In this webinar, Microsoft researchers Hoifung Poon, Senior Director of Biomedical NLP, and Jianfeng Gao, Distinguished Scientist, will challenge this assumption by showing that for domains with abundant unlabeled text, such as biomedicine, pretraining language models from scratch results in substantial gains over continual pretraining of general-domain language models.