Sample-efficient active learning for materials informatics using integrated posterior variance

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针对这些记忆缺陷,智能体工程通常采取以下手段进行增强:构建外部记忆库将用户偏好、业务知识、历史交互等存储在数据库中,智能体在需要时通过检索机制按需提取相关信息,应对长期记忆缺陷;对过长的上下文进行摘要和压缩,保留核心信息,释放Token空间,来应对信息过载导致的短期记忆遗忘。

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