爱可可AI前沿快报 Vol.105

介绍了五个AI前沿研究：更高效的Transformer训练方法，基于“变换程序”的代码重写技术，模拟人类“快思考-慢思考”的AI架构，加速图神经网络计算的IGNN-Solver，以及呼吁公开训练/测试集重叠情况以提高AI模型评估透明度的倡议。完整推介：https://mp.weixin.qq.com/s/B-MpIVvHcNxpX55AulIkWw在小宇宙查看该单集文稿

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爱可可AI前沿快报 Vol.105

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