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M2M100 \ubaa8\ub378\uc740 \ub2e4\uc591\ud55c \uc5b8\uc5b4 \uac04\uc758 \ubc88\uc5ed\uc744 \uc9c0\uc6d0\ud558\ub294\u2026","rel":"","context":""\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9"\uc5d0\uc11c","block_context":{"text":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9","link":"https:\/\/atmokpo.com\/w\/category\/%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%99%9c%ec%9a%a9\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25461,"url":"https:\/\/atmokpo.com\/w\/25461\/","url_meta":{"origin":25381,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BART \ud30c\uc778 \ud29c\ub2dd \uc2e4\uc2b5: \ub274\uc2a4 \uc694\uc57d","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 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c, \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\ub294 \ube44\uc57d\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc73c\uba70, \ud2b9\ud788 \ud14d\uc2a4\ud2b8 \uc0dd\uc131, \ubc88\uc5ed \ubc0f \uc694\uc57d\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0\uc11c \ub450\uac01\uc744 \ub098\ud0c0\ub0b4\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 BART(Bidirectional and Auto-Regressive Transformers) \ubaa8\ub378\uc744\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":30092,"url":"https:\/\/atmokpo.com\/w\/30092\/","url_meta":{"origin":25381,"position":4},"title":"\ub525\ub7ec\ub2dd \ud30c\uc774\ud1a0\uce58 \uac15\uc88c, \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \uc784\ubca0\ub529","author":"root","date":"2024\ub144 10\uc6d4 28\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \uc0ac\uc6a9\uc790\uac00 \uc758\ub3c4\ud55c \ubc14\ub97c \uc774\ud574\ud558\uace0, \ubb38\ub9e5\uc5d0 \ub9de\ub294 \uc751\ub2f5\uc744 \uc0dd\uc131\ud558\uba70, \uc5ec\ub7ec \uc5b8\uc5b4\uc801 \uc694\uc18c\ub97c \ubd84\uc11d\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc911\uc694\ud55c \uae30\uc220 \uc911 \ud558\ub098\uac00 \uc784\ubca0\ub529(Embedding)\uc785\ub2c8\ub2e4. \uc784\ubca0\ub529\uc740 \ub2e8\uc5b4\ub97c \ubca1\ud130 \uacf5\uac04\uc5d0 \ub9e4\ud551\ud558\uc5ec \uc758\ubbf8\uc801 \uad00\uacc4\ub97c \ub354 \uc218\uce58\uc801\uc73c\ub85c \ud45c\ud604\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4. \uc624\ub298\uc740 \ud30c\uc774\ud1a0\uce58\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \uc704\ud55c \ub2e8\uc5b4 \uc784\ubca0\ub529\uc744 \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc784\ubca0\ub529\uc774\ub780?\u2026","rel":"","context":""\ud30c\uc774\ud1a0\uce58 \uac15\uc88c"\uc5d0\uc11c","block_context":{"text":"\ud30c\uc774\ud1a0\uce58 \uac15\uc88c","link":"https:\/\/atmokpo.com\/w\/category\/%ed%8c%8c%ec%9d%b4%ed%86%a0%ec%b9%98-%ea%b0%95%ec%a2%8c\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25197,"url":"https:\/\/atmokpo.com\/w\/25197\/","url_meta":{"origin":25381,"position":5},"title":"03-02 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud1b5\uacc4\uc801 \uc5b8\uc5b4 \ubaa8\ub378(Statistical Language Model, SLM)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: 2023\ub144 10\uc6d4 05\uc77c \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220 \ubd84\uc57c\ub85c, \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ud798\uc785\uc5b4 \ud06c\uac8c \ubc1c\uc804\ud558\uc600\ub2e4. \ud2b9\ud788, \ud1b5\uacc4\uc801 \uc5b8\uc5b4 \ubaa8\ub378(Statistical Language Model, SLM)\uc740 \uc774\ub7ec\ud55c \ubc1c\uc804\uc758 \ud575\uc2ec\uc801\uc778 \uc694\uc18c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd 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\uc791\uc131\uc77c: YYYY-MM-DD<\/p>\n

\uc791\uc131\uc790: \uc870\uad11\ud615<\/p>\n<\/header>\n

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

\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \ucef4\ud4e8\ud130\uac00 \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc774\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc740 \ube44\uc57d\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc73c\uba70, \ud2b9\ud788 BERT, GPT\uc640 \uac19\uc740 \ub300\ud615 \uc5b8\uc5b4 \ubaa8\ub378\uc740 \ub180\ub77c\uc6b4 \uc131\uacfc\ub97c \uac70\ub450\uc5c8\ub2e4. \uadf8\ub7ec\ub098 \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \ud559\uc2b5 \ub370\uc774\ud130\uc5d0 \ub530\ub77c \uc131\ub2a5\uc774 \ud06c\uac8c \ub2ec\ub77c\uc9c0\uba70, \ub300\uc6a9\ub7c9\uc758 \uc5b8\uc5b4 \ub370\uc774\ud130\ub97c \ud544\uc694\ub85c \ud55c\ub2e4. \uc774\ub54c \ud544\uc694\ud55c \uac83\uc774 \ubc14\ub85c \ud1a0\ud06c\ub098\uc774\uc800(tokenizer)\uc774\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800(Subword Tokenizer)\uc758 \uc6d0\ub9ac\uc640 \uad6c\ud604 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0\uc790 \ud55c\ub2e4.<\/p>\n<\/section>\n

2. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\uc758 \ud1a0\ud06c\ub098\uc774\uc800 \uc5ed\ud560<\/h2>\n

\ud1a0\ud06c\ub098\uc774\uc800\ub294 \uc785\ub825\ub41c \ubb38\uc7a5\uc744 \ub354 \uc791\uc740 \ub2e8\uc704\uc778 \ud1a0\ud070(token)\uc73c\ub85c \ubd84\ud560\ud558\ub294 \uc5ed\ud560\uc744 \ud55c\ub2e4. \uc774\ub294 \ubb38\uc7a5\uc744 \ubaa8\ub378\uc774 \uc774\ud574\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\uae30 \uc704\ud55c \ud544\uc218\uc801\uc778 \uacfc\uc815\uc774\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ud1a0\ud06c\ub098\uc774\uc800\uc758 \uc885\ub958\uc5d0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uac83\ub4e4\uc774 \uc788\ub2e4:<\/p>\n

\uc6cc\ub4dc \uae30\ubc18 \ud1a0\ud06c\ub098\uc774\uc800: \ub2e8\uc5b4\ub97c \uae30\uc900\uc73c\ub85c \ubd84\ud560\ud55c\ub2e4.<\/li>\n
\ubc14\uc774\ud2b8 \uae30\ubc18 \ud1a0\ud06c\ub098\uc774\uc800: \ud14d\uc2a4\ud2b8\ub97c \ubc14\uc774\ud2b8 \ub2e8\uc704\ub85c \ubd84\ud560\ud55c\ub2e4.<\/li>\n

\uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800: \ub2e8\uc5b4\ub97c \ub354\uc6b1 \uc791\uc740 \ub2e8\uc704\ub85c \ub098\ub204\uc5b4 \ucc98\ub9ac\ud55c\ub2e4.<\/li>\n<\/ul>\n

\uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\ub294 \ud2b9\ud788 \ud76c\uadc0 \ub2e8\uc5b4 \ubb38\uc81c\ub97c \ud574\uacb0\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc73c\ub85c \uc8fc\ubaa9\ubc1b\uace0 \uc788\ub2e4. \uc774 \ubc29\ubc95\uc744 \ud1b5\ud574 \ubaa8\ub378\uc740 \ubbf8\uc9c0\uc758 \ub2e8\uc5b4\ub97c \ucc98\ub9ac\ud558\uace0, \uc801\uc740 \uc591\uc758 \ub370\uc774\ud130\ub85c\ub3c4 \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \ubc1c\ud718\ud560 \uc218 \uc788\ub2e4.<\/p>\n<\/section>\n

3. \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\uc758 \uc6d0\ub9ac<\/h2>\n
\uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\ub294 \ub2e8\uc5b4\ub97c \uc758\ubbf8 \uc788\ub294 \uc791\uc740 \ubd80\ubd84(subwords)\uc73c\ub85c \ub098\ub204\ub294 \uae30\ubc95\uc73c\ub85c, \uc5ec\uae30\uc11c \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc740 BPE(Byte Pair Encoding)\uc640 WordPiece\uc774\ub2e4.<\/p>\n

3.1. Byte Pair Encoding (BPE)<\/h3>\n
BPE\ub294 \uc555\ucd95 \uc54c\uace0\ub9ac\uc998\uc5d0\uc11c \uc720\ub798\ub41c \ubc29\ubc95\uc73c\ub85c, \ucc98\uc74c\uc5d0\ub294 \uac1c\ubcc4 \ubb38\uc790\ub85c \uc2dc\uc791\ud558\uc5ec \uac00\uc7a5 \uc790\uc8fc \ub4f1\uc7a5\ud558\ub294 \ubb38\uc790 \uc30d\uc744 \ubc18\ubcf5\uc801\uc73c\ub85c \ubcd1\ud569\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ud1a0\ud070\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\uc2dd\uc774\ub2e4. \uc774 \uacfc\uc815\uc744 \ud2b9\uc815 \uae30\uc900(\uc608: \uc804\uccb4 \ub2e8\uc5b4 \uc218\uc758 0.1%\uae4c\uc9c0)\uae4c\uc9c0 \ubc18\ubcf5\ud55c\ub2e4.<\/p>\n

3.2. WordPiece<\/h3>\n

WordPiece\ub294 Google\uc5d0\uc11c \uac1c\ubc1c\ub41c \ubaa8\ub378\ub85c, BPE\uc640 \uc720\uc0ac\ud558\uc9c0\ub9cc \uc11c\ub85c \ub2e4\ub978 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubcf4\ub2e4 \uc815\uad50\ud558\uac8c \ub2e8\uc5b4\ub97c \ubd84\ud560\ud558\ub294 \ubc29\ubc95\uc774\ub2e4. \uc8fc\ub85c \ube48\ub3c4 \uae30\ubc18\uc73c\ub85c \ud1a0\ud070\uc744 \uc0dd\uc131\ud558\uba70, \uc790\uc8fc \ub4f1\uc7a5\ud558\ub294 subword \uc870\ud569\uc744 \uc6b0\uc120\uc801\uc73c\ub85c \uace0\ub824\ud55c\ub2e4. \uc774\ub7ec\ud55c \ubc29\uc2dd\uc740 \ubaa8\ub378\uc758 \uc5b4\ud718 \uc218\ub97c \uc904\uc774\uace0, \uc800\ube48\ub3c4 \ub2e8\uc5b4\uc5d0 \ub300\ud55c \uc77c\ubc18\ud654 \ub2a5\ub825\uc744 \ub192\uc774\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc900\ub2e4.<\/p>\n<\/section>\n

4. \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\uc758 \uc7a5\uc810<\/h2>\n

\uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc7a5\uc810\uc744 \uac00\uc9c0\uace0 \uc788\ub2e4:<\/p>\n

\ud76c\uadc0 \ub2e8\uc5b4 \ucc98\ub9ac: \ud76c\uadc0\ud55c \ub2e8\uc5b4\ub294 \uc11c\ube0c\uc6cc\ub4dc \ub2e8\uc704\ub85c \ubd84\ud560\ub418\uc5b4 \ubaa8\ub378\uc774 \ud574\ub2f9 \ub2e8\uc5b4\ub97c \uc774\ud574\ud560 \uc218 \uc788\uac8c \ub41c\ub2e4.<\/li>\n
\uc5b4\ud718 \ud06c\uae30 \uac10\uc18c: \ub2e8\uc5b4 \uc218\uc900\uc758 \uc811\uadfc \ub300\ube44 \uc5b4\ud718 \ud06c\uae30\ub97c \uc904\uc5ec \uba54\ubaa8\ub9ac \uc0ac\uc6a9\ub7c9\uc744 \uc904\uc774\uace0 \ud559\uc2b5 \uc18d\ub3c4\ub97c \ub192\uc778\ub2e4.<\/li>\n

\uc5b8\uc5b4 \uac04 \uc77c\ubc18\ud654: \uc5ec\ub7ec \uc5b8\uc5b4\ub97c \ub2e4\ub8e8\ub294 \ubaa8\ub378\uc5d0\uc11c \uacf5\ud1b5\ub41c \uc11c\ube0c\uc6cc\ub4dc\ub97c \uc0ac\uc6a9\ud568\uc73c\ub85c\uc368 \ub2e4\uc591\ud55c \uc5b8\uc5b4 \uac04\uc5d0 \uc9c0\uc2dd\uc744 \uc804\uc774\ud560 \uc218 \uc788\ub2e4.<\/li>\n<\/ul>\n<\/section>\n

5. \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800 \uad6c\ud604<\/h2>\n

\uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\ub294 Python\uc758 tokenizers<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub098 huggingface\/transformers<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud1b5\ud574 \uad6c\ud604\ud560 \uc218 \uc788\ub2e4. \uc544\ub798\ub294 BPE\ub97c \uc0ac\uc6a9\ud55c \uac04\ub2e8\ud55c \uc608\uc81c\uc774\ub2e4:<\/p>\n

from tokenizers import ByteLevelBPETokenizer\n\n# \ud559\uc2b5 \ub370\uc774\ud130\ndata = [\"Deep learning is a subset of machine learning.\",\n        \"Natural language processing enables machines to understand human language.\"]\n\n# \ud1a0\ud06c\ub098\uc774\uc800 \ucd08\uae30\ud654\ntokenizer = ByteLevelBPETokenizer()\n\n# \ub370\uc774\ud130 \ud559\uc2b5\ntokenizer.train_from_iterator(data)\n\n# \ud1a0\ud070\ud654\nencoded = tokenizer.encode(\"Deep learning is fun!\")\nprint(encoded.tokens())  # \uc0dd\uc131\ub41c \ud1b5\uacc4\nprint(encoded.ids())     # \ud1a0\ud070 ID<\/code><\/pre>\n\uc704 \ucf54\ub4dc\ub294 \uba3c\uc800 ByteLevelBPETokenizer<\/code>\ub97c \ucd08\uae30\ud654\ud55c \ud6c4, \ub370\uc774\ud130\uc5d0\uc11c \uc11c\ube0c\uc6cc\ub4dc\ub97c \ud559\uc2b5\ud558\uace0 \ud2b9\uc815 \ubb38\uc7a5\uc744 \ud1a0\ud06c\ub098\uc774\uc988\ud558\ub294 \uacfc\uc815\uc744 \ubcf4\uc5ec\uc900\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ud130\ubbf8\ub110\uc774\ub098 \uc6f9 \uc778\ud130\ud398\uc774\uc2a4\ub97c \ud1b5\ud574 subword vocabulary\ub97c \ud655\uc778\ud560 \uc218 \uc788\ub2e4.<\/p>\n<\/section>\n
\n6. \uacb0\ub860<\/h2>\n\uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\ub294 \ud604\ub300 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \uc218\ud589\ud558\uace0 \uc788\uc73c\uba70, \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud558\ub294 \ub370 \uae30\uc5ec\ud55c\ub2e4. \ub370\uc774\ud130\uc758 \ud2b9\uc131\uacfc \ubaa8\ub378\uc758 \ubaa9\uc801\uc5d0 \ub9de\ucdb0 \uc801\uc808\ud55c \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc120\ud0dd\ud558\ub294 \uac83\uc740 \uc131\uacf5\uc801\uc778 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc2dc\uc2a4\ud15c \uad6c\ucd95\uc758 \uae30\ucd08\uac00 \ub420 \uac83\uc774\ub2e4. \ud5a5\ud6c4 \ubc1c\uc804\ud558\ub294 \ub525 \ub7ec\ub2dd \uae30\uc220\uacfc \ud568\uaed8 \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800\ub294 \ub354\uc6b1 \uc9c4\ud654\ud560 \uac83\uc73c\ub85c \ubcf4\uc778\ub2e4.<\/p>\n<\/section>\n
\n7. \ucc38\uace0 \ubb38\ud5cc<\/h2>\n\n[1] Vaswani, A., et al. (2017). Attention Is All You Need. NIPS.<\/li>\n
[2] Radford, A., et al. (2019). Language Models are Unsupervised Multitask Learners. OpenAI.<\/li>\n
[3] Kudo, T. (2018). Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates. arXiv preprint arXiv:1804.10959.<\/li>\n
[4] Sennrich, R., et al. (2016). Neural Machine Translation of Rare Words with Subword Units. arXiv preprint arXiv:1508.07909.<\/li>\n<\/ul>\n<\/section>\n<\/article>\n<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc791\uc131\uc77c: YYYY-MM-DD \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \ucef4\ud4e8\ud130\uac00 \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc774\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc740 \ube44\uc57d\uc801\uc778 \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc73c\uba70, \ud2b9\ud788 BERT, GPT\uc640 \uac19\uc740 \ub300\ud615 \uc5b8\uc5b4 \ubaa8\ub378\uc740 \ub180\ub77c\uc6b4 \uc131\uacfc\ub97c \uac70\ub450\uc5c8\ub2e4. \uadf8\ub7ec\ub098 \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \ud559\uc2b5 \ub370\uc774\ud130\uc5d0 \ub530\ub77c \uc131\ub2a5\uc774 \ud06c\uac8c \ub2ec\ub77c\uc9c0\uba70, \ub300\uc6a9\ub7c9\uc758 \uc5b8\uc5b4 \ub370\uc774\ud130\ub97c \ud544\uc694\ub85c \ud55c\ub2e4. \uc774\ub54c … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800”<\/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-25381","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, \uc11c\ube0c\uc6cc\ub4dc \ud1a0\ud06c\ub098\uc774\uc800 - \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\/25381\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 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