Zumi's dynamic character development mechanism is based on deep learning and contextual memory techniques and encompasses three key dimensions:
- Dialogue-driven training models: Each exchange is analyzed by the system to extract characteristic dimensions such as topic preference (e.g., art/technology), emotional disposition (positive/negative), etc.
- Feedback Enhancement System: When users show favoritism to certain responses (e.g., liking or extending a conversation), the corresponding personality trait is enhanced
- Multidimensional assessment matrix: The system regularly updates Zumi's personality profile with 16 personality indicators (e.g., openness, empathy, etc.).
Users can orient Zumi in the following ways:
- Ongoing discussion of specific topics (e.g., frequent conversations about concerts foster artistic inclinations)
- Communicate using a specific tone of voice (humorous dialogue reinforces witty qualities)
- Trait-enhancing instructions are given directly in the "training model".
- Regularly review personality development reports and adjust interaction strategies
The Platform recommends that each interaction last at least 5 minutes to ensure effective learning, and that the system automatically consolidates and updates data at night.
This answer comes from the articleZumi Games: an interactive platform for creating personalized AI virtual partnersThe
May not be reproduced without permission:AI productivity tools " How does Zumi's dynamic character development mechanism work? How do users influence this development?
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