{"id":29520,"date":"2024-10-28T01:55:15","date_gmt":"2024-10-28T01:55:15","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29520"},"modified":"2024-11-26T06:52:26","modified_gmt":"2024-11-26T06:52:26","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-bart-%eb%9d%bc%ec%9d%b4%eb%b8%8c%eb%9f%ac%eb%a6%ac-%ec%84%a4%ec%a0%95","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29520\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30"},"content":{"rendered":"

<\/p>\n

BART(Bidirectional and Auto-Regressive Transformers)\ub780 \ubb34\uc5c7\uc778\uac00?<\/h2>\n

BART\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing) \uc791\uc5c5\uc744 \uc704\ud574 \uc124\uacc4\ub41c \ub525\ub7ec\ub2dd \ubaa8\ub378\ub85c, \ud398\uc774\uc2a4\ubd81 AI Research\uc5d0\uc11c \uac1c\ubc1c\ud558\uc600\uc2b5\ub2c8\ub2e4. BART\ub294 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub97c \uac00\uc9c0\uba70, \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 BART\ub294 \ud14d\uc2a4\ud2b8 \uc694\uc57d, \ubc88\uc5ed, \uc9c8\ubb38 \uc751\ub2f5 \ubc0f \ubb38\uc11c \uc0dd\uc131\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n

\ud5c8\uae45\ud398\uc774\uc2a4 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub780?<\/h2>\n

\ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5\ub41c \uc5b8\uc5b4 \ubaa8\ub378\uc744 \uc190\uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ud574\uc8fc\ub294 \ud30c\uc774\uc36c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4. \uc774 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 BART \ubfd0\ub9cc \uc544\ub2c8\ub77c BERT, GPT-2, T5 \ub4f1 \ub2e4\uc591\ud55c \ubaa8\ub378\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4. \ucd94\uac00\ub85c, \ubaa8\ub378 \uc0ac\uc6a9 \ubc0f \ud6c8\ub828\uc744 \uc704\ud55c \uace0\uae09 API\uc640 \ud234\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n

1. BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815\ud558\uae30<\/h2>\n

1.1. \ud658\uacbd \uc124\uc815<\/h3>\n

BART\ub97c \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 Python\uacfc Hugging Face Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub97c \ud1b5\ud574 \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

pip install transformers torch<\/code><\/pre>\n
\uc704 \uba85\ub839\uc5b4\ub97c \uc2e4\ud589\ud558\uba74 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 PyTorch \uc124\uce58\uac00 \uc644\ub8cc\ub429\ub2c8\ub2e4.<\/p>\n
1.2. \uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30<\/h3>\n
\uc0ac\uc804 \ud559\uc2b5\ub41c BART \ubaa8\ub378\uc744 \ubd88\ub7ec\uc624\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. \uba3c\uc800 transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0\uc11c BART \ubaa8\ub378\uacfc tokenizer\ub97c \uac00\uc838\uc640\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc774\ub97c \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\nfrom transformers import BartTokenizer, BartForConditionalGeneration\n\n# BART \ubaa8\ub378\uacfc tokenizer \ubd88\ub7ec\uc624\uae30\ntokenizer = BartTokenizer.from_pretrained('facebook\/bart-large')\nmodel = BartForConditionalGeneration.from_pretrained('facebook\/bart-large')\n<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\uc5d0\uc11c\ub294 ‘facebook\/bart-large’\ub77c\ub294 \uc0ac\uc804 \ud559\uc2b5\ub41c BART \ubaa8\ub378\uc744 \ubd88\ub7ec\uc635\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uace0\uae09 \uc790\uc5f0\uc5b4 \uc0dd\uc131 \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
2. BART\ub97c \uc774\uc6a9\ud55c \ud14d\uc2a4\ud2b8 \uc694\uc57d\ud558\uae30<\/h2>\n
BART\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8 \uc694\uc57d \uc791\uc5c5\uc744 \uc9c4\ud589\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \uc608\uc81c\ub97c \ud1b5\ud574 \uc785\ub825\ub41c \uae34 \ubb38\uc7a5\uc744 \uc9e7\uc740 \uc694\uc57d\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n
2.1. \uc608\uc81c \ub370\uc774\ud130 \uc900\ube44\ud558\uae30<\/h3>\n
\ntext = \"\"\"\n\ub525\ub7ec\ub2dd\uc740 \uae30\uacc4 \ud559\uc2b5\uc758 \ud55c \ubd84\uc57c\ub85c, \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucef4\ud4e8\ud130\uac00 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4.\n\ub525\ub7ec\ub2dd\uc740 \uc774\ubbf8\uc9c0 \uc778\uc2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc74c\uc131 \uc778\uc2dd \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc0ac\uc6a9\ub418\uba70,\n\ud2b9\ud788 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc640 \uac15\ub825\ud55c \ucef4\ud4e8\ud305 \ud30c\uc6cc\uc758 \uc870\ud569\uc5d0 \uc758\ud574 \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uae09\uaca9\ud55c \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4.\n\"\"\"\n<\/code><\/pre>\n
2.2. \uc785\ub825 \ud14d\uc2a4\ud2b8 \uc804\ucc98\ub9ac\ud558\uae30<\/h3>\n
\uc785\ub825 \ud14d\uc2a4\ud2b8\ub294 \ubaa8\ub378\uc774 \uc774\ud574\ud560 \uc218 \uc788\ub294 \ud615\uc2dd\uc73c\ub85c encoding\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc774\ub97c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ninputs = tokenizer(text, return_tensors='pt', max_length=1024, truncation=True)\n<\/code><\/pre>\n
2.3. \ubaa8\ub378\uc744 \ud1b5\ud574 \uc694\uc57d \uc0dd\uc131\ud558\uae30<\/h3>\n
\uc804\ucc98\ub9ac\uac00 \uc644\ub8cc\ub41c \uc785\ub825 \ub370\uc774\ud130\ub97c \ubc14\ud0d5\uc73c\ub85c \ubaa8\ub378\uc744 \ud1b5\ud574 \uc694\uc57d\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n
\nsummary_ids = model.generate(inputs['input_ids'], num_beams=4, max_length=50, early_stopping=True)\nsummary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)\nprint(summary)\n<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub294 BART \ubaa8\ub378\uc744 \ud1b5\ud574 \uc694\uc57d\uc744 \uc0dd\uc131\ud558\uace0, \uadf8 \uacb0\uacfc\ub97c \ucd9c\ub825\ud569\ub2c8\ub2e4. num_beams<\/strong> \ub9e4\uac1c\ubcc0\uc218\ub294 \ube54 \uc11c\uce58\ub97c \uc704\ud55c \uc124\uc815\uac12\uc73c\ub85c, \ub354 \uc88b\uc740 \uc694\uc57d \uacb0\uacfc\ub97c \uc5bb\uae30 \uc704\ud574 \ub192\uc740 \uac12\uc744 \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
3. BART Fine-tuning \ud558\uae30<\/h2>\n
\ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ub354\uc6b1 \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud574 Fine-tuning \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Fine-tuning\uc740 \ud2b9\uc815 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\uc744 \ub2e4\uc2dc \ud6c8\ub828\ud558\ub294 \uacfc\uc815\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/p>\n
3.1. \ub370\uc774\ud130\uc14b \uc900\ube44\ud558\uae30<\/h3>\n
Fine-tuning\uc744 \uc704\ud574\uc11c\ub294 \ud6c8\ub828 \ub370\uc774\ud130\uc14b\uacfc \uac80\uc99d \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 \uc608\uc2dc \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.<\/p>\n
\n# \uc608\uc2dc \ub370\uc774\ud130\uc14b\ntrain_data = [\n    {\"input\": \"\ub525\ub7ec\ub2dd\uc740 \uae30\uacc4 \ud559\uc2b5\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4.\", \"target\": \"\ub525\ub7ec\ub2dd\"},\n    {\"input\": \"\uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\uc220\uc774 \ubc1c\uc804\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.\", \"target\": \"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\"},\n]\n\ntrain_texts = [item[\"input\"] for item in train_data]\ntrain_summaries = [item[\"target\"] for item in train_data]\n<\/code><\/pre>\n
3.2. \ub370\uc774\ud130\uc14b\uc744 \ud150\uc11c\ub85c \ubcc0\ud658\ud558\uae30<\/h3>\n
\ud6c8\ub828 \ub370\uc774\ud130\ub97c BART \ubaa8\ub378\uc5d0 \uc785\ub825\ud560 \uc218 \uc788\ub3c4\ub85d \ud150\uc11c\ub85c \ubcc0\ud658\ud558\ub294 \uacfc\uc815\ub3c4 \ud544\uc694\ud569\ub2c8\ub2e4. \uc544\ub798\uc640 \uac19\uc774 \uc9c4\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ntrain_encodings = tokenizer(train_texts, truncation=True, padding=True, return_tensors='pt')\ntrain_labels = tokenizer(train_summaries, truncation=True, padding=True, return_tensors='pt')['input_ids']\ntrain_labels[train_labels == tokenizer.pad_token_id] = -100  # \ud328\ub529 \ub9c8\uc2a4\ud06c \uc124\uc815\n<\/code><\/pre>\n
3.3. Trainer \ucd08\uae30\ud654 \ubc0f Fine-tuning \uc9c4\ud589\ud558\uae30<\/h3>\n
Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 Trainer\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 Fine-tuning \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\nfrom transformers import Trainer, TrainingArguments\n\n# \ud6c8\ub828 \uc778\uc790 \uc124\uc815\ntraining_args = TrainingArguments(\n    output_dir='.\/results',\n    num_train_epochs=3,\n    per_device_train_batch_size=2,\n    save_total_limit=2,\n)\n\n# Trainer \ucd08\uae30\ud654\ntrainer = Trainer(\n    model=model,\n    args=training_args,\n    train_dataset=train_encodings,  # \ud6c8\ub828 \ub370\uc774\ud130\uc14b\n)\n\n# \ubaa8\ub378 Fine-tuning \uc2dc\uc791\ntrainer.train()\n<\/code><\/pre>\n
\uc704 \ucf54\ub4dc\ub294 \ubaa8\ub378\uc744 Fine-tuning \ud558\ub294 \uacfc\uc815\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. num_train_epochs<\/strong>\ub294 \ud6c8\ub828 \ub8e8\ud504\ub97c \uba87 \ubc88 \ub3c4\ub294\uc9c0\ub97c \uc124\uc815\ud569\ub2c8\ub2e4.<\/p>\n
\uacb0\ub860<\/h2>\n
BART \ubaa8\ub378\uc740 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc791\uc5c5\uc5d0 \ud6a8\uacfc\uc801\uc73c\ub85c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc73c\uba70, Hugging Face\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud1b5\ud574 \uac04\ud3b8\ud558\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 BART \ubaa8\ub378\uc758 \uc124\uc815\ubd80\ud130 \uc694\uc57d \uc0dd\uc131, Fine-tuning\uae4c\uc9c0\uc758 \uacfc\uc815\uc744 \ubc30\uc6cc\ubcf4\uc558\uc2b5\ub2c8\ub2e4.<\/p>\n
\uc790\uc138\ud55c \ub0b4\uc6a9\uacfc \ub354 \ub9ce\uc740 \uc608\uc81c\ub294 Hugging Face\uc758 \uacf5\uc2dd \ubb38\uc11c\ub97c \ucc38\uc870\ud558\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
BART(Bidirectional and Auto-Regressive Transformers)\ub780 \ubb34\uc5c7\uc778\uac00? BART\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing) \uc791\uc5c5\uc744 \uc704\ud574 \uc124\uacc4\ub41c \ub525\ub7ec\ub2dd \ubaa8\ub378\ub85c, \ud398\uc774\uc2a4\ubd81 AI Research\uc5d0\uc11c \uac1c\ubc1c\ud558\uc600\uc2b5\ub2c8\ub2e4. BART\ub294 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub97c \uac00\uc9c0\uba70, \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 BART\ub294 \ud14d\uc2a4\ud2b8 \uc694\uc57d, \ubc88\uc5ed, \uc9c8\ubb38 \uc751\ub2f5 \ubc0f \ubb38\uc11c \uc0dd\uc131\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub780? \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5\ub41c \uc5b8\uc5b4 … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30”<\/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":[30],"tags":[],"class_list":["post-29520","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"\n\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30 - \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\/29520\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"BART(Bidirectional and Auto-Regressive Transformers)\ub780 \ubb34\uc5c7\uc778\uac00? BART\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing) \uc791\uc5c5\uc744 \uc704\ud574 \uc124\uacc4\ub41c \ub525\ub7ec\ub2dd \ubaa8\ub378\ub85c, \ud398\uc774\uc2a4\ubd81 AI Research\uc5d0\uc11c \uac1c\ubc1c\ud558\uc600\uc2b5\ub2c8\ub2e4. BART\ub294 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub97c \uac00\uc9c0\uba70, \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 BART\ub294 \ud14d\uc2a4\ud2b8 \uc694\uc57d, \ubc88\uc5ed, \uc9c8\ubb38 \uc751\ub2f5 \ubc0f \ubb38\uc11c \uc0dd\uc131\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub780? \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5\ub41c \uc5b8\uc5b4 … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29520\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:15+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:52:26+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\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29520\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29520\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30\",\"datePublished\":\"2024-10-28T01:55:15+00:00\",\"dateModified\":\"2024-11-26T06:52:26+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29520\/\"},\"wordCount\":67,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29520\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29520\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#website\"},\"datePublished\":\"2024-10-28T01:55:15+00:00\",\"dateModified\":\"2024-11-26T06:52:26+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29520\/#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/atmokpo.com\/w\/29520\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/atmokpo.com\/w\/29520\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\ud648\",\"item\":\"https:\/\/atmokpo.com\/w\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/atmokpo.com\/w\/#website\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/atmokpo.com\/w\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ko-KR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\",\"name\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\",\"url\":\"https:\/\/atmokpo.com\/w\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"contentUrl\":\"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png\",\"width\":400,\"height\":400,\"caption\":\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\"},\"image\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/bebubo4\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\",\"name\":\"root\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g\",\"caption\":\"root\"},\"sameAs\":[\"http:\/\/atmokpo.com\/w\"],\"url\":\"https:\/\/atmokpo.com\/w\/author\/root\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/atmokpo.com\/w\/29520\/","og_locale":"ko_KR","og_type":"article","og_title":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","og_description":"BART(Bidirectional and Auto-Regressive Transformers)\ub780 \ubb34\uc5c7\uc778\uac00? BART\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing) \uc791\uc5c5\uc744 \uc704\ud574 \uc124\uacc4\ub41c \ub525\ub7ec\ub2dd \ubaa8\ub378\ub85c, \ud398\uc774\uc2a4\ubd81 AI Research\uc5d0\uc11c \uac1c\ubc1c\ud558\uc600\uc2b5\ub2c8\ub2e4. BART\ub294 \uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870\ub97c \uac00\uc9c0\uba70, \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788 BART\ub294 \ud14d\uc2a4\ud2b8 \uc694\uc57d, \ubc88\uc5ed, \uc9c8\ubb38 \uc751\ub2f5 \ubc0f \ubb38\uc11c \uc0dd\uc131\uacfc \uac19\uc740 \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub780? \ud5c8\uae45\ud398\uc774\uc2a4\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub2e4\uc591\ud55c \uc0ac\uc804 \ud559\uc2b5\ub41c \uc5b8\uc5b4 … \ub354 \ubcf4\uae30 \"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30\"","og_url":"https:\/\/atmokpo.com\/w\/29520\/","og_site_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","article_published_time":"2024-10-28T01:55:15+00:00","article_modified_time":"2024-11-26T06:52:26+00:00","author":"root","twitter_card":"summary_large_image","twitter_creator":"@bebubo4","twitter_site":"@bebubo4","twitter_misc":{"\uae00\uc4f4\uc774":"root","\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04":"1\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/atmokpo.com\/w\/29520\/#article","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/29520\/"},"author":{"name":"root","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7"},"headline":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30","datePublished":"2024-10-28T01:55:15+00:00","dateModified":"2024-11-26T06:52:26+00:00","mainEntityOfPage":{"@id":"https:\/\/atmokpo.com\/w\/29520\/"},"wordCount":67,"publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"articleSection":["\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9"],"inLanguage":"ko-KR"},{"@type":"WebPage","@id":"https:\/\/atmokpo.com\/w\/29520\/","url":"https:\/\/atmokpo.com\/w\/29520\/","name":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","isPartOf":{"@id":"https:\/\/atmokpo.com\/w\/#website"},"datePublished":"2024-10-28T01:55:15+00:00","dateModified":"2024-11-26T06:52:26+00:00","breadcrumb":{"@id":"https:\/\/atmokpo.com\/w\/29520\/#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atmokpo.com\/w\/29520\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/atmokpo.com\/w\/29520\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\ud648","item":"https:\/\/atmokpo.com\/w\/en\/"},{"@type":"ListItem","position":2,"name":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BART \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uc815 \ubc0f \uc0ac\uc804\ud559\uc2b5 \ubaa8\ub378 \ubd88\ub7ec\uc624\uae30"}]},{"@type":"WebSite","@id":"https:\/\/atmokpo.com\/w\/#website","url":"https:\/\/atmokpo.com\/w\/","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","description":"","publisher":{"@id":"https:\/\/atmokpo.com\/w\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atmokpo.com\/w\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Organization","@id":"https:\/\/atmokpo.com\/w\/#organization","name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","url":"https:\/\/atmokpo.com\/w\/","logo":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/","url":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","contentUrl":"https:\/\/atmokpo.com\/w\/wp-content\/uploads\/2024\/11\/logo.png","width":400,"height":400,"caption":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8"},"image":{"@id":"https:\/\/atmokpo.com\/w\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/bebubo4"]},{"@type":"Person","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7","name":"root","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/atmokpo.com\/w\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/708197b41fc6435a7ce22d951b25d4a47e9e904270cb1f04682d4f025066f80c?s=96&d=mm&r=g","caption":"root"},"sameAs":["http:\/\/atmokpo.com\/w"],"url":"https:\/\/atmokpo.com\/w\/author\/root\/"}]}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29520","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=29520"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29520\/revisions"}],"predecessor-version":[{"id":29521,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/29520\/revisions\/29521"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=29520"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=29520"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=29520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}