{"id":29578,"date":"2024-10-28T01:55:32","date_gmt":"2024-10-28T01:55:32","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29578"},"modified":"2024-11-26T06:52:13","modified_gmt":"2024-11-26T06:52:13","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-dialogpt-%eb%aa%a8%eb%8d%b8diologe-text-pre-learning-model-%eb%b6%88","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29578\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, DialoGPT \ubaa8\ub378(Diologe Text Pre-Learning Model) \ubd88\ub7ec\uc624\uae30"},"content":{"rendered":"<p>\uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec DialoGPT(\ub300\ud654 \uc0dd\uc131 \ubaa8\ub378) \ub97c \ubd88\ub7ec\uc624\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. DialoGPT\ub294 \ub9c8\uc774\ud06c\ub85c\uc18c\ud504\ud2b8\uc5d0\uc11c \uac1c\ubc1c\ub41c \ub300\ud654\ud615 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\ub85c, \ub300\ud654\ub97c \uc0dd\uc131\ud558\ub294 \ub370\uc5d0 \ucd5c\uc801\ud654\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uc774 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc0ac\uc6a9\uc790\uc758 \uc785\ub825\uc5d0 \ub300\ud55c \uc751\ub2f5\uc744 \uc0dd\uc131\ud574\ubcfc \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h2>\ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378 \uc774\ud574\ud558\uae30<\/h2>\n<p>\ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc774\ub294 \ubaa8\ub378 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ud2b9\ud788 \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ud2b8\ub79c\uc2a4\ud3ec\uba38\ub294 \uc5ec\ub7ec NLP \uc791\uc5c5\uc5d0\uc11c \uc8fc\ubaa9\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\uc774 \uc798 \uc791\ub3d9\ud558\ub294 \uc774\uc720\ub294 &#8216;\uc5b4\ud150\uc158 \uba54\ucee4\ub2c8\uc998&#8217;\uc774\ub77c\ub294 \uac1c\ub150 \ub355\ubd84\uc785\ub2c8\ub2e4. \uc5b4\ud150\uc158\uc740 \uc785\ub825 \uc2dc\ud000\uc2a4\uc5d0\uc11c \uac01 \ub2e8\uc5b4\uac00 \ub2e4\ub978 \ub2e8\uc5b4\uc5d0 \uc5bc\ub9c8\ub098 \uc8fc\uc758\ub97c \uae30\uc6b8\uc5ec\uc57c \ud558\ub294\uc9c0\ub97c \uacb0\uc815\ud569\ub2c8\ub2e4. \uacb0\uacfc\uc801\uc73c\ub85c \ubcf4\ub2e4 \ud48d\ubd80\ud55c \ub9e5\ub77d \uc815\ubcf4\ub97c \ud65c\uc6a9\ud560 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4.<\/p>\n<h2>DialoGPT \uac1c\uc694<\/h2>\n<p>DialoGPT\ub294 \ub300\ud654\ud615 \uc2dc\ub098\ub9ac\uc624\ub97c \uc704\ud574 \uc124\uacc4\ub41c \ubaa8\ub378\ub85c, \ub300\ud654 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc0ac\uc804 \ud559\uc2b5\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 \uc6d0\ub798\uc758 GPT-2 \ubaa8\ub378\uc758 \uad6c\uc870\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uba70, \ub300\ud654\uc758 \ud750\ub984\uacfc \ubb38\ub9e5\uc744 \uc774\ud574\ud558\uace0 \uc815\uad50\ud55c \uc751\ub2f5\uc744 \uc0dd\uc131\ud558\ub294 \ub2a5\ub825\uc744 \uac16\ucd94\uace0 \uc788\uc2b5\ub2c8\ub2e4. DialoGPT\ub294 \ub2e4\uc591\ud55c \ub300\ud654 \uc2dc\ub098\ub9ac\uc624\uc5d0 \ub9de\ucdb0 Fine-tuning \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\ud658\uacbd \uc124\uc815<\/h2>\n<p>\uba3c\uc800, \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec transformers, torch, \uadf8\ub9ac\uace0 tqdm\uc744 \uc124\uce58\ud558\uc2ed\uc2dc\uc624.<\/p>\n<pre><code>pip install transformers torch tqdm<\/code><\/pre>\n<h2>\ubaa8\ub378 \ubd88\ub7ec\uc624\uae30<\/h2>\n<p>\ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uba74 DialoGPT \ubaa8\ub378\uc744 \uac04\ud3b8\ud558\uac8c \ubd88\ub7ec\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub97c \ucc38\uc870\ud558\uc5ec \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800\ub97c \ubd88\ub7ec\uc624\uc138\uc694.<\/p>\n<pre><code>from transformers import AutoModelForCausalLM, AutoTokenizer\n\n# \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800 \ubd88\ub7ec\uc624\uae30\ntokenizer = AutoTokenizer.from_pretrained(\"microsoft\/DialoGPT-medium\")\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft\/DialoGPT-medium\")<\/code><\/pre>\n<h2>\ub300\ud654 \uc0dd\uc131\uae30 \uad6c\ud604\ud558\uae30<\/h2>\n<p>\ubaa8\ub378\uc744 \ubd88\ub7ec\uc628 \ud6c4 \uc0ac\uc6a9\uc790\uc758 \uc785\ub825\uc744 \ubc1b\uc544\uc11c \ub300\ud654\ub97c \uc0dd\uc131\ud558\ub294 \uacfc\uc815\uc744 \uad6c\ud604\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub294 \uc0ac\uc6a9\uc790\ub85c\ubd80\ud130 \uc785\ub825\uc744 \ubc1b\uace0, DialoGPT\ub97c \ud1b5\ud574 \uc751\ub2f5\uc744 \uc0dd\uc131\ud558\ub294 \uac04\ub2e8\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>def generate_response(user_input):\n    # \uc0ac\uc6a9\uc790 \uc785\ub825\uc744 \ud1a0\ud070\ud654\n    new_user_input_ids = tokenizer.encode(user_input + tokenizer.eos_token, return_tensors='pt')\n\n    # \uc774\uc804 \ub300\ud654 \uc774\ub825\uc744 \ud3ec\ud568\ud558\uc5ec \uc751\ub2f5 \uc0dd\uc131\n    bot_input_ids = new_user_input_ids if 'bot_input_ids' not in locals() else torch.cat([bot_input_ids, new_user_input_ids], dim=-1)\n\n    # \uc751\ub2f5 \uc0dd\uc131\n    chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)\n\n    # \uc0dd\uc131\ub41c \uc751\ub2f5 \ub514\ucf54\ub529\n    bot_response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)\n    \n    return bot_response\n<\/code><\/pre>\n<h2>\ub300\ud654 \uc0dd\uc131 \uc608\uc81c<\/h2>\n<p>\uc608\ub97c \ub4e4\uc5b4, \uc0ac\uc6a9\uc790\uac00 &#8216;\uc548\ub155\ud558\uc138\uc694?&#8217;\ub77c\ub294 \uc9c8\ubb38\uc744 \ud588\uc744 \ub54c, \uc544\ub798\uc640 \uac19\uc740 \ubc29\uc2dd\uc73c\ub85c \uc751\ub2f5\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>user_input = \"\uc548\ub155\ud558\uc138\uc694?\"\nresponse = generate_response(user_input)\nprint(response)<\/code><\/pre>\n<h2>\uc0c1\ud0dc \uc720\uc9c0 \ubc0f \ub300\ud654 \uc774\ub825 \uad00\ub9ac<\/h2>\n<p>\uc55e\uc758 \uc608\uc81c\uc5d0\uc11c\ub294 \ub300\ud654 \uc774\ub825\uc744 \uc720\uc9c0\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\uc600\uc73c\ub098, \uacc4\uc18d\ud574\uc11c \uc720\uc9c0\ud558\ub824\uba74 \uc0c1\ud0dc\ub97c \uc798 \uad00\ub9ac\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc774\ub825\uc744 \uad00\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>chat_history_ids = None\n\nwhile True:\n    user_input = input(\"\ub2f9\uc2e0: \")\n    if user_input.lower() == \"exit\":\n        break\n    response = generate_response(user_input)\n    print(\"\ubd07:\", response)<\/code><\/pre>\n<h2>\uacb0\ub860<\/h2>\n<p>\uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 DialoGPT \ubaa8\ub378\uc744 \ubd88\ub7ec\uc624\uace0, \uc0ac\uc6a9\uc790 \uc785\ub825\uc5d0 \ub300\ud55c \ub300\ud654\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc774 \ubc29\uc2dd\uc740 \ub300\ud654\ud615 \uc11c\ube44\uc2a4 \uac1c\ubc1c\uc5d0 \ub9e4\uc6b0 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc73c\uba70, \ub354\uc6b1 \ubc1c\uc804\ub41c \ubaa8\ub378\uc744 \ud1b5\ud574 \uc0ac\uc6a9\uc790\uc640\uc758 \uc0c1\ud638\uc791\uc6a9\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc5d0\ub294 Fine-tuning \ubc29\ubc95\uc5d0 \ub300\ud574\uc11c\ub3c4 \ub2e4\ub8e8\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\ucc38\uace0\uc790\ub8cc<\/h2>\n<ul>\n<li><a href=\"https:\/\/huggingface.co\/transformers\/model_doc\/dialogpt.html\">Hugging Face DialoGPT Documentation<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/microsoft\/DialoGPT\">DialoGPT GitHub Repository<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1909.01315\">DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec DialoGPT(\ub300\ud654 \uc0dd\uc131 \ubaa8\ub378) \ub97c \ubd88\ub7ec\uc624\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. DialoGPT\ub294 \ub9c8\uc774\ud06c\ub85c\uc18c\ud504\ud2b8\uc5d0\uc11c \uac1c\ubc1c\ub41c \ub300\ud654\ud615 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\ub85c, \ub300\ud654\ub97c \uc0dd\uc131\ud558\ub294 \ub370\uc5d0 \ucd5c\uc801\ud654\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uc774 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud558\uc5ec \uc0ac\uc6a9\uc790\uc758 \uc785\ub825\uc5d0 \ub300\ud55c \uc751\ub2f5\uc744 \uc0dd\uc131\ud574\ubcfc \uac83\uc785\ub2c8\ub2e4. \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378 \uc774\ud574\ud558\uae30 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ubaa8\ub378\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubd84\uc57c\uc5d0\uc11c \uac00\uc7a5 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc774\ub294 \ubaa8\ub378 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ud2b9\ud788 \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/29578\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, DialoGPT \ubaa8\ub378(Diologe Text Pre-Learning Model) \ubd88\ub7ec\uc624\uae30&#8221;<\/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-29578","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, DialoGPT \ubaa8\ub378(Diologe Text Pre-Learning Model) \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\/29578\/\" \/>\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, DialoGPT \ubaa8\ub378(Diologe Text Pre-Learning Model) \ubd88\ub7ec\uc624\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc774\ubc88 \ud3ec\uc2a4\ud305\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub79c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec DialoGPT(\ub300\ud654 \uc0dd\uc131 \ubaa8\ub378) \ub97c \ubd88\ub7ec\uc624\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 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