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”。
慢一点,才能更好看清楚这个命题的答案,明白刀刃到底该砍向哪里。
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The fierce standoff over Claude isn’t just a contract fight. It’s about who controls the future of military AI. In Washington and Silicon Valley, a conflict once relegated to specialist policy briefings has burst into view as arms-length diplomacy between the U.S. Department of Defense and Anthropic, the San Francisco-based AI lab, approaches a critical […]