Fg 1 Pg 1

In the field of natural language processing, the FG-1-PG-1 task focuses on a model's ability to learn single entities. This task requires the model to initially learn one entity and then, in each subsequent continuous learning step, learn a new entity. The approach aims to enhance the model’s rapid adaptability to new knowledge and incremental learning efficiency, which has significant application value, especially in dynamic knowledge updates and personalized recommendation systems.