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\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":25421,"url":"https:\/\/atmokpo.com\/w\/25421\/","url_meta":{"origin":25493,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BERT(Bidirectional Encoder Representations from Transformers)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: [\ub0a0\uc9dc] \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP, Natural Language Processing)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ubd84\uc57c\ub85c, \ucd5c\uadfc \uba87 \ub144 \uac04 \uae09\uaca9\ud55c \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc2ec\uc5d0\ub294 \ub525 \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":25435,"url":"https:\/\/atmokpo.com\/w\/25435\/","url_meta":{"origin":25493,"position":4},"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 \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":25423,"url":"https:\/\/atmokpo.com\/w\/25423\/","url_meta":{"origin":25493,"position":5},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ucf54\ub7a9(Colab)\uc5d0\uc11c TPU \uc0ac\uc6a9\ud558\uae30","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c, \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \u27e8\ub525 \ub7ec\ub2dd\u27e9 \uae30\ubc95\uc758 \ubc1c\uc804\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\ub294 \uad04\ubaa9\ud560 \ub9cc\ud55c \uc131\uacfc\ub97c \uc774\ub8e8\uc5b4 \uc654\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 Google Colab\uc5d0\uc11c TPU\ub97c \uc774\uc6a9\ud558\uc5ec \ud559\uc2b5\uc2dc\ud0a4\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\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\uc790: \uc870\uad11\ud615 | \ub0a0\uc9dc: 2024\ub144 11\uc6d4 26\uc77c<\/p>\n<\/header>\n

1. \uc11c\ub860<\/h2>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \ucef4\ud4e8\ud130 \uacfc\ud559\uc758 \ud55c \ubd84\uc57c\ub85c, \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4. \ud2b9\ud788, \uc9c8\uc758 \uc751\ub2f5 \uc2dc\uc2a4\ud15c\uc740 \uc0ac\uc6a9\uc790\ub85c\ubd80\ud130 \uc790\uc5f0\uc5b4\ub85c \uc785\ub825\ub41c \uc9c8\ubb38\uc744 \uc774\ud574\ud558\uace0, \uadf8\uc5d0 \ub300\ud55c \uc801\uc808\ud55c \ub2f5\ubcc0\uc744 \uc81c\uacf5\ud558\ub294 \uc2dc\uc2a4\ud15c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 QA \uc2dc\uc2a4\ud15c\uc758 \uc131\ub2a5\uc744 \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \uae30\uc5ec\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
2. \ub525 \ub7ec\ub2dd\uc758 \uae30\ubcf8 \uac1c\ub150<\/h2>\n
\ub525 \ub7ec\ub2dd\uc740 \uc778\uacf5 \uc2e0\uacbd\ub9dd(Artificial Neural Networks)\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uae30\uacc4 \ud559\uc2b5\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc740 \uc778\uac04\uc758 \ub1cc\uc758 \uad6c\uc870\ub97c \ubaa8\ubc29\ud55c \ubaa8\ub378\ub85c, \uc5ec\ub7ec \uce35\uc73c\ub85c \uad6c\uc131\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. ‘\ub525’\uc774\ub77c\ub294 \uc6a9\uc5b4\ub294 \uc774\ub7ec\ud55c \uc2e0\uacbd\ub9dd\uc758 \uce35\uc774 \ub9ce\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc740 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc640 \uac15\ub825\ud55c \uacc4\uc0b0 \uc790\uc6d0\uc744 \ud1b5\ud574 \ubaa8\ub378\uc774 \uc790\ub3d9\uc73c\ub85c \ud2b9\uc131\uc744 \ud559\uc2b5\ud558\uac8c \ud569\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
3. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\uc758 \ub525 \ub7ec\ub2dd\uc758 \uc5ed\ud560<\/h2>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc774 \uc5ec\ub7ec \uac00\uc9c0 \uc8fc\uc694 \uc791\uc5c5\uc5d0 \ud65c\uc6a9\ub429\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 \uc608\ub85c\ub294 \ud14d\uc2a4\ud2b8 \ubd84\ub958, \uac10\uc815 \ubd84\uc11d, \uae30\uacc4 \ubc88\uc5ed, \uc694\uc57d \uc0dd\uc131 \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. QA \uc2dc\uc2a4\ud15c\ub3c4 \uc774\ub4e4 \uc911 \ud558\ub098\ub85c, \uc9c8\ubb38\uc744 \uc774\ud574\ud558\uace0, \uadf8\uc5d0 \ub300\ud55c \ub2f5\ubcc0\uc744 \uc81c\uacf5\ud558\ub294 \ubcf5\uc7a1\ud55c \uacfc\uc815\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
4. \uc9c8\uc758 \uc751\ub2f5 \uc2dc\uc2a4\ud15c\uc758 \uad6c\uc131 \uc694\uc18c<\/h2>\n
4.1. \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n
QA \uc2dc\uc2a4\ud15c \uad6c\ucd95\uc758 \uccab \ubc88\uc9f8 \ub2e8\uacc4\ub294 \ub370\uc774\ud130 \uc218\uc9d1\uc785\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\uc5d0\uc11c\ub294 \uc9c8\ubb38-\ub2f5\ubcc0 \uc30d\uc744 \uc218\uc9d1\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub370\uc774\ud130\ub294 \uc628\ub77c\uc778 \ud3ec\ub7fc, FAQ \ud398\uc774\uc9c0, \uc704\ud0a4\ubc31\uacfc \ub4f1 \ub2e4\uc591\ud55c \uc18c\uc2a4\uc5d0\uc11c \uc218\uc9d1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
4.2. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n
\uc218\uc9d1\ub41c \ub370\uc774\ud130\ub294 \uc804\ucc98\ub9ac \uacfc\uc815\uc744 \uac70\uccd0\uc57c \ud569\ub2c8\ub2e4. \ubd88\ud544\uc694\ud55c \ubb38\uc790\ub97c \uc81c\uac70\ud558\uace0, \uc18c\ubb38\uc790\ub85c \ubcc0\ud658\ud558\uba70, \uc5b4\uadfc \ucd94\ucd9c(stemming) \ud639\uc740 \ud45c\uc81c\uc5b4 \ucd94\ucd9c(lemmatization)\uacfc \uac19\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\ubc95\uc744 \ud1b5\ud574 \uc77c\uad00\uc131\uc744 \uc720\uc9c0\ud569\ub2c8\ub2e4.<\/p>\n
4.3. \ubaa8\ub378 \uc120\ud0dd<\/h3>\n
QA \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc801\uc808\ud55c \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \uc120\ud0dd\ud574\uc57c \ud569\ub2c8\ub2e4. Transformer \uae30\ubc18\uc758 \ubaa8\ub378\uc778 BERT(Bidirectional Encoder Representations from Transformers)\uc640 GPT(Generative Pre-trained Transformer)\uac00 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \ubaa8\ub378\ub4e4\uc740 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uc6b0\uc218\ud55c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
5. \uc9c8\uc758 \uc751\ub2f5 \ubaa8\ub378\uc758 \ud559\uc2b5<\/h2>\n
5.1. \uc190\uc2e4 \ud568\uc218\uc640 \ucd5c\uc801\ud654<\/h3>\n
\ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0a4\uae30 \uc704\ud574\uc11c\ub294 \uc190\uc2e4 \ud568\uc218(loss function)\ub97c \uc815\uc758\ud574\uc57c \ud569\ub2c8\ub2e4. \uc190\uc2e4 \ud568\uc218\ub294 \ubaa8\ub378\uc758 \uc608\uce21\uac12\uacfc \uc2e4\uc81c\uac12 \uac04\uc758 \ucc28\uc774\ub97c \uce21\uc815\ud558\uba70, \uc774 \uac12\uc774 \ucd5c\uc18c\ud654\ub418\ub3c4\ub85d \ubaa8\ub378\uc744 \ucd5c\uc801\ud654\ud574\uc57c \ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uad50\ucc28 \uc5d4\ud2b8\ub85c\ud53c(cross-entropy) \uc190\uc2e4 \ud568\uc218\uac00 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n
5.2. \ub370\uc774\ud130\uc14b \ubd84\ud560<\/h3>\n
\uc804\uccb4 \ub370\uc774\ud130\uc14b\uc744 \ud559\uc2b5(training), \uac80\uc99d(validation), \ud14c\uc2a4\ud2b8(test) \uc14b\uc73c\ub85c \ubd84\ud560\ud558\uc5ec \ubaa8\ub378 \ud559\uc2b5\uacfc \uc131\ub2a5 \ud3c9\uac00\uc5d0 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c\ub294 \uc624\ubc84\ud53c\ud305(overfitting)\uc744 \ubc29\uc9c0\ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \uae30\ubc95\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
6. QA \uc2dc\uc2a4\ud15c\uc758 \ud3c9\uac00<\/h2>\n
QA \uc2dc\uc2a4\ud15c\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 \uc5ec\ub7ec \uac00\uc9c0 \uba54\ud2b8\ub9ad\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 \uba54\ud2b8\ub9ad\uc73c\ub85c\ub294 \uc815\ud655\ub3c4(accuracy), \uc815\ubc00\ub3c4(precision), \uc7ac\ud604\uc728(recall), F1-score \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c, \uc778\uac04 \ud3c9\uac00\uc790\uc5d0 \uc758\ud55c \uc8fc\uad00\uc801\uc778 \ud3c9\uac00\ub3c4 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
7. \ucd5c\uc2e0 \ub525 \ub7ec\ub2dd \uae30\ubc18 QA \uc2dc\uc2a4\ud15c<\/h2>\n
7.1. BERT \uae30\ubc18 \uc9c8\uc758 \uc751\ub2f5<\/h3>\n
BERT\ub294 Google\uc5d0\uc11c \uac1c\ubc1c\ud55c \ubaa8\ub378\ub85c, \uc591\ubc29\ud5a5\uc73c\ub85c \ubb38\ub9e5 \uc815\ubcf4\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. QA \ud0dc\uc2a4\ud06c\uc5d0 \uc801\ud569\ud558\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc73c\uba70, Pre-training\uacfc Fine-tuning \uacfc\uc815\uc744 \ud1b5\ud574 \ub192\uc740 \uc131\ub2a5\uc744 \ubc1c\ud718\ud569\ub2c8\ub2e4.<\/p>\n
7.2. GPT \uae30\ubc18 \uc9c8\uc758 \uc751\ub2f5<\/h3>\n
GPT\ub294 OpenAI\uc5d0\uc11c \uac1c\ubc1c\ud55c \ubaa8\ub378\ub85c, \uc0dd\uc131\uc801(pre-trained) \uc811\uadfc \ubc29\uc2dd\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc9c8\ubb38\uc744 \uc785\ub825\ud558\uba74 \uadf8\uc5d0 \ub300\ud55c \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \ub2f5\ubcc0\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc73c\uba70, \ub300\ud654\ud615 QA \uc2dc\uc2a4\ud15c\uc5d0\uc11c\ub3c4 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubc1c\ud718\ud569\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
8. \uc2e4\uc804 \uc0ac\ub840 \uc5f0\uad6c<\/h2>\n
\uc5ec\ub7ec \ud68c\uc0ac\ub97c \ud3ec\ud568\ud55c \uae30\uc5c5\ub4e4\uc774 QA \uc2dc\uc2a4\ud15c\uc744 \uc801\uc6a9\ud558\uc5ec \uace0\uac1d \uc11c\ube44\uc2a4\uc640 \uc81c\ud488 \uc9c0\uc6d0\uc744 \uac1c\uc120\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, IBM\uc758 Watson\uc740 \uc758\ub8cc \ubd84\uc57c\uc5d0\uc11c \uc758\uc0ac\uc5d0\uac8c \uc778\uc0ac\uc774\ud2b8\ub97c \uc81c\uacf5\ud558\uc5ec \uc9c4\ub2e8\uacfc \uce58\ub8cc \uacb0\uc815\uc744 \uc9c0\uc6d0\ud558\uace0 \uc788\uc73c\uba70, Amazon\uc758 Alexa\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub97c \ud1b5\ud574 \uc0ac\uc6a9\uc790\uc758 \uc9c8\ubb38\uc5d0 \uc751\ub2f5\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
9. \ub3c4\uc804 \uacfc\uc81c\uc640 \ubbf8\ub798 \uc804\ub9dd<\/h2>\n
9.1. \ub3c4\uc804 \uacfc\uc81c<\/h3>\n
QA \uc2dc\uc2a4\ud15c\uc740 \uc5ec\uc804\ud788 \uc5ec\ub7ec \uac00\uc9c0 \ub3c4\uc804 \uacfc\uc81c\uc5d0 \uc9c1\uba74\ud574 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ubaa8\ub378\uc774 \ud56d\uc0c1 \uc815\ud655\ud55c \ub2f5\ubcc0\uc744 \uc81c\uc2dc\ud558\uc9c0 \uc54a\uac70\ub098 \ubb38\ub9e5\uc744 \uc798 \uc774\ud574\ud558\uc9c0 \ubabb\ud558\ub294 \uacbd\uc6b0\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c, \ud2b9\uc815 \uc8fc\uc81c\uc5d0 \ub300\ud55c \uace0\uc720\ud55c \uc9c0\uc2dd\uc744 \uc694\uad6c\ud558\ub294 \uc9c8\ubb38\uc5d0 \ub300\ud55c \ub2f5\ubcc0\uc758 \ud488\uc9c8\ub3c4 \ub5a8\uc5b4\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
9.2. \ubbf8\ub798 \uc804\ub9dd<\/h3>\n
\ud5a5\ud6c4 QA \uc2dc\uc2a4\ud15c\uc758 \uc131\ub2a5\uc740 \ub354\uc6b1 \ud5a5\uc0c1\ub420 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4. \uc815\ud655\ud55c \ub2f5\ubcc0\uc744 \uc0dd\uc131\ud558\uae30 \uc704\ud55c \ucd5c\uc2e0 \uae30\uc220\ub4e4\uc774 \uc9c0\uc18d\uc801\uc73c\ub85c \uac1c\ubc1c\ub418\uace0 \uc788\uc73c\uba70, \ub354\uc6b1 \ub9ce\uc740 \ub370\uc774\ud130\uac00 \uc218\uc9d1\ub418\uace0 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub610\ud55c, \ub2e4\uc591\ud55c \uc5b8\uc5b4\uc640 \ub3c4\uba54\uc778\uc5d0 \ub300\ud55c \uc9c8\ubb38 \ucc98\ub9ac \ub2a5\ub825\uc744 \uac00\uc9c0\ub294 \uba40\ud2f0\ubaa8\ub2ec QA \uc2dc\uc2a4\ud15c\uc758 \ubc1c\uc804\ub3c4 \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/section>\n
\n
10. \uacb0\ub860<\/h2>\n
\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud2b9\ud788 \uc9c8\uc758 \uc751\ub2f5 \uc2dc\uc2a4\ud15c\uc740 \uc778\uacf5\uc9c0\ub2a5 \uae30\uc220\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ud06c\uac8c \ubc1c\uc804\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud5a5\ud6c4 \ub354 \ub9ce\uc740 \uc5f0\uad6c\uc640 \uac1c\ubc1c\uc774 \uc774\ub8e8\uc5b4\uc9c0\uba74\uc11c, \ub354\uc6b1 \ud5a5\uc0c1\ub41c QA \uc2dc\uc2a4\ud15c\uc774 \uc6b0\ub9ac\uc758 \uc0dd\ud65c\uc744 \ud3b8\ub9ac\ud558\uac8c \ub9cc\ub4e4\uc5b4 \uc904 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc2dc\uc2a4\ud15c\ub4e4\uc740 \ub2e4\uc591\ud55c \uc0b0\uc5c5 \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc744 \uc774\ub8e8\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/footer>\n<\/article>\n
<\/body><\/p>","protected":false},"excerpt":{"rendered":"
\uc791\uc131\uc790: \uc870\uad11\ud615 | \ub0a0\uc9dc: 2024\ub144 11\uc6d4 26\uc77c 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \ucef4\ud4e8\ud130 \uacfc\ud559\uc758 \ud55c \ubd84\uc57c\ub85c, \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4. \ud2b9\ud788, \uc9c8\uc758 \uc751\ub2f5 \uc2dc\uc2a4\ud15c\uc740 \uc0ac\uc6a9\uc790\ub85c\ubd80\ud130 \uc790\uc5f0\uc5b4\ub85c \uc785\ub825\ub41c \uc9c8\ubb38\uc744 \uc774\ud574\ud558\uace0, \uadf8\uc5d0 \ub300\ud55c \uc801\uc808\ud55c \ub2f5\ubcc0\uc744 \uc81c\uacf5\ud558\ub294 \uc2dc\uc2a4\ud15c\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144\uac04 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 QA \uc2dc\uc2a4\ud15c\uc758 \uc131\ub2a5\uc744 \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ud0a4\ub294 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc9c8\uc758 \uc751\ub2f5(Question Answering, QA)”<\/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-25493","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, \uc9c8\uc758 \uc751\ub2f5(Question Answering, QA) - \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\/25493\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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