首页> 外国专利> TRAINING METHOD FOR SPECIALIZING ARTIFICIAL INTELLIGENCE MODEL IN INSTITUTION FOR DEPLOYMENT, AND APPARATUS FOR TRAINING ARTIFICIAL INTELLIGENCE MODEL

TRAINING METHOD FOR SPECIALIZING ARTIFICIAL INTELLIGENCE MODEL IN INSTITUTION FOR DEPLOYMENT, AND APPARATUS FOR TRAINING ARTIFICIAL INTELLIGENCE MODEL

机译:专业从事人工智能模型的培训方法,以及培养人工智能模型的仪器

摘要

The present invention relates to a training method for specializing an artificial intelligence model in an institution for deployment, and an apparatus for training the artificial intelligence model. An operation method for a training apparatus operated by at least one processor comprises the steps of: extracting, from among data owned by a specific institution, a dataset to be used for specialized training; selecting, from the dataset, an annotation object required to be annotated, by using a pre-trained artificial intelligence model; and supervised-training the pre-trained artificial intelligence model by using data on which labels are annotated with respect to the annotation object.
机译:本发明涉及一种用于专用在部署机构中的人工智能模型的训练方法,以及用于训练人工智能模型的装置。由至少一个处理器操作的训练设备的操作方法包括以下步骤:从特定机构拥有的数据中提取数据集以用于专门培训;从数据集中选择要注释的注释对象,通过使用预先培训的人工智能模型来注释;并通过使用关于注释对象的标签的数据来监督预先训练的人工智能模型。

著录项

  • 公开/公告号WO2021060899A1

    专利类型

  • 公开/公告日2021-04-01

    原文格式PDF

  • 申请/专利权人 LUNIT INC.;

    申请/专利号WO2020KR13027

  • 申请日2020-09-25

  • 分类号G16H50/50;G16H50/20;G16H30/20;G06N3;G06T7;

  • 国家 KR

  • 入库时间 2022-08-24 18:03:27

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