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shenlei1020 avatar shenlei1020 commented on July 23, 2024

您好,感谢对bce项目的关注!
1、先了解一下背景,您的业务场景是什么语种,什么场景?哪些情况做不好呢?
2、因为bce模型我们专门做了很多领域覆盖,再做微调可能会损害模型效果。

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zhaoyib avatar zhaoyib commented on July 23, 2024

您好,感谢对bce项目的关注! 1、先了解一下背景,您的业务场景是什么语种,什么场景?哪些情况做不好呢? 2、因为bce模型我们专门做了很多领域覆盖,再做微调可能会损害模型效果。

passages是中英双语混杂的简历文本,我将其chunk为300token的长度输入到BCEmbedding中,然后query是工作岗位描述文本,相对比较短,将其先输入到BCEmbedding中,然后通过余弦相似度搜索相似的简历,最后过Reranker得到排序。目前做得不太好的例子还在统计中,暂时没有详细描述

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whyiug avatar whyiug commented on July 23, 2024
  • 1 特殊场景-大陆内容审核领域
    确实需要微调才能保证效果

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