The Google AI research team has proposed a general method for generating personalized text using large language models. This method involves a multi-stage, multi-task structure that includes retrieval, ranking, summarization, synthesis, and generation, training the large language models for personalized text production. This approach has been validated on three public datasets, showing significant improvements over baseline models.