Pre-trained models like BERT provide a strong foundation for understanding general language, but they can be fine-tuned for specific domains, such as finance or law. By leveraging transfer learning, you can efficiently adapt these models to your unique data, even if it consists of millions of specialized documents. The evolution of language models reflects the dynamic nature of language itself, requiring continuous updates to maintain relevance and accuracy.
