pre-trained on large datasets like ImageNet are fine-tuned for specific tasks, such as medical image analysis.

Can you give me another example?

Sure! In natural language processing, models like BERT and GPT have been pre-trained on vast text corpora and then fine-tuned for specific tasks like sentiment analysis or question answering.

What are the benefits of using transfer learning?

The benefits include reduced training time, improved performance on small datasets, and the ability to leverage knowledge from related tasks.

Are there any limitations to transfer learning?

Yes, limitations include the risk of negative transfer if the source and target tasks are too different, and the need for careful selection of pre-trained models.