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\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 \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":25269,"url":"https:\/\/atmokpo.com\/w\/25269\/","url_meta":{"origin":25445,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378 (Neural Network Language Model, NNLM)","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 \ucd5c\uadfc \uba87 \ub144\uac04 \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc5d0\uc11c \ub525 \ub7ec\ub2dd(deep learning)\uc758 \ubc1c\uc804\uc740 \ub9e4\uc6b0 \ub208\ubd80\uc2e0 \ubcc0\ud654\uc640 \ud601\uc2e0\uc744 \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc740 \ud2b9\ud788 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc73c\uba70, \uadf8\uc5d0 \ub530\ub77c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378(Neural Network Language\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":25445,"position":4},"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":25423,"url":"https:\/\/atmokpo.com\/w\/25423\/","url_meta":{"origin":25445,"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 \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":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25445","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=25445"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25445\/revisions"}],"predecessor-version":[{"id":25446,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25445\/revisions\/25446"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=25445"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=25445"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=25445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":25445,"date":"2024-10-26T09:55:13","date_gmt":"2024-10-26T09:55:13","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25445"},"modified":"2024-11-26T08:01:43","modified_gmt":"2024-11-26T08:01:43","slug":"%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-%ec%a7%80%ed%94%bc%ed%8b%b0generative-pre-trained-transformer-gpt","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25445\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc9c0\ud53c\ud2f0(Generative Pre-trained Transformer, GPT)"},"content":{"rendered":"

<\/p>\n

\uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uba38\uc2e0\ub7ec\ub2dd(ML)\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uae09\uc18d\ub3c4\ub85c \ubc1c\uc804\ud558\uba70 \uc5ec\ub7ec \uc0b0\uc5c5 \ubd84\uc57c\uc5d0 \uac15\ub825\ud55c \uc601\ud5a5\uc744 \ubbf8\uce58\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \ub525 \ub7ec\ub2dd(Deep Learning)\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\uc5d0\uc11c \ub180\ub77c\uc6b4 \uc131\uacfc\ub97c \uc774\ub8e8\uc5b4\ub0b4\uace0 \uc788\uc8e0. \ud2b9\ud788, Generative Pre-trained Transformer(GPT) \ubaa8\ub378\uc740 \uc774\ub7ec\ud55c \ubc1c\uc804\uc758 \uc0c1\uc9d5\uacfc\ub3c4 \uac19\uc740 \uc874\uc7ac\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc1c\uc804\uc744 \uc0b4\ud3b4\ubcf4\uba70, GPT \ubaa8\ub378\uc758 \uad6c\uc870\uc640 \uc791\ub3d9 \uc6d0\ub9ac\ub97c \uae4a\uc774 \uc788\uac8c \ud0d0\uad6c\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub780?<\/h2>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc6b0\ub9ac\uc758 \uc77c\uc0c1 \uc0dd\ud65c\uc5d0\uc11c \uc0ac\uc6a9\ud558\ub294 \uc5b8\uc5b4\ub97c \ucef4\ud4e8\ud130\uac00 \uc778\uc2dd\ud558\uace0 \ucc98\ub9ac\ud558\ub3c4\ub85d \ub9cc\ub4e4\uae30 \uc704\ud574\uc11c\ub294 \uc5b8\uc5b4\uc758 \uad6c\uc870\uc640 \uc758\ubbf8\ub97c \uc774\ud574\ud574\uc57c \ud569\ub2c8\ub2e4. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e4\uc591\ud55c \uc791\uc5c5\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4:<\/p>\n

\uc5b8\uc5b4 \ubaa8\ub378\ub9c1<\/li>\n
\ub2e8\uc5b4 \uc784\ubca0\ub529<\/li>\n
\uac10\uc815 \ubd84\uc11d<\/li>\n
\uae30\uacc4 \ubc88\uc5ed<\/li>\n
\uc9c8\ubb38 \uc751\ub2f5 \uc2dc\uc2a4\ud15c<\/li>\n

\ud14d\uc2a4\ud2b8 \uc694\uc57d<\/li>\n<\/ul>\n

2. \ub525 \ub7ec\ub2dd\uc758 \uae30\ubcf8 \uac1c\ub150<\/h2>\n

\ub525 \ub7ec\ub2dd\uc740 \uc778\uacf5\uc2e0\uacbd\ub9dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc5d0\uc11c \ud2b9\uc9d5\uc744 \ud559\uc2b5\ud558\ub294 \uae30\uacc4 \ud559\uc2b5\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \uc804\ud1b5\uc801\uc778 \uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uacfc \ube44\uad50\ud558\uc5ec, \ub525 \ub7ec\ub2dd\uc740 \ub2e4\uce35 \uc2e0\uacbd\ub9dd\uc744 \ud1b5\ud574 \uc5d0\uc9c0 \ucf00\uc774\uc2a4\ub97c \uc798 \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd\uc758 \uae30\ubcf8 \uac1c\ub150\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n

\uc2e0\uacbd\ub9dd(Neural Network): \uc778\uac04\uc758 \ub1cc \uad6c\uc870\ub97c \ubaa8\ubc29\ud55c \uc218\ud559\uc801 \ubaa8\ub378\ub85c\uc11c, \uc785\ub825\uce35, \uc740\ub2c9\uce35, \ucd9c\ub825\uce35\uc73c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4.<\/li>\n
\uc5ed\uc804\ud30c(Backpropagation): \uc2e0\uacbd\ub9dd\uc758 \ud559\uc2b5\uc5d0\uc11c \uc624\ub958\ub97c \ucd5c\uc18c\ud654\ud558\uae30 \uc704\ud574 \uac00\uc911\uce58\ub97c \uc870\uc815\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/li>\n

\ub4dc\ub86d\uc544\uc6c3(Dropout): \uacfc\uc801\ud569\uc744 \ubc29\uc9c0\ud558\uae30 \uc704\ud574 \ud559\uc2b5 \uacfc\uc815\uc5d0\uc11c \uc77c\ubd80 \ub274\ub7f0\uc744 \ubb34\uc791\uc704\ub85c \uc81c\uc678\ud558\ub294 \uae30\ubc95\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n

3. Transformer \uc18c\uac1c<\/h2>\n

Transformer\ub294 2017\ub144 \uad6c\uae00\uc5d0\uc11c \ubc1c\ud45c\ub41c \ubaa8\ub378\ub85c, NLP \ucc98\ub9ac\uc5d0 \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc654\uc2b5\ub2c8\ub2e4. Transformer \ubaa8\ub378\uc758 \uc8fc\uc694 \ud2b9\uc9d5\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n

\uc140\ud504 \uc5b4\ud150\uc158(Self-Attention) \uba54\ucee4\ub2c8\uc998: \ubb38\uc7a5 \ub0b4\uc758 \ub2e8\uc5b4 \uac04\uc758 \uad00\uacc4\ub97c \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\ubcd1\ub82c \ucc98\ub9ac: \uae30\uc874\uc758 \uc21c\ud658 \uc2e0\uacbd\ub9dd(RNN)\ubcf4\ub2e4 \ub370\uc774\ud130 \ucc98\ub9ac \uc18d\ub3c4\uac00 \ud6e8\uc52c \ube60\ub985\ub2c8\ub2e4.<\/li>\n

\uc778\ucf54\ub354-\ub514\ucf54\ub354 \uad6c\uc870: \ubb38\uc7a5\uc744 \uc778\ucf54\ub529\ud558\uc5ec \uc758\ubbf8\ub97c \ud30c\uc545\ud558\uace0, \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \uc0c8\ub85c\uc6b4 \ubb38\uc7a5\uc744 \uc0dd\uc131\ud558\ub294 \uad6c\uc870\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n

4. Generative Pre-trained Transformer (GPT)\ub780?<\/h2>\n

GPT\ub294 OpenAI\uc5d0\uc11c \uc81c\uc548\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\ub85c, \uc0ac\uc804 \ud6c8\ub828(pre-training)\uacfc \uc815\uc81c(fine-tuning) \ub2e8\uacc4\ub97c \uac70\uccd0 \ub2e4\uc591\ud55c NLP \ubb38\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. GPT\uc758 \uc791\ub3d9 \ubc29\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n

\uc0ac\uc804 \ud6c8\ub828(Pre-training):<\/strong> \ub300\ub7c9\uc758 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ud65c\uc6a9\ud558\uc5ec \uc5b8\uc5b4 \ubaa8\ub378\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc774 \ub2e8\uacc4\uc5d0\uc11c\ub294 \uc8fc\ub85c \ube44\uc9c0\ub3c4 \ud559\uc2b5 \ubc29\uc2dd\uc774 \uc0ac\uc6a9\ub418\uc5b4, \ubaa8\ub378\uc774 \uc5b8\uc5b4\uc758 \ud1b5\uacc4\uc801 \ud2b9\uc131\uc744 \ud30c\uc545\ud558\uac8c \ub429\ub2c8\ub2e4.<\/li>\n
\uc815\uc81c(Fine-tuning):<\/strong> \ud2b9\uc815 \uc791\uc5c5\uc5d0 \ub9de\ucd94\uc5b4 \ubaa8\ub378\uc744 \uc870\uc815\ud569\ub2c8\ub2e4. \uc218\uc9d1\ub41c \uc18c\ub7c9\uc758 \ub808\uc774\ube14\uc774 \uc788\ub294 \ub370\uc774\ud130\ub97c \uc774\uc6a9\ud574 \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0b5\ub2c8\ub2e4.<\/li>\n

\uc0dd\uc131(Generation):<\/strong> \ud6c8\ub828\ub41c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ud14d\uc2a4\ud2b8\ub97c \uc0dd\uc131\ud558\uac70\ub098 \uc9c8\ubb38\uc5d0 \ub300\ud55c \ub2f5\ubcc0\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
5. GPT \ubaa8\ub378\uc758 \uad6c\uc870<\/h2>\n
GPT \ubaa8\ub378\uc740 Transformer\uc758 \uc778\ucf54\ub354 \uad6c\uc870\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uae30\ubcf8\uc801\uc778 \uad6c\uc870\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\nclass GPT(nn.Module):\n def __init__(self, num_layers, num_heads, d_model, d_ff, vocab_size):\n super(GPT, self).__init__()\n self.embedding = nn.Embedding(vocab_size, d_model)\n self.transformer_blocks = nn.ModuleList(\n [TransformerBlock(d_model, num_heads, d_ff) for _ in range(num_layers)]\n )\n self.fc_out = nn.Linear(d_model, vocab_size)\n \n def forward(self, x):\n x = self.embedding(x)\n for block in self.transformer_blocks:\n x = block(x)\n return self.fc_out(x)\n<\/pre>\n
6. GPT\uc758 \uc131\ub2a5 \uc0ac\ub840<\/h2>\n
GPT \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4:<\/p>\n
\n
\uae30\uacc4 \ubc88\uc5ed:<\/strong> \ub2e4\uc591\ud55c \uc5b8\uc5b4 \uac04\uc758 \ubc88\uc5ed \uc791\uc5c5\uc5d0\uc11c \ub192\uc740 \uc815\ud655\ub3c4\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/li>\n
\uc9c8\ubb38 \uc751\ub2f5 \uc2dc\uc2a4\ud15c:<\/strong> \uc0ac\uc6a9\uc790\uc758 \uc9c8\ubb38\uc5d0 \ub300\ud574 \uc790\uc5f0\uc2a4\ub7fd\uace0 \uad00\ub828\uc131 \ub192\uc740 \ub2f5\ubcc0\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/li>\n
\ud14d\uc2a4\ud2b8 \uc0dd\uc131:<\/strong> \uc8fc\uc5b4\uc9c4 \uc8fc\uc81c\uc5d0 \ub300\ud574 \ucc3d\uc758\uc801\uc774\uace0 \uc77c\uad00\ub41c \ud14d\uc2a4\ud2b8\ub97c \uc791\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
7. \uacb0\ub860<\/h2>\n
\ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ud798\uc744 \uacb0\ud569\ud55c GPT \ubaa8\ub378\uc740 \uc778\uacf5\uc9c0\ub2a5\uc758 \uc0c8\ub85c\uc6b4 \uae30\uc900\uc744 \uc138\uc6b0\uace0 \uc788\uc2b5\ub2c8\ub2e4. Future \uc5f0\uad6c\uc640 \ubc1c\uc804\uc5d0 \uae30\ub300\ud558\uba70, GPT\uc640 \uac19\uc740 \ubaa8\ub378\uc774 \ub2e4\uc591\ud55c \uc0b0\uc5c5\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5\uc744 \uc9c0\ucf1c\ubd10\uc57c \ud560 \uac83\uc785\ub2c8\ub2e4. \uc774 \uae00\uc774 \uc5ec\ub7ec\ubd84\uc5d0\uac8c \ub525 \ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac, GPT\uc5d0 \ub300\ud55c \uae4a\uc774 \uc788\ub294 \uc774\ud574\uc744 \uc81c\uacf5\ud558\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4. \uc55e\uc73c\ub85c \ub354 \ub9ce\uc740 \ud601\uc2e0\uc774 \uae30\ub300\ub418\ub294 \uc774 \ubd84\uc57c\uc5d0\uc11c \uc5ec\ub7ec\ubd84\uc758 \uc9c0\uc18d\uc801\uc778 \uad00\uc2ec\uacfc \ucc38\uc5ec\ub97c \ubd80\ud0c1\ub4dc\ub9bd\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uba38\uc2e0\ub7ec\ub2dd(ML)\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \uae09\uc18d\ub3c4\ub85c \ubc1c\uc804\ud558\uba70 \uc5ec\ub7ec \uc0b0\uc5c5 \ubd84\uc57c\uc5d0 \uac15\ub825\ud55c \uc601\ud5a5\uc744 \ubbf8\uce58\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 \ub525 \ub7ec\ub2dd(Deep Learning)\uc740 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\uc5d0\uc11c \ub180\ub77c\uc6b4 \uc131\uacfc\ub97c \uc774\ub8e8\uc5b4\ub0b4\uace0 \uc788\uc8e0. \ud2b9\ud788, Generative Pre-trained Transformer(GPT) \ubaa8\ub378\uc740 \uc774\ub7ec\ud55c \ubc1c\uc804\uc758 \uc0c1\uc9d5\uacfc\ub3c4 \uac19\uc740 \uc874\uc7ac\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \ubc1c\uc804\uc744 \uc0b4\ud3b4\ubcf4\uba70, GPT \ubaa8\ub378\uc758 \uad6c\uc870\uc640 \uc791\ub3d9 \uc6d0\ub9ac\ub97c \uae4a\uc774 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc9c0\ud53c\ud2f0(Generative Pre-trained Transformer, GPT)”<\/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-25445","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, \uc9c0\ud53c\ud2f0(Generative Pre-trained Transformer, GPT) - \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\/25445\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" 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