What are some applications of transfer learning in AI?

What are some applications of transfer learning in AI?

Transfer learning is widely used in various fields. For instance, in computer vision, models pre-trained on large datasets can be fine-tuned for specific tasks like medical image analysis.

Can you give me more examples in natural language processing?

Sure! In NLP, transfer learning is used in tasks like sentiment analysis and language translation, where models like BERT and GPT are fine-tuned on specific datasets.

How does transfer learning improve model performance?

It allows models to leverage knowledge from previously learned tasks, reducing the amount of data needed for training and improving accuracy.

Are there any limitations to using transfer learning?

Yes, transfer learning can lead to negative transfer if the source and target tasks are too different, which can degrade performance.