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이 대통령 지지층 ‘중도·서울·30대·뉴이재명’ 이탈 많았다

The article discusses the challenges faced by companion AI in maintaining long-term memory and preventing the "30-round forgetfulness curse" and "persona drift." It introduces the DreamTalk architecture, which employs a four-layer memory engine to tackle these issues. This engine consists of a working memory layer, episodic memory layer, semantic knowledge graph layer, and reflection and consolidation layer.

By utilizing techniques such as weighting significant events, storing structured entity relationships, and generating self-awareness, DreamTalk aims to create virtual characters with a sense of life, immersion, and long-term connection. The article also provides a Python implementation of the core memory recall and prompt assembly module.

Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

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