谷歌NeurIPS 2025发布新成果:Titans+MIRAS突破Transformer超长上下文难题

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在NeurIPS 2025会议上,谷歌一口气发布了两项突破性研究,针对大模型架构提出全新解决方案。通过引入“测试时训练”机制,新架构成功将上下文处理窗口扩展至200万token,同时保持高效计算能力。这项成果被业界视为对Transformer架构的重大升级,尤其在处理超长序列任务时展现出显著优势。研究团队指出,传统Transformer架构的自注意力机制存在根本性缺陷:当序列长度增加时,计算复杂度...

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