Memorization

Memorization is a key technology in natural language processing, referring to the model's ability to remember input data during the training process. Its goal is to accurately remember and reproduce patterns and information from the training data when handling specific tasks, thereby enhancing the performance and stability of the model. Memorization has significant value in applications such as language generation, machine translation, and sentiment analysis, helping to improve the accuracy and reliability of the model.