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(Mixture of Experts) 현존 최강 LLM인 GPT-4에서 “MoE (Mixture of Experts)” 방식을 채택하여 사용하고 있다고 알려졌는데요, 최근 AI계의 뜨거운 감자 Mistral AI…","frontmatter":{"title":"What is MoE? 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Named Entity Recognition (NER) NLP 기술을 이용하면 꽤나 정교한 텍스트 분석이 가능합니다. 텍스트 분석에서 빼놓으면 섭섭한 녀석이\n개체명 인식(Named Entity…","frontmatter":{"title":"Sooftware NLP - 문장의 개체명을 분석해보자! 개체명 인식, Named Entity Recognition (NER)","date":"2022-07-22T10:00:00.000Z","tags":["nlp"],"series":"AI 개념","draft":null,"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#e8e8f8","images":{"fallback":{"src":"/static/01d4a9f47ebedc8659d5dbceec3ef25c/87706/ner.png","srcSet":"/static/01d4a9f47ebedc8659d5dbceec3ef25c/0dee1/ner.png 750w,\n/static/01d4a9f47ebedc8659d5dbceec3ef25c/8beaa/ner.png 1080w,\n/static/01d4a9f47ebedc8659d5dbceec3ef25c/87706/ner.png 1280w","sizes":"100vw"},"sources":[{"srcSet":"/static/01d4a9f47ebedc8659d5dbceec3ef25c/a66aa/ner.webp 750w,\n/static/01d4a9f47ebedc8659d5dbceec3ef25c/65dd5/ner.webp 1080w,\n/static/01d4a9f47ebedc8659d5dbceec3ef25c/71d4d/ner.webp 1280w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5625}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}}}]},"fields":{"readingTime":{"text":"10 min read"},"layout":"post","slug":"/ner/"}}},{"node":{"excerpt":"한국어 사전학습 모델 (Korean Pre-trained Language Model) 공개된 한국어 사전학습 모델을 기록합니다. 크게 아래 3개의 모델 계열로 구분했으며, 모델 사이즈는 정확하지 않을 수 있습니다. Encoder Model (BERT…","frontmatter":{"title":"Sooftware NLP - 한국어 사전학습 모델 (Korean Pre-trained Language Model)","date":"2022-07-12T10:00:00.000Z","tags":["nlp"],"series":"AI 개념","draft":false,"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#383848","images":{"fallback":{"src":"/static/2823decbecd34c6071cef2221f03b4ff/29ba9/bear.jpg","srcSet":"/static/2823decbecd34c6071cef2221f03b4ff/7284f/bear.jpg 750w,\n/static/2823decbecd34c6071cef2221f03b4ff/29ba9/bear.jpg 1080w","sizes":"100vw"},"sources":[{"srcSet":"/static/2823decbecd34c6071cef2221f03b4ff/57584/bear.webp 750w,\n/static/2823decbecd34c6071cef2221f03b4ff/984df/bear.webp 1080w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6666666666666666}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}}}]},"fields":{"readingTime":{"text":"4 min read"},"layout":"","slug":"/korean-plm/"}}},{"node":{"excerpt":"Decoding Strategy (디코딩 전략) 이번 포스팅에서는 자연어처리 모델의 디코딩 전략에 관해서 다뤄보려고 합니다. 디코딩이란 말처럼 디코딩은 디코더에서\n수행하는 작업입니다. 즉, BERT와 같은 인코더 모델에서 사용하는게 아니라 GPT…","frontmatter":{"title":"Sooftware NLP - Decoding Strategy (디코딩 전략)","date":"2022-01-15T10:00:00.000Z","tags":["nlp"],"series":"AI 개념","draft":false,"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#f8f8f8","images":{"fallback":{"src":"/static/43d0a11cfbaf2b0bf2571f5678e1ced5/68f14/decoding.png","srcSet":"/static/43d0a11cfbaf2b0bf2571f5678e1ced5/d0df2/decoding.png 750w,\n/static/43d0a11cfbaf2b0bf2571f5678e1ced5/fa96f/decoding.png 1080w,\n/static/43d0a11cfbaf2b0bf2571f5678e1ced5/ad399/decoding.png 1366w,\n/static/43d0a11cfbaf2b0bf2571f5678e1ced5/68f14/decoding.png 1400w","sizes":"100vw"},"sources":[{"srcSet":"/static/43d0a11cfbaf2b0bf2571f5678e1ced5/b9516/decoding.webp 750w,\n/static/43d0a11cfbaf2b0bf2571f5678e1ced5/c4814/decoding.webp 1080w,\n/static/43d0a11cfbaf2b0bf2571f5678e1ced5/2a401/decoding.webp 1366w,\n/static/43d0a11cfbaf2b0bf2571f5678e1ced5/db739/decoding.webp 1400w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5614285714285715}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}}}]},"fields":{"readingTime":{"text":"9 min read"},"layout":"","slug":"/generate/"}}},{"node":{"excerpt":"GPT (Generative Pre-trained Transformer) 1 gpt1 먼저 알아보고, gpt2에 대해 알아보겠습니다. 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Large Scale LM (2) Distributed Programming","date":"2021-11-22T11:00:00.000Z","tags":["nlp","parallelism","large-scale","lm"],"series":"AI 개념","draft":false,"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#f8f8f8","images":{"fallback":{"src":"/static/346eaa433ec4cadd1f537f0536913cd3/ca97d/big-model2.png","srcSet":"/static/346eaa433ec4cadd1f537f0536913cd3/260a8/big-model2.png 750w,\n/static/346eaa433ec4cadd1f537f0536913cd3/99085/big-model2.png 1080w,\n/static/346eaa433ec4cadd1f537f0536913cd3/cff5f/big-model2.png 1366w,\n/static/346eaa433ec4cadd1f537f0536913cd3/ca97d/big-model2.png 1920w","sizes":"100vw"},"sources":[{"srcSet":"/static/346eaa433ec4cadd1f537f0536913cd3/72019/big-model2.webp 750w,\n/static/346eaa433ec4cadd1f537f0536913cd3/acb5c/big-model2.webp 1080w,\n/static/346eaa433ec4cadd1f537f0536913cd3/41355/big-model2.webp 1366w,\n/static/346eaa433ec4cadd1f537f0536913cd3/a0759/big-model2.webp 1920w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.30885416666666665}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}}}]},"fields":{"readingTime":{"text":"17 min read"},"layout":"","slug":"/big-model2/"}}},{"node":{"excerpt":"Large Scale LM (1) Background 이 자료는 [해당 link…","frontmatter":{"title":"Sooftware NLP - Large Scale LM (1) Background","date":"2021-11-22T10:00:00.000Z","tags":["nlp","parallelism","large-scale","lm"],"series":"AI 개념","draft":false,"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#f8f8f8","images":{"fallback":{"src":"/static/d6ed5ee3d7d66b561a10d5ef112636a6/31d4c/big-model1.png","srcSet":"/static/d6ed5ee3d7d66b561a10d5ef112636a6/4ec63/big-model1.png 750w,\n/static/d6ed5ee3d7d66b561a10d5ef112636a6/2df19/big-model1.png 1080w,\n/static/d6ed5ee3d7d66b561a10d5ef112636a6/e3ec4/big-model1.png 1366w,\n/static/d6ed5ee3d7d66b561a10d5ef112636a6/31d4c/big-model1.png 1720w","sizes":"100vw"},"sources":[{"srcSet":"/static/d6ed5ee3d7d66b561a10d5ef112636a6/6c332/big-model1.webp 750w,\n/static/d6ed5ee3d7d66b561a10d5ef112636a6/03806/big-model1.webp 1080w,\n/static/d6ed5ee3d7d66b561a10d5ef112636a6/698e5/big-model1.webp 1366w,\n/static/d6ed5ee3d7d66b561a10d5ef112636a6/e01f3/big-model1.webp 1720w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.4872093023255814}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}}}]},"fields":{"readingTime":{"text":"5 min read"},"layout":"","slug":"/big-model1/"}}},{"node":{"excerpt":"NLP Metrics Confusion Matrix Confusion Matrix는 분류 모델을 평가할때 모델이 얼마나 정밀한지, 얼마나 실용적인 분류를 해냈는지, 얼마나 정확한 분류를 해냈는지에 대한 모든 내용을 포함하고 있습니다. Accuracy…","frontmatter":{"title":"Sooftware NLP - NLP Metrics","date":"2021-10-13T10:00:00.000Z","tags":["nlp","metric"],"series":"AI 개념","draft":false,"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#f8f8f8","images":{"fallback":{"src":"/static/1edcc9c2169958556ac8c9ac51ec28de/a5b23/cm.png","srcSet":"/static/1edcc9c2169958556ac8c9ac51ec28de/ea251/cm.png 750w,\n/static/1edcc9c2169958556ac8c9ac51ec28de/a5b23/cm.png 860w","sizes":"100vw"},"sources":[{"srcSet":"/static/1edcc9c2169958556ac8c9ac51ec28de/678bf/cm.webp 750w,\n/static/1edcc9c2169958556ac8c9ac51ec28de/d78b9/cm.webp 860w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.5034883720930232}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}}}]},"fields":{"readingTime":{"text":"14 min read"},"layout":"","slug":"/metric/"}}},{"node":{"excerpt":"한국어 Tacotron2 이번 포스팅에서는 Tacotron2 아키텍처로 한국어 TTS 시스템을 만드는 방법에 대해 다루겠습니다. Tacotron2 Tacotron2는 17년 12월 구글이 NATURAL TTS SYNTHESIS BY…","frontmatter":{"title":"Sooftware Speech - 한국어 Tacotron2","date":"2021-10-10T10:00:00.000Z","tags":["speech"],"series":"AI 개념","draft":false,"excerpt":null,"image":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#088888","images":{"fallback":{"src":"/static/e9cad4ecf1e3aecef2e65e59546b10e3/7bcb3/taco.png","srcSet":"/static/e9cad4ecf1e3aecef2e65e59546b10e3/ea847/taco.png 750w,\n/static/e9cad4ecf1e3aecef2e65e59546b10e3/7bcb3/taco.png 1000w","sizes":"100vw"},"sources":[{"srcSet":"/static/e9cad4ecf1e3aecef2e65e59546b10e3/57584/taco.webp 750w,\n/static/e9cad4ecf1e3aecef2e65e59546b10e3/323e8/taco.webp 1000w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.666}}},"author":[{"id":"Soohwan Kim","bio":"Co-founder/A.I. engineer at TUNiB.","avatar":{"childImageSharp":{"gatsbyImageData":{"layout":"fullWidth","backgroundColor":"#282838","images":{"fallback":{"src":"/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png","srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/248f9/soohwan.png 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/fd435/soohwan.png 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/0d6f4/soohwan.png 120w","sizes":"100vw"},"sources":[{"srcSet":"/static/a9e6b445142b247ee4cfa66155398bb2/e7f45/soohwan.webp 40w,\n/static/a9e6b445142b247ee4cfa66155398bb2/589ec/soohwan.webp 80w,\n/static/a9e6b445142b247ee4cfa66155398bb2/71a38/soohwan.webp 120w","type":"image/webp","sizes":"100vw"}]},"width":1,"height":0.6833333333333333}}}}]},"fields":{"readingTime":{"text":"11 min read"},"layout":"","slug":"/korean_tacotron2/"}}}]}},"pageContext":{"series":"AI 개념","slug":"ai-concepts","limit":10,"skip":0,"numPages":3,"currentPage":1}},
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