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    • 吴六乔:搭乘电商快车 共享秀美乡村

    程文燕

    wf（2021）

    Cited 0|Views0
    Abstract
    走进南昌市进贤县泉岭乡游家村,只见高高的水车缓缓转动,沥青村道蜿蜒进村子深处,一幢幢独立楼房排列整齐;白墙黛瓦、小桥流水、绿树成荫;村民灿烂的笑脸上漾着满足,淌着幸福……游家村俨然成为了既有文化底蕴,又有现代风貌,集"有形、有魂、有貌、有质、有品"五个特质为一体的秀美乡村.脱贫户吴六乔一家就生活...>>详细走进南昌市进贤县泉岭乡游家村,只见高高的水车缓缓转动,沥青村道蜿蜒进村子深处,一幢幢独立楼房排列整齐;白墙黛瓦、小桥流水、绿树成荫;村民灿烂的笑脸上漾着满足,淌着幸福……游家村俨然成为了既有文化底蕴,又有现代风貌,集"有形、有魂、有貌、有质、有品"五个特质为一体的秀美乡村.脱贫户吴六乔一家就生活在这个村里.
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    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
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