Zumi Games' core technological breakthrough lies in the development of the Dynamic Character Development System, which continuously optimizes the way a virtual partner responds by analyzing the user's conversation patterns and behavioral data. The specific realization process can be divided into three levels:
- Initial parameter setting: Users can select a preset personality template (lively/calm/humorous, etc.) when creating a Zumi, and the system will load the corresponding base language model
- Real-time interactive learning: each conversation is analyzed by RNN network for emotional tendencies and topic characteristics, adjusting the response weight coefficients
- Long-term behavioral modeling: The system generates monthly personality development reports that show the trajectory of Zumi's preference changes through a visual dashboard
The technical whitepaper shows that the platform employs a migration learning framework that pre-trains the base model on millions of sets of conversation data before fine-tuning it based on individual user data. For example, when a user frequently discusses music topics, Zumi will gradually enhance the art vocabulary base and even generate original melodies on its own.
This answer comes from the articleZumi Games: an interactive platform for creating personalized AI virtual partnersThe
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