In recent years, there has been significant progress in developing computers and machines that can think like humans. This field of study is known as Continual Learning. One of the essential characteristics of human-like thinking is the capacity to recall past events and acquire new knowledge without forgetting what was formerly learned. This last aspect is crucial since one of the most significant challenges with continual learning is Catastrophic Forgetting. The process of learning new things can cause the model to forget the past, which is a significant issue that needs to be addressed. Various solutions exist for multi-task environments, including Vocabulary-Aware Label Generation (VAG).