METHOD FOR PRODUCTION OF FERMENTED PRODUCT USING NATURAL MATERIAL AND FOOD PRODUCT OR PRODUCT OF MEDICAL PURPOSE CONTAINING FERMENTED PRODUCT PRODUCED BY SUCH METHOD von CHO SEOG KHO, KIM TAE KHOJ, DZANG DZEONG KHOON, KIM CHUL DZIN, PARK DZEE VON

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Double-stranded RNA induces iNOS gene expression in Schwann cells, sensory neuronal death, and peripheral nerve demyelination von Lee, Hyunkyoung, Park, Chanhee, Cho, Ik-Hyun, Kim, Hyun Yeong, Jo, Eun-Kyeong, Lee, Soojin, Kho, Hong-Seop, Choi, Se-Young, Bae Oh, Seog, Park, Kyungpyo, Kim, Joong Soo, Lee, Sung Joong

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AI METHOD FOR IMPROVING ANSWER ACCURACY FOR GENERATIVE AI-BASED MULTIPLE QUESTIONS von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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RAG A SYSTEM FOR GENERATING ANSWERS TO MULTIPLE QUESTIONS USING RAG-BASED GENERATIVE ARTIFICIAL INTELLIGENCE TECHNOLOGY von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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METHOD FOR IMPROVING LEARNING AND INFERENCE SPEED OF GENERATIVE DEEP LEARNING MODEL THROUGH SPECIAL TOKEN USING DOMAIN DICTIONARY von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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APPARATUS FOR IMPROVING LEARNING AND INFERENCE SPEED OF GENERATIVE DEEP LEARNING MODEL THROUGH SINGLE TOKEN PROCESSING OF COMPOUND NOUNS von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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DEVICE FOR EXTRACTING QUESTION AND ANSWERIING DATASET BY COLLECTING POSTS FROM A SPECIFIC DOMAIN FOR LEARNING GENERATIVE DEEP LEARNING MODEL von KHO HYEONG SEOG, CHO CHANG HEE, LEE HONG JAE

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METHOD FOR AUTOMATICALLY CREATING TRAINING DATASET AND RETRAINING A GENERATIVE DEEP LEARNING MODEL THAT ANSWERS SPECIFIC DOMAIN-BASED QUESTIONS von KHO HYEONG SEOG, CHO CHANG HEE, LEE HONG JAE

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METHOD OF ALLOCATING CLOUD-BASED RESOURCE OF DEEP LEARNING MODEL ACCORDING TO USER QUERY INTENT von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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SYSTEM FOR CLOUD-BASED DEEP LEARNING MODEL RESOURCE SCHEDULING THROUGH QUERY INTENT CLASSIFICATION von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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METHOD FOR DYNAMICALLY SWITCHING DEEP LEARNING MODELS ACCORDING TO INFERENCE RESPONSE TIME TO USER QUERIES von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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GPU BATCH SCHEDULING METHOD FOR GENERATING MULTIPLE DEEP LEARNING MODEL BASED INFERENCE RESPONSES USING MULTI-GPU von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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SYSTEM FOR DEEP LEARNING MODEL DYNAMIC SWITCHING BASED ON INFERENCE RESPONSE TIME von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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AI SYSTEM FOR RECOMMENDING GOVERNMENT AND PUBLIC AGENCY CERTIFICATION AND AUTOMATING PROCESSING FOR EACH PRODUCT USING GENERATIVE AI MODEL AND METHOD THEREOF von KHO HYEONG SEOG, CHO CHANG HEE, LEE HONG JAE

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AI APPARATUS FOR AMPLIFYING TRAINING DATASET FOR DEEP LEARNING BASED GENERATIVE AI SYSTEM AND METHOD THEREOF von CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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RAG RAG-BASED SEARCH SYSTEM AND METHOD USING DOCUMENT-SPECIFIC PERMISSIONS OF META INFORMATION von KHO HYEONG SEOG, CHO CHANG HEE, HWANG SUNHEE, LEE HONG JAE

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OCR A METHOD FOR BUILDING DATASETS BY RECOGNIZING DOCUMENTS WITH A COMPLEX STRUCTURE INCLUDING TABLES USING DOCUMENT STRUCTURE TAGS WHEN PERFORMING OCR von HWANG SUNHEE, CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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DOCUMENT RECOGNITION DEVICE USING OPTICAL CHARACTER RECOGNITION AND DOCUMENT STRUCTURING TAGS FOR BUILDING AI LEARNING DATASET von HWANG SUNHEE, CHO CHANG HEE, KHO HYEONG SEOG, LEE HONG JAE

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A 37Ch Visible Adaptive Optics System for Wavefront Compensation von 이준호, Byung Tae Choi, Eung Cheol Kang, Hae Seog Kho, Ho Jung Cheon, Jae Il Lee, Joon Won Kim, Kyung Muk Lee, Sung Jin Kim, Young Cheol Lee, Young Il Cho

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바지락 (Ruditapes philippinarum) 의 중금속 축적에 관한 연구 von 이용석, 조용훈, 변인선, 강세원, 조은미, 한연수, 최상행, 박홍석, 고원규, 안인영, 정계헌, Lee, Yong-Seok, Jo, Yong-Hun, Byun, In-Sun, Kang, Se-Won, Cho, Eun-Mi, Han, Yeon-Soo, Choi, Sang-Haeng, Park, Hong-Seog, Kho, Weon-Gyu, Ahn, In-Young, Jeong, Kye-Heon

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