Meta AI与加州大学圣地亚哥分校推出DeepConf技术，旨在降低大语言模型复杂推理任务的算力成本，同时保持高准确率。该技术通过优化推理路径，避免传统多次采样表决策略带来的计算资源浪费和低质量推理问题。
Meta与UCSD合作推出DeepConf技术，在人工智能推理领域取得突破。该技术显著提升高难度推理题的准确性，同时大幅降低计算成本，解决了AI领域长期存在的效率与精度平衡难题。特别在AIME2025数学竞赛中表现突出，成为行业关注焦点。
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