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    <title>Sehoon's Blog</title>
    <link>https://sehooni.github.io</link>
    <description>Sehoon's Technical Blog</description>
    <language>ko</language>
    <lastBuildDate>Mon, 22 Jun 2026 07:53:42 GMT</lastBuildDate>
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    <item>
      <title><![CDATA[[AI Hackathon] 2026 Gemini 3 Seoul Hackathon 본선(Top 6) 진출 회고: Alpha-Agent]]></title>
      <link>https://sehooni.github.io/blog/Projects/Hackathon/gemini-3-seoul-hackathon-alpha-agent/</link>
      <guid>https://sehooni.github.io/blog/Projects/Hackathon/gemini-3-seoul-hackathon-alpha-agent/</guid>
      <pubDate>Mon, 02 Mar 2026 00:00:00 GMT</pubDate>
      <description><![CDATA[1인 개발팀(Alpha_BioAgent)으로 참여한 Gemini 3 서울 해커톤 본선 회고 및 Google Antigravity 기반 자율 AI 연구원(Alpha-Agent) 개발기]]></description>
    </item>
    <item>
      <title><![CDATA[[AI Hackathon] 2025 LG Aimers 7기 AI Hackathon 회고]]></title>
      <link>https://sehooni.github.io/blog/Projects/Hackathon/ai-hackathon-2025-lg-aimers-7-ai-hackathon/</link>
      <guid>https://sehooni.github.io/blog/Projects/Hackathon/ai-hackathon-2025-lg-aimers-7-ai-hackathon/</guid>
      <pubDate>Tue, 06 Jan 2026 00:00:00 GMT</pubDate>
      <description><![CDATA[LG Aimers 7기 AI 해커톤 본선 진출(Finalist) 회고 및 N-HiTS와 군집 모델링 기반의 F&B 매장 매출 수요 예측 솔루션 공유]]></description>
    </item>
    <item>
      <title><![CDATA[[ML Study] 분류 모델의 핵심: 로지스틱 회귀와 소프트맥스 회귀]]></title>
      <link>https://sehooni.github.io/blog/AI/DL_ML/logistic-regression-and-softmax/</link>
      <guid>https://sehooni.github.io/blog/AI/DL_ML/logistic-regression-and-softmax/</guid>
      <pubDate>Tue, 02 Dec 2025 00:00:00 GMT</pubDate>
      <description><![CDATA[회귀에서 분류 모델로의 확장 과정, 학습 모니터링을 위한 Learning Curve, 과적합을 방지하는 규제(Regularization) 기법, 그리고 로지스틱 회귀와 소프트맥스 회귀의 수학적 원리 정리]]></description>
    </item>
    <item>
      <title><![CDATA[[ML Study] 선형 회귀와 최적화: 정규방정식부터 경사하강법(GD)까지]]></title>
      <link>https://sehooni.github.io/blog/AI/DL_ML/linear-regression-and-optimization/</link>
      <guid>https://sehooni.github.io/blog/AI/DL_ML/linear-regression-and-optimization/</guid>
      <pubDate>Tue, 25 Nov 2025 00:00:00 GMT</pubDate>
      <description><![CDATA[머신러닝의 기초인 선형 회귀(Linear Regression) 모델의 정의와 최적의 가중치를 찾기 위한 두 가지 학습 방법인 정규방정식 및 경사하강법(Gradient Descent)의 수학적 원리 정리]]></description>
    </item>
    <item>
      <title><![CDATA[[ML Study] 머신러닝 첫걸음: Classification 모델 완전정복 (1)]]></title>
      <link>https://sehooni.github.io/blog/AI/DL_ML/ML_Classification/</link>
      <guid>https://sehooni.github.io/blog/AI/DL_ML/ML_Classification/</guid>
      <pubDate>Tue, 30 Sep 2025 00:00:00 GMT</pubDate>
      <description><![CDATA[인공지능, 머신러닝, 딥러닝의 기본 개념을 정리하고, MNIST 데이터셋과 SGD 분류기를 활용한 이진 분류 모델 학습 및 정밀도, 재현율, F1-Score, ROC-AUC 등 성능 지표의 상세 분석]]></description>
    </item>
    <item>
      <title><![CDATA[[Paper Review] Geometric deep learning improves generalizability of MHC-bound peptide prediction]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/Geometric-deep-learning-MHC-peptide-prediction/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/Geometric-deep-learning-MHC-peptide-prediction/</guid>
      <pubDate>Mon, 30 Dec 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[기존 서열 기반 방식(SeqB)의 데이터 편향성과 일반화 오류 한계를 극복하기 위해 3D 구조 정보와 회전/이동 불변성(SE(3)-equivariance) 기반 기하학적 딥러닝(GDL) 및 자가지도학습(3D-SSL)을 적용한 pMHC 결합 예측 모델 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[LLM] RAG(Retrieval Augmented Generation)란 무엇인가]]></title>
      <link>https://sehooni.github.io/blog/AI/LLM/About_RAG/</link>
      <guid>https://sehooni.github.io/blog/AI/LLM/About_RAG/</guid>
      <pubDate>Wed, 02 Oct 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[대형 언어 모델(LLM)의 최신성 한계와 환각 현상을 해결하기 위한 검색 증강 생성(RAG) 기술의 개념, 파인튜닝과의 비교, 그리고 핵심 6단계 파이프라인 정리]]></description>
    </item>
    <item>
      <title><![CDATA[[AI Hackathon] 2024 Upstage Global AI week AI Hackathon 회고]]></title>
      <link>https://sehooni.github.io/blog/Projects/Hackathon/ai-hackathon-2024-upstage-global-ai-week-ai-hackathon/</link>
      <guid>https://sehooni.github.io/blog/Projects/Hackathon/ai-hackathon-2024-upstage-global-ai-week-ai-hackathon/</guid>
      <pubDate>Tue, 01 Oct 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[Upstage 주최 2024 Global AI Week - AI Hackathon에서 파이널리스트(Finalist)로 선정된 AGI 기반 지능형 서비스 및 RAG 최적화 구현기 회고]]></description>
    </item>
    <item>
      <title><![CDATA[[Paper Review] HighFold: Predicting cyclic peptide structures and complexes with head-to-tail and disulfide bridge constraints]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/HighFold-cyclic-peptide-structure-prediction/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/HighFold-cyclic-peptide-structure-prediction/</guid>
      <pubDate>Thu, 26 Sep 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[기존 단백질 구조 예측 모델이 처리하기 어려운 고리형 펩타이드(Cyclic Peptide)의 머리-꼬리 연결성 및 이황화 결합 구조적 형태를 Cyclic Position Offset Encoding Matrix(CycPOEM)로 극사화한 HighFold 모델 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[AI Hackathon] 2024 SmileGate FutureLab AI service weeklython 회고]]></title>
      <link>https://sehooni.github.io/blog/Projects/Hackathon/2024smilegate-futurelab-ai-service-weeklython-ai-driven-game-scenario-generator/</link>
      <guid>https://sehooni.github.io/blog/Projects/Hackathon/2024smilegate-futurelab-ai-service-weeklython-ai-driven-game-scenario-generator/</guid>
      <pubDate>Wed, 31 Jul 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[스마일게이트 퓨처랩 주최 제1회 AI 서비스 위클리톤에서 대상을 수상한 GPT-4o 파인튜닝 기반의 게임 시나리오 생성 서비스 개발기 및 해커톤 회고]]></description>
    </item>
    <item>
      <title><![CDATA[[Paper Review] MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/MSAGPT-generative-pretraining-protein-structure/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/MSAGPT-generative-pretraining-protein-structure/</guid>
      <pubDate>Fri, 28 Jun 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[희소한 상동 서열(orphan protein) 환경에서 단백질 구조 예측 한계를 극복하기 위해 다중 서열 정렬(MSA)을 생성 모델링으로 학습하고 AlphaFold2 피드백을 결합한 MSAGPT 프레임워크 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[Paper Review] GCPNet-EMA: Protein structure accuracy estimation using geometry-complete perceptron networks]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/GCPNet-EMA-protein-model-accuracy-estimation/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/GCPNet-EMA-protein-model-accuracy-estimation/</guid>
      <pubDate>Fri, 19 Apr 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[3차원 단백질 구조의 기하학적 정보와 회전/이동 불변성(SE(3)-equivariance)을 반영하는 geometry-complete perceptron network(GCPNet)를 도입하여 구조 모델 평가 속도와 신뢰도를 향상시킨 GCPNet-EMA 모델 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[Paper Review] Distance-AF: Modifying Predicted Protein Structure Models by AlphaFold2 with User-Specified Distance Constraints]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/Distance-AF-protein-structure-refinement/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/Distance-AF-protein-structure-refinement/</guid>
      <pubDate>Thu, 29 Feb 2024 00:00:00 GMT</pubDate>
      <description><![CDATA[AlphaFold2 구조 예측 모델에 사용자가 지정한 물리적 거리 제약조건(Distance Constraints)을 반영하여 도메인 방향성 및 다중 형태 변화 등을 최적화하는 Distance-AF 프레임워크 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[Paper Review] AlphaLink2: Modeling protein complexes with crosslinking mass spectrometry and deep learning]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/AlphaLink2-protein-complex-modeling/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/AlphaLink2-protein-complex-modeling/</guid>
      <pubDate>Fri, 15 Dec 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[AlphaFold-Multimer의 한계를 극복하기 위해 화학적 교차결합 질량분석(XL-MS) 데이터를 단백질 복합체 구조 예측 네트워크에 직접 결합하여 정확도를 향상시킨 AlphaLink2 알고리즘 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[Paper Review] diSBPred: A Machine Learning Based Approach for Disulfide Bond Prediction]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/diSBPred-disulfide-bond-prediction/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/diSBPred-disulfide-bond-prediction/</guid>
      <pubDate>Wed, 15 Nov 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[단백질 3차원 구조 예측 및 번역 후 변형 분석의 핵심 요소인 시스테인 잔기의 이황화 결합 상태 및 연결성을 다양한 서열/구조 기반 피처와 스태킹 앙상블 기법으로 예측하는 diSBPred 프레임워크 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[Proteomics] Percolator]]></title>
      <link>https://sehooni.github.io/blog/Proteomics/Percolator/</link>
      <guid>https://sehooni.github.io/blog/Proteomics/Percolator/</guid>
      <pubDate>Mon, 24 Apr 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Proteomics 수업 내용 정리 - Percolator]]></description>
    </item>
    <item>
      <title><![CDATA[[Proteomics] Peptide Identification - De novo sequencing]]></title>
      <link>https://sehooni.github.io/blog/Proteomics/PeptID_Denovo/</link>
      <guid>https://sehooni.github.io/blog/Proteomics/PeptID_Denovo/</guid>
      <pubDate>Thu, 30 Mar 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Proteomics 수업 내용 정리 - PeptID_Denovo]]></description>
    </item>
    <item>
      <title><![CDATA[[Proteomics] Peptide Identification - DB Search]]></title>
      <link>https://sehooni.github.io/blog/Proteomics/PeptID_DBSearch/</link>
      <guid>https://sehooni.github.io/blog/Proteomics/PeptID_DBSearch/</guid>
      <pubDate>Mon, 27 Mar 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Proteomics 수업 내용 정리 - PeptID_DBSearch]]></description>
    </item>
    <item>
      <title><![CDATA[[Proteomics] Introduction of Proteomics 2]]></title>
      <link>https://sehooni.github.io/blog/Proteomics/introduction_to_proteomics_MS/</link>
      <guid>https://sehooni.github.io/blog/Proteomics/introduction_to_proteomics_MS/</guid>
      <pubDate>Tue, 14 Mar 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Proteomics 수업 내용 정리 - Introduction of Proteomics 2]]></description>
    </item>
    <item>
      <title><![CDATA[[Proteomics] Introduction of Proteomics]]></title>
      <link>https://sehooni.github.io/blog/Proteomics/introduction_to_proteomics/</link>
      <guid>https://sehooni.github.io/blog/Proteomics/introduction_to_proteomics/</guid>
      <pubDate>Tue, 07 Mar 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Proteomics 수업 내용 정리 - Introduction of Proteomics]]></description>
    </item>
    <item>
      <title><![CDATA[[Proteomics] proteomics 수업 내용 정리에 앞서]]></title>
      <link>https://sehooni.github.io/blog/Proteomics/proteomics_start/</link>
      <guid>https://sehooni.github.io/blog/Proteomics/proteomics_start/</guid>
      <pubDate>Mon, 06 Mar 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Proteomics 수업 내용 정리]]></description>
    </item>
    <item>
      <title><![CDATA[[NLP] Attention is all you need]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/Attention_is_all_you_need/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/Attention_is_all_you_need/</guid>
      <pubDate>Fri, 03 Mar 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Transformer 논문 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[Jetson] Jetson Nano를 이용한 Yolov5 활용기 (3) - yolov5 설치 및 프로젝트 중 발생한 오류(시행착오) 정리]]></title>
      <link>https://sehooni.github.io/blog/Projects/Jetson/Jetson_yolov5/</link>
      <guid>https://sehooni.github.io/blog/Projects/Jetson/Jetson_yolov5/</guid>
      <pubDate>Sat, 18 Feb 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Jetson Nano 내에 yolov5 설치]]></description>
    </item>
    <item>
      <title><![CDATA[[Jetson] Jetson Nano를 이용한 Yolov5 활용기 (2) - CUDA BUILD]]></title>
      <link>https://sehooni.github.io/blog/Projects/Jetson/Jetson_CUDA_Build/</link>
      <guid>https://sehooni.github.io/blog/Projects/Jetson/Jetson_CUDA_Build/</guid>
      <pubDate>Fri, 17 Feb 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Jetson Nano 내에 CUDA Build 진행]]></description>
    </item>
    <item>
      <title><![CDATA[[Jetson] Jetson Nano를 이용한 Yolov5 활용기 (1) - linux os 설정]]></title>
      <link>https://sehooni.github.io/blog/Projects/Jetson/Jetson_Yahboom/</link>
      <guid>https://sehooni.github.io/blog/Projects/Jetson/Jetson_Yahboom/</guid>
      <pubDate>Thu, 16 Feb 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[yahboom Jetson Nano Linux OS 설정]]></description>
    </item>
    <item>
      <title><![CDATA[[Jetson] Jetson Nano를 이용한 Yolov5 활용기]]></title>
      <link>https://sehooni.github.io/blog/Projects/Jetson/Jetson_1/</link>
      <guid>https://sehooni.github.io/blog/Projects/Jetson/Jetson_1/</guid>
      <pubDate>Fri, 20 Jan 2023 00:00:00 GMT</pubDate>
      <description><![CDATA[Yolov5 with Jetson Nano]]></description>
    </item>
    <item>
      <title><![CDATA[[CV] Mask R-CNN & U-Net]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/Mask_RCNN_UNet/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/Mask_RCNN_UNet/</guid>
      <pubDate>Tue, 20 Dec 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[Mask R-CNN & U-Net Paper 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[2022인공지능경진대회] 2022년 인공지능 온라인 경진대회 후기]]></title>
      <link>https://sehooni.github.io/blog/Projects/Hackathon/AI_Contest/</link>
      <guid>https://sehooni.github.io/blog/Projects/Hackathon/AI_Contest/</guid>
      <pubDate>Sun, 02 Oct 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[2022년 인공지능 온라인 경진대회 후기]]></description>
    </item>
    <item>
      <title><![CDATA[[CV] RCNN, Fast R-CNN, Faster R-CNN]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/RCNN_Fast_RCNN_Faster_RCNN/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/RCNN_Fast_RCNN_Faster_RCNN/</guid>
      <pubDate>Mon, 18 Jul 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[RCNN, Fast R-CNN, Faster R-CNN Paper 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[CV] ImageNet Classification with Deep Convolutional Neural Networks(CNN)]]></title>
      <link>https://sehooni.github.io/blog/PaperReview/ImageNet_Classification_with_Deep_Convolutional_Neural_Networks/</link>
      <guid>https://sehooni.github.io/blog/PaperReview/ImageNet_Classification_with_Deep_Convolutional_Neural_Networks/</guid>
      <pubDate>Thu, 28 Apr 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[CNN_Paper 리뷰]]></description>
    </item>
    <item>
      <title><![CDATA[[DL] ANN, DNN, CNN, RNN 개념과 차이]]></title>
      <link>https://sehooni.github.io/blog/AI/DL_ML/ANN,DNN,CNN,RNN/</link>
      <guid>https://sehooni.github.io/blog/AI/DL_ML/ANN,DNN,CNN,RNN/</guid>
      <pubDate>Sun, 03 Apr 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[ANN, DNN, CNN, RNN 개념과 차이]]></description>
    </item>
    <item>
      <title><![CDATA[[NLP] 문서 분류 모델 실전 투입]]></title>
      <link>https://sehooni.github.io/blog/AI/NLP/classification_model_apply/</link>
      <guid>https://sehooni.github.io/blog/AI/NLP/classification_model_apply/</guid>
      <pubDate>Sat, 26 Mar 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[학습을 마친 문서 분류 모델을 가지고 웹 서비스를 만든다.]]></description>
    </item>
    <item>
      <title><![CDATA[[NLP] 문서 분류 모델]]></title>
      <link>https://sehooni.github.io/blog/AI/NLP/document_classification/</link>
      <guid>https://sehooni.github.io/blog/AI/NLP/document_classification/</guid>
      <pubDate>Fri, 25 Mar 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[문서 분류 모델이란?]]></description>
    </item>
    <item>
      <title><![CDATA[[NLP] 문서 분류 모델 training]]></title>
      <link>https://sehooni.github.io/blog/AI/NLP/classification_model_train/</link>
      <guid>https://sehooni.github.io/blog/AI/NLP/classification_model_train/</guid>
      <pubDate>Fri, 25 Mar 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[문서분류 모델 학습하기.]]></description>
    </item>
    <item>
      <title><![CDATA[[NLP] 문장 쌍 분류 모델 실전 투입]]></title>
      <link>https://sehooni.github.io/blog/AI/NLP/pair_classification_service/</link>
      <guid>https://sehooni.github.io/blog/AI/NLP/pair_classification_service/</guid>
      <pubDate>Wed, 23 Mar 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[문장 쌍 분류 모델 실전 투입하기]]></description>
    </item>
    <item>
      <title><![CDATA[[NLP] 문장 쌍 분류 모델 학습하기]]></title>
      <link>https://sehooni.github.io/blog/AI/NLP/pair_classification_train/</link>
      <guid>https://sehooni.github.io/blog/AI/NLP/pair_classification_train/</guid>
      <pubDate>Tue, 22 Mar 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[문장 분류 쌍 모델 학습하기.]]></description>
    </item>
    <item>
      <title><![CDATA[[NLP] 문장 쌍 분류 모델]]></title>
      <link>https://sehooni.github.io/blog/AI/NLP/pair_classification/</link>
      <guid>https://sehooni.github.io/blog/AI/NLP/pair_classification/</guid>
      <pubDate>Mon, 21 Mar 2022 00:00:00 GMT</pubDate>
      <description><![CDATA[문장 쌍 분류 모델이란?]]></description>
    </item>
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