Machine Learning, Transfer Learning.
models. The most common approach is to pretrain a large-scale language model on a massive amount of text data and then fine-tune it on a smaller task-specific dataset. This approach has been used to achieve state-of-the-art results on several NLP tasks, including sentiment analysis, question