Machine-learning potential for silver sulfide: From CHGNet pretraining to DFT-refined phase stability

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为此,智能体工程通常通过以下几类手段给大模型加“外骨骼”以改善可靠性:引入检索与知识库(RAG)以降低幻觉和知识陈旧的影响;预先设计和约束工作流,而不是完全自由的“自治智能体”,以此限定可接受的执行路径;通过多次回答、自一致性检查或模型间交叉验证,识别并过滤高风险输出;在关键链路节点上设置人工审批,让人类对高风险动作“最后拍板”。