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\ub7ec\ub2dd\uc774 \uc788\uc73c\uba70, \uc774\ub294 \ub9ce\uc740 \ubb38\uc81c\ub4e4\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ud574\uacb0\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud2b9\ud788 \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25269,"url":"https:\/\/atmokpo.com\/w\/25269\/","url_meta":{"origin":25399,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378 (Neural Network Language Model, NNLM)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \ub525 \ub7ec\ub2dd(deep learning)\uc758 \ubc1c\uc804\uc740 \ub9e4\uc6b0 \ub208\ubd80\uc2e0 \ubcc0\ud654\uc640 \ud601\uc2e0\uc744 \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc740 \ud2b9\ud788 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc73c\uba70, \uadf8\uc5d0 \ub530\ub77c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378(Neural Network Language\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25283,"url":"https:\/\/atmokpo.com\/w\/25283\/","url_meta":{"origin":25399,"position":4},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac: RNN\uc744 \uc774\uc6a9\ud55c \ud14d\uc2a4\ud2b8 \uc0dd\uc131","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: 2023\ub144 9\uc6d4 15\uc77c \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc778\uacf5\uc9c0\ub2a5\uc758 \ubc1c\uc804\uc740 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc624\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \uc0dd\uc131\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\ub85c, \ucd5c\uadfc \uba87 \ub144\uac04 \ub9ce\uc740 \uad00\uc2ec\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub525 \ub7ec\ub2dd \uae30\uc220\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc1c\uc804\uc740 \ub9ce\uc740 \uc5f0\uad6c\uc790\uc640 \uac1c\ubc1c\uc790\ub4e4\uc5d0\uac8c \uc0c8\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4\uc8fc\uc5c8\uc2b5\ub2c8\ub2e4.\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25435,"url":"https:\/\/atmokpo.com\/w\/25435\/","url_meta":{"origin":25399,"position":5},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, KoBERT\ub97c \uc774\uc6a9\ud55c \uae30\uacc4 \ub3c5\ud574","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc790: \uc870\uad11\ud615 \uc791\uc131\uc77c: 2024\ub144 11\uc6d4 26\uc77c \uc11c\ub860 \ucd5c\uadfc \uba87 \ub144\uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\ub294 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ubd84\uc5d0 \uadf9\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc640 \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0, \uc0dd\uc131\ud558\uba70, \uc751\ub2f5\ud558\ub294 \ub2a5\ub825\uc774 \ud5a5\uc0c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, KoBERT\uc640 \uac19\uc740 \ud55c\uad6d\uc5b4 \uae30\ubc18\uc758 \ubcc0\ud615\ub41c BERT \ubaa8\ub378\uc740 \ud55c\uad6d\uc5b4 NLP \ubd84\uc57c\uc5d0\uc11c \ud070 \uc601\ud5a5\ub825\uc744 \ubc1c\ud718\ud558\uace0\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd 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{"id":25399,"date":"2024-10-26T09:54:45","date_gmt":"2024-10-26T09:54:45","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25399"},"modified":"2024-11-26T08:01:54","modified_gmt":"2024-11-26T08:01:54","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%8a%b8%eb%9e%9c%ec%8a%a4%ed%8f%ac%eb%a8%b8transformer","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25399\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformer)"},"content":{"rendered":"

<\/p>\n

\ub525 \ub7ec\ub2dd\uc740 \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc744 \uc77c\uc73c\ucf30\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformer) \uc544\ud0a4\ud14d\ucc98\ub294 NLP \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud68d\uae30\uc801\uc73c\ub85c \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \uae30\uc5ec\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \ud2b8\ub79c\uc2a4\ud3ec\uba38\uc758 \uc6d0\ub9ac, \uad6c\uc870, \uc751\uc6a9\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubc0f \ub525 \ub7ec\ub2dd\uc758 \uc5ed\uc0ac<\/h2>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ud559\ubb38\uc785\ub2c8\ub2e4. \ucd08\uae30\uc5d0\ub294 \uaddc\uce59 \uae30\ubc18 \uc2dc\uc2a4\ud15c\uc774 \uc8fc\ub97c \uc774\ub8e8\uc5c8\uc73c\ub098, \ub370\uc774\ud130\uc758 \uc591\uc774 \ud3ed\ubc1c\uc801\uc73c\ub85c \uc99d\uac00\ud558\uba74\uc11c \ud1b5\uacc4\uc801 \ubc29\ubc95\uacfc \uae30\uacc4 \ud559\uc2b5\uc774 \ub3c4\uc785\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n
\ub525 \ub7ec\ub2dd\uc740 \uc774\ub7ec\ud55c \ubc1c\uc804\uc758 \uc77c\ud658\uc73c\ub85c \ub4f1\uc7a5\ud558\uc600\uc73c\uba70, \ud2b9\ud788 \ubc18\ubcf5 \uc2e0\uacbd\ub9dd(RNN), \ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd(CNN) \ub4f1\uc758 \uad6c\uc870\uac00 NLP\uc5d0\uc11c \uc0ac\uc6a9\ub418\uae30 \uc2dc\uc791\ud588\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc774\ub7ec\ud55c \ucd08\uae30 \ubaa8\ub378\ub4e4\uc740 \uae34 \ubb38\ub9e5\uc744 \ucc98\ub9ac\ud558\ub294 \ub370 \ud55c\uacc4\uac00 \uc788\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n

2. \ud2b8\ub79c\uc2a4\ud3ec\uba38 \uc544\ud0a4\ud14d\ucc98\uc758 \ubc1c\uc804<\/h2>\n
\ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 2017\ub144 ‘Attention is All You Need’\ub77c\ub294 \ub17c\ubb38\uc5d0\uc11c \uc18c\uac1c\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \uc544\ud0a4\ud14d\ucc98\ub294 \uae30\uc874\uc758 RNN\uacfc CNN\uc758 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud558\uace0, \uc7a5\uae30 \uc758\uc874 \ubb38\uc81c\ub97c \ud574\uacb0\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n
\n
Attention Mechanism:<\/strong> \uc8fc\ubaa9(attention) \uba54\ucee4\ub2c8\uc998\uc740 \uc785\ub825 \ub370\uc774\ud130\uc758 \ud2b9\uc815 \ubd80\ubd84\uc5d0 \uc9d1\uc911\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\uc5ec, \ubaa8\ub378\uc774 \ub354 \uc815\ud655\ud558\uac8c \ubb38\ub9e5\uc744 \uc774\ud574\ud560 \uc218 \uc788\uac8c \ud569\ub2c8\ub2e4.<\/li>\n
Self-Attention:<\/strong> \uc785\ub825 \ub2e8\uc5b4\ub4e4 \uac04\uc758 \uad00\uacc4\ub97c \ud3c9\uac00\ud558\uc5ec \uac01 \ub2e8\uc5b4\uc758 \uc911\uc694\ub3c4\ub97c \uac00\uc911 \ud3c9\uade0\ud569\ub2c8\ub2e4.<\/li>\n
Multi-Head Attention:<\/strong> \uc5ec\ub7ec \uc8fc\uc758\ub825\uc744 \ub3d9\uc2dc\uc5d0 \uacc4\uc0b0\ud558\uc5ec \ub2e4\uc591\ud55c \uad00\uc810\uc5d0\uc11c \uc815\ubcf4\ub97c \ud1b5\ud569\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3. \ud2b8\ub79c\uc2a4\ud3ec\uba38\uc758 \uad6c\uc870<\/h2>\n
\ud2b8\ub79c\uc2a4\ud3ec\uba38 \uc544\ud0a4\ud14d\ucc98\ub294 \uc778\ucf54\ub354\uc640 \ub514\ucf54\ub354 \ub450 \ubd80\ubd84\uc73c\ub85c \ub098\ub204\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4. \uc778\ucf54\ub354\ub294 \uc785\ub825\ub41c \ub370\uc774\ud130\ub97c \uc774\ud574\ud558\ub294 \uc5ed\ud560\uc744 \ud558\uace0, \ub514\ucf54\ub354\ub294 \uc774\ud574\ud55c \ub0b4\uc6a9\uc744 \ubc14\ud0d5\uc73c\ub85c \ucd9c\ub825 \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n
3.1 \uc778\ucf54\ub354<\/h3>\n
\uc778\ucf54\ub354\ub294 \uc5ec\ub7ec \uce35\uc73c\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc73c\uba70, \uac01 \uce35\uc5d0\uc11c \uc8fc\uc758 \uba54\ucee4\ub2c8\uc998\uacfc \ud53c\ub4dc\ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd\uc774 \uacb0\ud569\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3.2 \ub514\ucf54\ub354<\/h3>\n
\ub514\ucf54\ub354\ub294 \uc778\ucf54\ub354\uc758 \ucd9c\ub825\uc744 \ubc1b\uc544\uc11c \ucd5c\uc885 \uc5b8\uc5b4 \ubaa8\ub378\ub9c1 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \ub514\ucf54\ub354\ub294 \uc778\ucf54\ub354\uc758 \uc815\ubcf4\ubfd0\ub9cc \uc544\ub2c8\ub77c \uc774\uc804\uc5d0 \uc0dd\uc131\ub41c \ucd9c\ub825 \uc815\ubcf4\ub97c \ucc38\uc870\ud569\ub2c8\ub2e4.<\/p>\n
4. \ud2b8\ub79c\uc2a4\ud3ec\uba38 \uc751\uc6a9 \uc0ac\ub840<\/h2>\n
\ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc5d0\ub294 \uae30\uacc4 \ubc88\uc5ed, \ubb38\uc11c \uc694\uc57d, \uc9c8\ubb38 \uc751\ub2f5, \uac10\uc131 \ubd84\uc11d \ub4f1\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/p>\n
\n
\uae30\uacc4 \ubc88\uc5ed:<\/strong> \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \ubc88\uc5ed \uc131\ub2a5\uc744 \uae30\uc874 \ubaa8\ub378\ubcf4\ub2e4 \ub354 \ud5a5\uc0c1\uc2dc\ucf30\uc73c\uba70, \uad6c\uae00 \ubc88\uc5ed \uc11c\ube44\uc2a4\uc5d0\uc11c\ub3c4 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n
\ubb38\uc11c \uc694\uc57d:<\/strong> \ubc29\ub300\ud55c \uc591\uc758 \ud14d\uc2a4\ud2b8\ub97c \uac04\uacb0\ud558\uac8c \uc694\uc57d\ud558\ub294 \ub370 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/li>\n
\uc9c8\ubb38 \uc751\ub2f5 \uc2dc\uc2a4\ud15c:<\/strong> \ud2b9\uc815 \uc9c8\ubb38\uc5d0 \ub300\ud55c \ub2f5\ubcc0\uc744 \ucd94\ucd9c\ud574\uc8fc\ub294 \uc2dc\uc2a4\ud15c\uc5d0 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n
5. \ud2b8\ub79c\uc2a4\ud3ec\uba38\uc758 \uc7a5\uc810<\/h2>\n
\n
\ubcd1\ub82c \ucc98\ub9ac: \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 RNN\uacfc \ub2ec\ub9ac \uc2dc\ud000\uc2a4\ub97c \ubcd1\ub82c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uc5b4 \ud559\uc2b5 \uc18d\ub3c4\uac00 \ube60\ub985\ub2c8\ub2e4.<\/li>\n
\uc7a5\uae30 \uc758\uc874\uc131: Self-Attention\uc744 \ud1b5\ud574 \uae34 \uac70\ub9ac\uc758 \ub2e8\uc5b4 \uac04 \uad00\uacc4\ub97c \uc27d\uac8c \ud30c\uc545\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\ubaa8\ub378 \ub2e4\uc591\uc131: \ub2e4\uc591\ud55c \ubcc0\ud615 \ubaa8\ub378(\uc608: BERT, GPT, T5 \ub4f1)\uc774 \ud30c\uc0dd\ub418\uc5b4 \uc5ec\ub7ec NLP \uc791\uc5c5\uc5d0 \ub9de\ucdb0 \uc870\uc815 \uac00\ub2a5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
6. \uacb0\ub860<\/h2>\n
\ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uc0c8\ub85c\uc6b4 \ud328\ub7ec\ub2e4\uc784\uc744 \uc81c\uc2dc\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774 \uc544\ud0a4\ud14d\ucc98\ub294 \ub192\uc740 \uc131\ub2a5\uacfc \uc6b0\uc218\ud55c \uc77c\ubc18\ud654 \ub2a5\ub825\uc744 \ubcf4\uc774\uba70, \uc55e\uc73c\ub85c\uc758 NLP \uc5f0\uad6c\uc640 \uc2e4\uc81c \uc751\uc6a9\uc744 \ub354\uc6b1 \ubc1c\uc804\uc2dc\ud0ac \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n
7. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n
\n
[1] Vaswani, A., Shankar, S., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, \u0141., & Polosukhin, I. (2017). Attention is All You Need.<\/li>\n
[2] Devlin, J., Chang, M. W., Kenton, J., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.<\/li>\n
[3] Radford, A., Wu, J., Child, R., & Luan, D. (2019). Language Models are Unsupervised Multitask Learners.<\/li>\n<\/ul>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
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\ub300\ud55c \ud559\ubb38\uc785\ub2c8\ub2e4. \ucd08\uae30\uc5d0\ub294 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformer)”<\/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-25399","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, \ud2b8\ub79c\uc2a4\ud3ec\uba38(Transformer) - \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\/25399\/\" \/>\n<meta property=\"og:locale\" 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