Learn about knowledge-enhanced pre-trained language models in this Chinese-language academic lecture that explores how to effectively integrate external knowledge into large language models. Examine methods for knowledge fusion, understand different architectural approaches, and discover techniques for improving model performance through knowledge incorporation. Gain insights into the latest research developments from Tsinghua University experts in combining structured knowledge with neural language models.
Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
