Explain the concept of transfer learning and its relevance to prompt adaptation for different domains.
Transfer learning is a powerful machine learning paradigm that involves training a model on one task or domain and then leveraging that learned knowledge to improve performance on a different, but related, task or domain. This approach allows models to benefit from the knowledge gained during one learning task and apply it to