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[속보] 이 대통령, 유엔서 트럼프와 30분간 정상회담

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The article discusses the challenges of creating virtual companions that can engage in long-term conversations without forgetting important details or losing their character persona. It highlights the "30-round forgetting curse" and "persona drift" issues, where AI models tend to forget user inputs and revert to a generic, robotic persona.

The article presents a solution, the DreamTalk system, which uses a four-layer memory engine to simulate human-like conversation and emotional connections. The system includes working memory, episodic memory, semantic knowledge graph, and reflection and consolidation layers to maintain long-term context and prevent persona drift.

The article also describes a "double anti-drift" mechanism that uses anchor tokens and post-generation guardrails to ensure the AI model stays in character.

Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.

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