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腾讯网
12 天
AI 论文周报丨Transformer前沿研究专题导读,解析结构稀疏化、记忆 ...
过去八年,Transformer 几乎重塑了整个人工智能研究版图。自 2017 年 Google 在「Attention Is All You ...
腾讯网
14 天
非Transformer架构的新突破,液态神经网络的推理小模型只用900M内存
这是一个连续时间模型,由多个简单的动态系统组成,这些系统通过非线性门相互调节。这种网络的特点是时间常数可变,输出通过求解微分方程得到。它在稳定性、表达能力和时间序列预测方面都优于传统模型。
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