What are some real-world examples of domain adaptation in AI?

What are some real-world examples of domain adaptation in AI?

Domain adaptation is a technique where a model trained on one domain is adapted to work effectively in another. For example, a model trained on images of cats and dogs can be adapted to recognize animals in a different setting, like a zoo.

Can you give me more specific examples?

Sure! One example is using a speech recognition model trained on American English and adapting it to understand British English accents. Another is adapting a sentiment analysis model trained on movie reviews to work on product reviews.

How does domain adaptation improve AI performance?

Domain adaptation improves AI performance by allowing models to leverage knowledge from a related domain, reducing the need for extensive retraining and improving accuracy in the target domain.

What challenges are associated with domain adaptation?

Challenges include differences in data distribution, the need for labeled data in the target domain, and potential overfitting to the source domain.