{"id":25417,"date":"2024-10-26T09:54:55","date_gmt":"2024-10-26T09:54:55","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25417"},"modified":"2024-11-26T08:01:50","modified_gmt":"2024-11-26T08:01:50","slug":"%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-%ed%95%9c%ea%b5%ad%ec%96%b4-bert%ec%9d%98-%eb%8b%a4%ec%9d%8c-%eb%ac%b8%ec%9e%a5","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25417\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud55c\uad6d\uc5b4 BERT\uc758 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21"},"content":{"rendered":"

<\/p>\n

\n
\n

\uc791\uc131\uc77c: 2023\ub144 10\uc6d4 5\uc77c<\/p>\n

\uc791\uc131\uc790: [\uc5ec\uae30\uc5d0 \uc791\uc131\uc790 \uc774\ub984]<\/p>\n<\/header>\n

\n

1. \uc11c\ub860<\/h2>\n

\n \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uae30\uacc4\uac00 \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ub354\ubd88\uc5b4 NLP\uc758 \uc911\uc694\uc131\uc774 \ub0a0\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc73c\uba70, \uc774\ub294 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4.
\n \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers) \ubaa8\ub378\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud68d\uae30\uc801\uc778 \ud601\uc2e0\uc73c\ub85c \ud3c9\uac00\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4.
\n \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 BERT \ubaa8\ub378\uc758 \uac1c\ub150\uacfc \ud55c\uad6d\uc5b4 BERT\uc758 \ud2b9\uc9d5\uc744 \uc0b4\ud3b4\ubcf8 \ub4a4, \ud2b9\ud788 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21(Next Sentence Prediction, NSP) \uc791\uc5c5\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\ub294 \ubd84\uc11d\uc744 \uc9c4\ud589\ud560 \uac83\uc785\ub2c8\ub2e4.\n <\/p>\n<\/section>\n

\n

2. BERT \ubaa8\ub378\uc758 \uac1c\uc694<\/h2>\n

\n BERT\ub294 Google\uc5d0\uc11c \uac1c\ubc1c\ud55c \uc0ac\uc804 \ud6c8\ub828(Pre-trained) \uc5b8\uc5b4 \ud45c\ud604 \ubaa8\ub378\ub85c, \ud14d\uc2a4\ud2b8\uc758 \ubb38\ub9e5\uc744 \uc591\ubc29\ud5a5\uc73c\ub85c \uc774\ud574\ud560 \uc218 \uc788\ub294 \ud2b9\uc9d5\uc774 \uc788\uc2b5\ub2c8\ub2e4.
\n BERT\ub294 Transformer \uad6c\uc870\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uba70, \uc774\ub97c \ud1b5\ud574 \uace0\ucc28\uc6d0\uc758 \ubb38\ub9e5 \uc815\ubcf4\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n \uae30\uc874\uc758 \uc5b8\uc5b4 \ubaa8\ub378\ub4e4\uc740 \uc8fc\ub85c \ub2e8\ubc29\ud5a5\uc73c\ub85c \uc791\ub3d9\ud588\uc73c\ub098, BERT\ub294 \ubb38\uc7a5\uc758 \uc774\uc804\uacfc \uc774\ud6c4 \ub2e8\uc5b4\ub97c \ubaa8\ub450 \uace0\ub824\ud558\uc5ec \uc758\ubbf8\ub97c \ud30c\uc545\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n

\n BERT\ub294 \ub450 \uac00\uc9c0 \uc8fc\uc694 \uc791\uc5c5\uc5d0 \ub300\ud574 \uc0ac\uc804 \ud6c8\ub828\ub429\ub2c8\ub2e4:
\n 1. Masked Language Model (MLM)<\/strong>: \ubb38\uc7a5 \ub0b4 \ub2e8\uc5b4\ub97c \ub79c\ub364\uc73c\ub85c \ub9c8\uc2a4\ud0b9\ud558\uace0, \uc774\ub97c \uae30\ubc18\uc73c\ub85c \ub9c8\uc2a4\ud0b9\ub41c \ub2e8\uc5b4\ub97c \uc608\uce21\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.
\n 2. Next Sentence Prediction (NSP)<\/strong>: \uc8fc\uc5b4\uc9c4 \ub450 \ubb38\uc7a5\uc774 \uc11c\ub85c \uc5f0\uacb0\ub418\uc5b4 \uc788\ub294\uc9c0\ub97c \ud310\ub2e8\ud558\ub294 \uc791\uc5c5\uc785\ub2c8\ub2e4.\n <\/p>\n<\/section>\n

\n

3. \ud55c\uad6d\uc5b4 BERT<\/h2>\n

\n \ud55c\uad6d\uc5b4 BERT \ubaa8\ub378\uc740 \ud55c\uad6d\uc5b4 \ub370\uc774\ud130\uc14b\uc744 \uae30\ubc18\uc73c\ub85c \ud6c8\ub828\ub41c BERT \ubaa8\ub378\ub85c, \ud55c\uad6d\uc5b4\uc758 \ubb38\ubc95\uc801 \ud2b9\uc131\uacfc \uc5b4\uc21c\uc744 \uace0\ub824\ud558\uc5ec \ubc1c\uc804\ub41c \ubaa8\ub378\uc785\ub2c8\ub2e4.
\n \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\uc758 \ud55c\uad6d\uc5b4\ub294 \uace0\uc720\ud55c \ud615\ud0dc\uc18c \ubd84\uc11d\uacfc \ubb38\ubc95 \uad6c\uc870\ub97c \uac00\uc9c0\uace0 \uc788\uc5b4, BERT\uac00 \ud55c\uad6d\uc5b4\uc5d0 \ucd5c\uc801\ud654\ub420 \uc218 \uc788\ub3c4\ub85d \ub2e4\uc591\ud55c \ubc29\ubc95\uc774 \ubaa8\uc0c9\ub418\uc5c8\uc2b5\ub2c8\ub2e4.\n <\/p>\n

\n \ud55c\uad6d\uc5b4 BERT\uc758 \ud6c8\ub828 \ub370\uc774\ud130\ub294 \ub300\uaddc\ubaa8\uc758 \ud55c\uad6d\uc5b4 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub85c \uad6c\uc131\ub418\uba70, \uc704\ud0a4\ud53c\ub514\uc544, \ub274\uc2a4 \uae30\uc0ac, \ube14\ub85c\uadf8 \ub4f1 \ub2e4\uc591\ud55c \ucd9c\ucc98\uc5d0\uc11c \uc218\uc9d1\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub2e4\ucc44\ub85c\uc6b4 \ub370\uc774\ud130\ub294 \ubaa8\ub378\uc774 \uad11\ubc94\uc704\ud55c \uc5b8\uc5b4 \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \uae30\uc5ec\ud569\ub2c8\ub2e4.\n <\/p>\n<\/section>\n

\n

4. \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21(Next Sentence Prediction) \uc124\uba85<\/h2>\n

\n \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21(NSP)\uc740 BERT\uc758 \ud575\uc2ec \uc791\uc5c5 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc774 \uc791\uc5c5\uc740 \ub450 \ubb38\uc7a5\uc774 \uc8fc\uc5b4\uc84c\uc744 \ub54c, \ub450 \ubb38\uc7a5\uc774 \uc5f0\uc18d\uc801\uc73c\ub85c \ub098\uc624\ub294 \ubb38\uc7a5\uc778\uc9c0 \uc5ec\ubd80\ub97c \ud310\ub2e8\ud569\ub2c8\ub2e4.
\n \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc774 \ubb38\uc7a5\uc758 \ud750\ub984\uacfc \uc758\ub3c4\ub97c \ud30c\uc545\ud558\uace0, \uae34 \ubb38\ub9e5\uc744 \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.\n <\/p>\n

\n NSP \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ub370 \uc788\uc5b4 BERT\ub294 \uc544\ub798\uc640 \uac19\uc740 \uc808\ucc28\ub97c \uac70\uce69\ub2c8\ub2e4:<\/p>\n

    \n
  1. \ubb38\uc7a5 A\uc640 \ubb38\uc7a5 B\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\ub294\ub2e4.<\/li>\n
  2. \ub450 \ubb38\uc7a5\uc744 ‘[CLS]’\uc640 ‘[SEP]’ \ud1a0\ud070\uc73c\ub85c \uc5f0\uacb0\ud558\uc5ec \uc785\ub825 \ud150\uc11c\ub97c \uc0dd\uc131\ud55c\ub2e4.<\/li>\n
  3. \uc774 \ud150\uc11c\ub97c BERT \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uc5ec \uac01 \ubb38\uc7a5\uc5d0 \ub300\ud55c \uc784\ubca0\ub529\uc744 \uc0dd\uc131\ud55c\ub2e4.<\/li>\n
  4. \ucd5c\uc885\uc801\uc73c\ub85c, \ubb38\uc7a5 B\uac00 \ubb38\uc7a5 A\uc758 \ub2e4\uc74c\uc5d0 \uc624\ub294 \ubb38\uc7a5\uc778\uc9c0\ub97c \uc608\uce21\ud55c\ub2e4.<\/li>\n<\/ol>\n

    \n NSP \uc791\uc5c5\uc740 \ud2b9\uc815 \ud1a0\ud070 \uc784\ubca0\ub529\uc744 \ud1b5\ud574 \ud574\uacb0\ub418\uba70, \ubaa8\ub378\uc740 \ub450 \ubb38\uc7a5\uc774 \uc5f0\uacb0\ub418\uc5b4 \uc788\uc744 \uacbd\uc6b0\uc640 \uadf8\ub807\uc9c0 \uc54a\uc744 \uacbd\uc6b0\ub97c \ud559\uc2b5\ud558\uac8c \ub429\ub2c8\ub2e4.
    \n \uc774 \ubc29\uc2dd\uc744 \ud1b5\ud574 BERT\ub294 \uc9c8\ubb38 \uc751\ub2f5, \ubb38\uc7a5 \ubd84\ub958 \ub4f1 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubc1c\ud718\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n<\/section>\n

    \n

    5. \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21 \uad6c\ud604\ud558\uae30<\/h2>\n

    \n \ud55c\uad6d\uc5b4 BERT\ub97c \ud65c\uc6a9\ud55c \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21 \ubaa8\ub378\uc744 \uc2e4\uc81c\ub85c \uad6c\ud604\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uacfc\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.
    \n \ubcf8 \uacfc\uc815\uc740 Hugging Face\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n

    \n\ub2e8\uacc4 1: \ud658\uacbd \uc124\uc815 \ubc0f \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58<\/strong>
    \n Python \ud658\uacbd\uc5d0\uc11c Hugging Face\uc758 Transformers, PyTorch \ub610\ub294 TensorFlow\ub97c \uc124\uce58\ud569\ub2c8\ub2e4.\n <\/p>\n<\/section>\n<\/article>\n

    <\/body><\/p>\n","protected":false},"excerpt":{"rendered":"

    \uc791\uc131\uc77c: 2023\ub144 10\uc6d4 5\uc77c \uc791\uc131\uc790: [\uc5ec\uae30\uc5d0 \uc791\uc131\uc790 \uc774\ub984] 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uae30\uacc4\uac00 \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ub354\ubd88\uc5b4 NLP\uc758 \uc911\uc694\uc131\uc774 \ub0a0\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc73c\uba70, \uc774\ub294 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers) \ubaa8\ub378\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud68d\uae30\uc801\uc778 \ud601\uc2e0\uc73c\ub85c \ud3c9\uac00\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 BERT \ubaa8\ub378\uc758 \uac1c\ub150\uacfc \ud55c\uad6d\uc5b4 BERT\uc758 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud55c\uad6d\uc5b4 BERT\uc758 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-25417","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud55c\uad6d\uc5b4 BERT\uc758 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/25417\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud55c\uad6d\uc5b4 BERT\uc758 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc791\uc131\uc77c: 2023\ub144 10\uc6d4 5\uc77c \uc791\uc131\uc790: [\uc5ec\uae30\uc5d0 \uc791\uc131\uc790 \uc774\ub984] 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uae30\uacc4\uac00 \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uacfc \ub354\ubd88\uc5b4 NLP\uc758 \uc911\uc694\uc131\uc774 \ub0a0\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc73c\uba70, \uc774\ub294 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers) \ubaa8\ub378\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \ud68d\uae30\uc801\uc778 \ud601\uc2e0\uc73c\ub85c \ud3c9\uac00\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 BERT \ubaa8\ub378\uc758 \uac1c\ub150\uacfc \ud55c\uad6d\uc5b4 BERT\uc758 … \ub354 \ubcf4\uae30 "\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud55c\uad6d\uc5b4 BERT\uc758 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25417\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:54:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:01:50+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/25417\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25417\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: \ud55c\uad6d\uc5b4 BERT\uc758 \ub2e4\uc74c \ubb38\uc7a5 \uc608\uce21\",\"datePublished\":\"2024-10-26T09:54:55+00:00\",\"dateModified\":\"2024-11-26T08:01:50+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/25417\/\"},\"wordCount\":63,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ub525\ub7ec\ub2dd 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