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This paper analyzes some speed and performance improvement methods ofTransformer architecture in recent years, mainly its application in dedicatedmodel training. The dedicated model studied here refers to the open domainpersona-aware dialogue generation model, and the dataset is multi turn shortdialogue, The total length of a single input sequence is no more than 105tokens. Therefore, many improvements in the architecture and attentionmechanism of transformer architecture for long sequence processing are notdiscussed in this paper. The source code of the experiments has been opensourced: https://github.com/ghosthamlet/persona

Improvement of a dedicated model for open domain persona-aware dialogue generation