{"id":29654,"date":"2024-10-28T01:55:56","date_gmt":"2024-10-28T01:55:56","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29654"},"modified":"2024-11-26T06:51:50","modified_gmt":"2024-11-26T06:51:50","slug":"%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%8a%b8%eb%a0%8c%ec%8a%a4%ed%8f%ac%eb%a8%b8-%ed%99%9c%ec%9a%a9%ea%b0%95%ec%a2%8c-%eb%8d%b0%ec%9d%b4%ed%84%b0%ec%84%b8%ed%8a%b8-%ec%a4%80%eb%b9%84","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29654\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \ub370\uc774\ud130\uc138\ud2b8 \uc900\ube44"},"content":{"rendered":"<p><body><\/p>\n<p>\ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \uc138\uacc4\ub294 \ube60\ub974\uac8c \ubc1c\uc804\ud558\uace0 \uc788\uc73c\uba70, \uadf8 \uac00\uc6b4\ub370 <strong>\ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub9ce\uc740 \uc5f0\uad6c\uc790\uc640 \uac1c\ubc1c\uc790\ub4e4\uc5d0\uac8c \ud544\uc218\uc801\uc778 \ub3c4\uad6c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130\uc14b \uc900\ube44\ub294 \ubaa8\ub378 \ud6c8\ub828\uc758 \uccab \uac78\uc74c\uc774\uba70, \uace0\ud488\uc9c8\uc758 \ub370\uc774\ud130\uac00 \uc88b\uc740 \uacb0\uacfc\ub97c \uac00\uc838\uc624\ub294 \ub370 \ud544\uc218\uc801\uc785\ub2c8\ub2e4.<\/p>\n<h2>1. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub780?<\/h2>\n<p>\ud5c8\uae45\ud398\uc774\uc2a4 <strong>\ud2b8\ub79c\uc2a4\ud3ec\uba38<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub9cc\ub4e4\uc5b4\uc9c4 \uc624\ud508\uc18c\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\ub4e4\uacfc \ub370\uc774\ud130\uc14b\uc744 \uc81c\uacf5\ud558\uc5ec \uc5f0\uad6c\uc790\ub4e4\uc774 \uc0c8\ub85c\uc6b4 \ubaa8\ub378\uc744 \uc124\uacc4\ud558\uace0 \uc2e4\ud5d8\ud560 \uc218 \uc788\ub294 \uae30\ubc18\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc800\ub834\ud55c \ube44\uc6a9\uc73c\ub85c \uac00\uc7a5 \ucd5c\uc2e0\uc758 NLP \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub2e4\ub294 \uc810\uc5d0\uc11c \ub9e4\uc6b0 \ud070 \uc7a5\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>2. \ub370\uc774\ud130\uc14b \uc900\ube44\uc758 \uc911\uc694\uc131<\/h2>\n<p>\ubaa8\ub378\uc758 \uc131\ub2a5\uc740 \ub300\uac1c \ub370\uc774\ud130\uc14b\uc758 \ud488\uc9c8\uc5d0 \uc758\uc874\ud569\ub2c8\ub2e4. \uc798 \uad6c\uc131\ub41c \ub370\uc774\ud130\uc14b\uc740 \ubaa8\ub378 \ud6c8\ub828\uc758 \uc9c4\ud589\uc744 \uc6d0\ud65c\ud558\uac8c \ud558\uace0, \ub370\uc774\ud130\uc758 \ub2e4\uc591\uc131\uacfc \uc591\uc740 \ubaa8\ub378\uc774 \uc77c\ubc18\ud654\ud558\ub294 \ub370 \ud070 \uc601\ud5a5\uc744 \ubbf8\uce69\ub2c8\ub2e4. \ub530\ub77c\uc11c \ub370\uc774\ud130\uc14b \uc900\ube44 \ub2e8\uacc4\uc5d0\uc11c \ub2e4\uc74c\uacfc \uac19\uc740 \uc0ac\ud56d\uc744 \uace0\ub824\ud574\uc57c \ud569\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\ub370\uc774\ud130\uc758 \ud488\uc9c8:<\/strong> \uc911\ubcf5\ub41c \ub370\uc774\ud130\uc640 \ub178\uc774\uc988\uac00 \uc801\uc740 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ub370\uc774\ud130\uc758 \ub2e4\uc591\uc131:<\/strong> \ub2e4\uc591\ud55c \uc0c1\ud669\uacfc \ucf00\uc774\uc2a4\ub97c \ud3ec\ud568\ud574\uc57c \ubaa8\ub378\uc774 \uc2e4\uc81c \ud658\uacbd\uc5d0\uc11c \uc798 \uc791\ub3d9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ub370\uc774\ud130\uc758 \ud06c\uae30:<\/strong> \ub370\uc774\ud130 \uc591\uc774 \ub9ce\uc744\uc218\ub85d \ubaa8\ub378 \ud6c8\ub828\uc758 \uc77c\ubc18\ud654 \ub2a5\ub825\uc774 \ub192\uc544\uc9d1\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>3. \ub370\uc774\ud130\uc14b \ub2e4\uc6b4\ub85c\ub4dc \ubc0f \uc900\ube44<\/h2>\n<p>\ud5c8\uae45\ud398\uc774\uc2a4\ub294 \ub2e4\uc591\ud55c \uacf5\uac1c \ub370\uc774\ud130\uc14b\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uba74 \ubaa8\ub378 \ud559\uc2b5\uc5d0 \ud544\uc694\ud55c \ub370\uc774\ud130\ub97c \uc27d\uac8c \ud655\ubcf4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\uc81c \ub370\uc774\ud130\uc14b\uc744 \ub85c\ub4dc\ud558\uace0 \uc804\ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.1. Hugging Face Datasets \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58<\/h3>\n<p>\uba3c\uc800, \ud5c8\uae45\ud398\uc774\uc2a4\uc758 <strong>Datasets<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4:<\/p>\n<pre><code>pip install datasets<\/code><\/pre>\n<h3>3.2. \ub370\uc774\ud130\uc14b \ubd88\ub7ec\uc624\uae30<\/h3>\n<p>\uc774\uc81c Python\uc5d0\uc11c Hugging Face\uc758 \ub370\uc774\ud130\uc14b\uc744 \ubd88\ub7ec\uc624\ub294 \ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, <strong>IMDB \uc601\ud654 \ub9ac\ubdf0 \ub370\uc774\ud130\uc14b<\/strong>\uc744 \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>from datasets import load_dataset\n\n# IMDB \ub370\uc774\ud130\uc14b \ubd88\ub7ec\uc624\uae30\ndataset = load_dataset(\"imdb\")\n\nprint(dataset)<\/code><\/pre>\n<p>\uc704\uc758 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uba74 \ud559\uc2b5 \uc138\ud2b8\uc640 \ud14c\uc2a4\ud2b8 \uc138\ud2b8\ub85c \ub098\ub25c \ub370\uc774\ud130\uc14b\uc774 \ubd88\ub7ec\uc640\uc9d1\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ub370\uc774\ud130\uc14b\uc758 \uad6c\uc870\ub97c \uc810\uac80\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4:<\/p>\n<pre><code># \ub370\uc774\ud130\uc14b\uc758 \uccab \ubc88\uc9f8 \ud56d\ubaa9 \ucd9c\ub825\nprint(dataset['train'][0])<\/code><\/pre>\n<h3>3.3. \ub370\uc774\ud130\uc14b \uc804\ucc98\ub9ac<\/h3>\n<p>\ub370\uc774\ud130\uc14b\uc744 \ubd88\ub7ec\uc628 \ud6c4\uc5d0\ub294 \ubaa8\ub378 \ud559\uc2b5\uc5d0 \uc801\ud569\ud55c \ud615\ud0dc\ub85c \uc804\ucc98\ub9ac\ud574\uc57c \ud569\ub2c8\ub2e4. \uc804\ucc98\ub9ac \uacfc\uc815\uc740 \uc8fc\ub85c \ub370\uc774\ud130 \uc815\uc81c, \ud1a0\ud070\ud654, \ud328\ub529 \ub4f1\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.<\/p>\n<p>IMDB \ub370\uc774\ud130\uc14b\uc758 \uacbd\uc6b0, \uac01 \ub9ac\ubdf0\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub85c \ub418\uc5b4 \uc788\uc73c\uba70, \uae0d\uc815 \ub610\ub294 \ubd80\uc815 \ub808\uc774\ube14\uc774 \uc874\uc7ac\ud569\ub2c8\ub2e4. \uc774 \ub370\uc774\ud130\ub97c \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uae30 \uc704\ud574 \ud14d\uc2a4\ud2b8\ub97c \ud1a0\ud070\ud654\ud558\uace0 \uc21c\uc11c\uc5d0 \ub9de\uac8c \uc815\ub82c\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<pre><code>from transformers import AutoTokenizer\n\n# BERT\uc6a9 \ud1a0\ud06c\ub098\uc774\uc800 \ub85c\ub4dc\ntokenizer = AutoTokenizer.from_pretrained(\"bert-base-uncased\")\n\ndef preprocess_function(examples):\n    return tokenizer(examples['text'], truncation=True)\n\n# \uc804\ucc98\ub9ac \uc801\uc6a9\ntokenized_datasets = dataset['train'].map(preprocess_function, batched=True)<\/code><\/pre>\n<p>\uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c\ub294 BERT \ubaa8\ub378\uc5d0 \ub9de\ucdb0 \ud1a0\ud070\ud654\ub97c \uc9c4\ud589\ud558\uc600\uc2b5\ub2c8\ub2e4. <code>truncation=True<\/code> \uc778\uc790\ub294 \uc785\ub825 \ub370\uc774\ud130\uac00 \ud1a0\ud070\uc758 \ucd5c\ub300 \uae38\uc774\ub97c \ucd08\uacfc\ud560 \uacbd\uc6b0 \uc798\ub9ac\ub3c4\ub85d \ud558\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc744 \ud1b5\ud574 \uac01 \ub9ac\ubdf0\ub294 \ubaa8\ub378\uc774 \uc774\ud574\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \ubcc0\ud658\ub429\ub2c8\ub2e4.<\/p>\n<h3>3.4. \ub370\uc774\ud130\uc14b \uac80\ud1a0<\/h3>\n<p>\uc804\ucc98\ub9ac \uacfc\uc815\uc744 \ub9c8\uce5c \ud6c4, \ub370\uc774\ud130\uc14b\uc744 \uac80\ud1a0\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5b4\ub5a4 \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ub418\uc5c8\ub294\uc9c0 \ud655\uc778\ud574\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<pre><code># \ubcc0\ud658\ub41c \ub370\uc774\ud130\uc14b \uccab \ubc88\uc9f8 \ud56d\ubaa9 \ucd9c\ub825\nprint(tokenized_datasets[0])<\/code><\/pre>\n<h2>4. \ub370\uc774\ud130\uc14b \ubd84\ud560 \ubc0f \uc800\uc7a5<\/h2>\n<p>\ubcf8\uaca9\uc801\uc778 \ubaa8\ub378 \ud6c8\ub828\uc5d0 \ub4e4\uc5b4\uac00\uae30 \uc804\uc5d0 \ub370\uc774\ud130\ub97c \ud6c8\ub828 \uc138\ud2b8\uc640 \uac80\uc99d \uc138\ud2b8\ub85c \ub098\ub204\ub294 \uac83\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \uc131\ub2a5\uc744 \ud3c9\uac00\ud560 \uc218 \uc788\ub294 \uae30\uc900\uc744 \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>train_test_split = dataset['train'].train_test_split(test_size=0.2)\ntrain_dataset = train_test_split['train']\ntest_dataset = train_test_split['test']\n\n# \ub370\uc774\ud130\uc14b \uc800\uc7a5\ntrain_dataset.save_to_disk(\"train_dataset\")\ntest_dataset.save_to_disk(\"test_dataset\")<\/code><\/pre>\n<p>\uc704 \ucf54\ub4dc\uc5d0\uc11c\ub294 \uc804\uccb4 \ud6c8\ub828 \ub370\uc774\ud130\uc758 20%\ub97c \uac80\uc99d \uc138\ud2b8\ub85c \ud560\ub2f9\ud558\uace0, \ud6c8\ub828 \ubc0f \uac80\uc99d \uc138\ud2b8\ub97c \uac01\uac01 \uc800\uc7a5\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>5. \ub370\uc774\ud130\uc14b\uc758 \uc608\uc2dc<\/h2>\n<p>\uc774\uc81c \ub9cc\ub4e0 \ub370\uc774\ud130\uc14b\uc744 \ud65c\uc6a9\ud558\uc5ec \ud6c8\ub828\uc744 \uc9c4\ud589\ud560 \uc900\ube44\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc55e\uc11c \uc900\ube44\ud55c IMDB \ub370\uc774\ud130\uc14b\uc758 \uc77c\ubd80 \uc608\uc2dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<pre class=\"example\"><code>\uc774 \uc601\ud654\ub294 \ud6cc\ub96d\ud558\ub2e4. <strong>\uae0d\uc815<\/strong>\n\uc774 \uc601\ud654\ub294 \uc815\ub9d0 \ub054\ucc0d\ud558\ub2e4. <strong>\ubd80\uc815<\/strong><\/code><\/pre>\n<p>\uc774\ub7ec\ud55c \uc608\uc2dc\ub4e4\uc744 \ud1b5\ud574 \ubaa8\ub378\uc740 \uae0d\uc815\uc801\uc778 \ub9ac\ubdf0\uc640 \ubd80\uc815\uc801\uc778 \ub9ac\ubdf0\ub97c \uad6c\ubd84\ud558\ub294 \ubc95\uc744 \ud559\uc2b5\ud558\uac8c \ub429\ub2c8\ub2e4. \uadf8\ub9ac\uace0 \uc804\ucc98\ub9ac \uacfc\uc815\uc5d0\uc11c \ud1a0\ud070\ud654\uac00 \uc644\ub8cc\ub41c \uc0c1\ud0dc\uc774\ubbc0\ub85c, \ubc14\ub85c \ubaa8\ub378 \ud6c8\ub828\uc5d0 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>6. \uacb0\ub860<\/h2>\n<p>\uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud558\ub294 \uc804\ubc18\uc801\uc778 \uacfc\uc815\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130 \uc900\ube44\ub294 \ub525\ub7ec\ub2dd \ubaa8\ub378 \ud6c8\ub828\uc758 \uae30\ucd08\uac00 \ub418\ub294 \ub2e8\uacc4\ub85c, \ud488\uc9c8 \ub192\uc740 \ub370\uc774\ud130\uc14b\uc744 \uad6c\uc131\ud558\ub294 \uac83\uc758 \uc911\uc694\uc131\uc744 \uc54c \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\uc758 \ud3ec\uc2a4\ud2b8\uc5d0\uc11c\ub294 \uc900\ube44\ub41c \ub370\uc774\ud130\uc14b\uc744 \uac00\uc9c0\uace0 \uc2e4\uc81c \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\ub294 \uacfc\uc815\uc744 \ub2e4\ub8f0 \uc608\uc815\uc785\ub2c8\ub2e4.<\/p>\n<p>\ub525\ub7ec\ub2dd\uacfc NLP \ubd84\uc57c\uc758 \ubc1c\uc804\uc5d0 \ubc1c\ub9de\ucdb0, \ud5c8\uae45\ud398\uc774\uc2a4\ub294 \uc5ec\ub7ec\ubd84\uc758 \ub370\uc774\ud130\uc14b \uc900\ube44 \uacfc\uc815\uc744 \ub354\uc6b1 \uc218\uc6d4\ud558\uac8c \ub9cc\ub4e4\uc5b4 \uc904 \uac83\uc785\ub2c8\ub2e4. \uc9c0\uc18d\uc801\uc73c\ub85c \ud559\uc2b5\ud558\uace0 \uc2e4\ud5d8\ud558\ub294 \uacfc\uc815\uc744 \ud1b5\ud574 \uc5ec\ub7ec\ubd84\ub9cc\uc758 \ubaa8\ub378\uc744 \uac1c\ubc1c\ud574\ubcf4\uc2dc\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<h3>\ucc38\uace0\ubb38\ud5cc<\/h3>\n<ul>\n<li>Hugging Face Documentation: <a href=\"https:\/\/huggingface.co\/docs\/transformers\/index\" target=\"_blank\" rel=\"noopener\">https:\/\/huggingface.co\/docs\/transformers\/index<\/a><\/li>\n<li>Natural Language Processing with Transformers by Lewis Tunstall, Leandro von Werra, and Thomas Wolf<\/li>\n<\/ul>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\uc758 \uc138\uacc4\ub294 \ube60\ub974\uac8c \ubc1c\uc804\ud558\uace0 \uc788\uc73c\uba70, \uadf8 \uac00\uc6b4\ub370 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub9ce\uc740 \uc5f0\uad6c\uc790\uc640 \uac1c\ubc1c\uc790\ub4e4\uc5d0\uac8c \ud544\uc218\uc801\uc778 \ub3c4\uad6c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ub370\uc774\ud130\uc14b \uc900\ube44\ub294 \ubaa8\ub378 \ud6c8\ub828\uc758 \uccab \uac78\uc74c\uc774\uba70, \uace0\ud488\uc9c8\uc758 \ub370\uc774\ud130\uac00 \uc88b\uc740 \uacb0\uacfc\ub97c \uac00\uc838\uc624\ub294 \ub370 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. 1. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub780? 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