Latest Posts

GPT Image 2 실험 리뷰: 제품 목업, 사용 설명서, UI 시안은 어디까지 사업화할 수 있을까?
4/27/2026#Image Generation#Multimodal#Business+2
사내 GPT를 넘어서: 암묵지 × 컨텍스트 그래프로 진짜 조직 경쟁력 만들기
4/10/2026#Knowledge Management#Agentic AI#Enterprise AI+1
Vision LLM, 비즈니스에서는 어떻게 쓰이고 있을까?
3/8/2026#Paper#Multimodal#Business
2025-2026 Vision LLM 대격변: MoE에서 Native Multimodal까지
2/22/2026#Paper#Multimodal
FlashInfer: Block-Sparse KV 캐시로 어텐션 병목을 해소하다 (MLSys 2025 Best Paper)
1/12/2026#Paper#Serving#Optimization+1
MorphServe: 트래픽 폭주에도 SLO를 지키는 동적 LLM 서빙
1/5/2026#Paper#Serving#Optimization+1
수천만 개의 인테리어 아이템, 검색 지연율 0초에 도전하다: 마트로시카 임베딩(MRL) 및 CSR 최적화
12/22/2025#Paper#Multimodal#Retrieval+1
부서지기 쉬운 OCR 파이프라인은 그만: ColPali와 후기 상호작용(Late Interaction) 기반의 융합 문서 검색
12/15/2025#Paper#Multimodal#Retrieval+1
"이 거실 샷에서 소파만 원목으로 찾아줘": 조합 이미지 검색(CIR)이 바꾸는 이커머스 시각 검색
9/15/2025#Paper#Multimodal#Retrieval+1
Deploy Flux Kontext Dev 2x Faster with Nunchaku on RunPod
8/3/2025#Backend#Image Generation
RepText: Rendering Visual Text via Replicating
6/14/2025#Paper#Image Generation
You Don’t Need to Know SQL Anymore
5/31/2025#Supabase#Backend
ICEdit, Enabling Instructional Image Editing with In-Context Generation. (ComfyUI)"
5/11/2025#Paper#ComfyUI#Image Generation
Nunchaku, 4-bit quantized with SVDQuant. (ComfyUI)
4/29/2025#Paper#ComfyUI#Image Generation
OmniSVG: A Unified Scalable Vector Graphics Generation Model
4/14/2025#Paper#Image Generation
How to Remove Objects Optimally
3/30/2025#ComfyUI#Image Generation
Enhancing CLIP Model Performance through Registers-Gated Fine-tuning
3/13/2025#ComfyUI#Image Generation
ACE++: Context-Aware Image Editing via Instruction
2/28/2025#Paper#Image Generation
Deep dive into AWS CloudFront
2/15/2025#AWS#Backend
Deploy ComfyUI as API on RunPod Serverless
1/29/2025#Runpod#Backend#ComfyUI
Developing an experimental system for image generation
7/18/2024#GCP#Backend#MLOps
How to use the ComfyUI API with Streamlit
6/27/2024#ComfyUI#Backend#Image Generation
(ComfyUI) How to append object in image?
2/28/2024#ComfyUI#Image Generation
BentoML with Triton Inference Server
2/9/2024#Backend#Segmentation
LangChain을 활용한 Image Editor (feat. Streamlit)
9/26/2023#Project#Backend#Segmentation
Private(On-premise) 환경에서 CI/CD 구축하기
8/5/2023#MLOps#Backend#Github Actions
What is ArgoCD?
7/20/2023#MLOps#Backend#ArgoCD
FastSAM vs MobileSAM
7/7/2023#Paper#Segmentation
stable diffusion with mlflow tracking server
6/9/2023#MLflow#AWS#Backend
AWS 기초 서비스 정리
5/19/2023#AWS#Backend
On-premise에서 오픈소스로 MLOps 구축하기
4/18/2023#Project#MLOps#Backend
Auto Acceleration
4/14/2023#Project#Backend
Drift Detection with Evidently
3/16/2023#Machine Learning
YOLOv8 with TensorRT & Nvidia Triton Server
3/8/2023#Object Detection#Backend![[ML Design Pattern] 추론 시스템 / 8. 추론 캐시 패턴](/images/2023-03-12-12-07-26.png)
[ML Design Pattern] 추론 시스템 / 8. 추론 캐시 패턴
12/28/2022#Design Pattern#Backend
Kubeflow pipeline에서 DVC로 데이터 버전관리하기
12/23/2022#MLOps#Kubeflow#DVC![[ML Design Pattern] 추론 시스템 / 7. 시간차 추론 패턴](/images/2023-03-12-11-56-01.png)
[ML Design Pattern] 추론 시스템 / 7. 시간차 추론 패턴
12/22/2022#Design Pattern#Backend![[ML Design Pattern] 추론 시스템 / 6. 직렬, 병렬 마이크로서비스 패턴](/images/2023-03-12-11-52-17.png)
[ML Design Pattern] 추론 시스템 / 6. 직렬, 병렬 마이크로서비스 패턴
12/13/2022#Design Pattern#Backend![[ML Design Pattern] 추론 시스템 / 5. 전처리 · 추론 패턴](/images/2023-03-12-11-47-03.png)
[ML Design Pattern] 추론 시스템 / 5. 전처리 · 추론 패턴
12/5/2022#Design Pattern#Backend![[ML Design Pattern] 추론 시스템 / 4. 배치 추론 패턴](/images/2023-03-12-11-42-43.png)
[ML Design Pattern] 추론 시스템 / 4. 배치 추론 패턴
11/10/2022#Design Pattern#Backend![[ML Design Pattern] 추론 시스템 / 3. 비동기 추론 패턴](/images/2023-03-12-11-35-07.png)
[ML Design Pattern] 추론 시스템 / 3. 비동기 추론 패턴
11/3/2022#Design Pattern#Backend![[ML Design Pattern] 추론 시스템 / 2. 동기 추론 패턴](/images/2023-03-12-11-28-56.png)
[ML Design Pattern] 추론 시스템 / 2. 동기 추론 패턴
10/13/2022#Design Pattern#Backend![[ML Design Pattern] 추론 시스템 / 1. 웹 싱글 패턴](/images/2023-03-12-11-24-18.png)
[ML Design Pattern] 추론 시스템 / 1. 웹 싱글 패턴
10/6/2022#Design Pattern#Backend![[ML Design Pattern] 모델 릴리스 / 2.모델 로드 패턴](/images/2023-03-12-11-21-48.png)
[ML Design Pattern] 모델 릴리스 / 2.모델 로드 패턴
10/1/2022#Design Pattern#Backend![[ML Design Pattern] 모델 릴리스 / 1. 모델 인 이미지 패턴](/images/2023-03-12-11-16-13.png)
[ML Design Pattern] 모델 릴리스 / 1. 모델 인 이미지 패턴
9/27/2022#Design Pattern#Backend![[ML Design Pattern] 모델 생성 / 2. 파이프라인,배치 학습 패턴](/images/2023-03-12-11-06-10.png)
[ML Design Pattern] 모델 생성 / 2. 파이프라인,배치 학습 패턴
9/19/2022#Design Pattern#Backend![[ML Design Pattern] 모델 생성 / 1. 프로젝트, 모델, 버저닝 관리](/images/2023-03-12-10-56-11.png)
[ML Design Pattern] 모델 생성 / 1. 프로젝트, 모델, 버저닝 관리
9/7/2022#Design Pattern#Backend![[ML Design Pattern] 0. Back to the basic](/images/ml-design-pattern.jpeg)
[ML Design Pattern] 0. Back to the basic
9/6/2022#Design Pattern#Backend
Deploy with BentoML Yatai
7/19/2022#BentoML#Backend
Jenkins 로 도커 이미지 Build & Push 자동화하기
7/9/2022#Docker#Backend
Understanding the Feature Store with Feast
6/22/2022#Feature Store#Feast#Backend![[논문리뷰] SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](/images/2023-03-12-02-02-04.png)
[논문리뷰] SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
5/22/2022#Paper#Segmentation#Pytorch![[Part.3] Image Classification on MLOps](/images/2023-03-12-01-47-32.png)
[Part.3] Image Classification on MLOps
3/2/2022#Project#MLOps#Kubeflow![[Part.2] Image Classification on MLOps](/images/2023-03-12-01-38-37.png)
[Part.2] Image Classification on MLOps
3/1/2022#Project#MLOps#Kubeflow![[Part.1] Image Classification on MLOps](/images/2023-03-12-01-30-19.png)
[Part.1] Image Classification on MLOps
2/28/2022#Project#MLOps#Kubeflow![[논문리뷰] A ConvNet for the 2020s](/images/2023-03-12-01-17-30.png)
[논문리뷰] A ConvNet for the 2020s
2/1/2022#Paper#Pytorch
MLOps를 위한 Kubernetes
1/5/2022#Kubernetes#MLOps
Focal Loss
1/2/2022#Paper#Pytorch![[블로그 리뷰] Self-supervised learning: The dark matter of intelligence](/images/2023-03-11-19-26-10.png)
[블로그 리뷰] Self-supervised learning: The dark matter of intelligence
12/16/2021#Paper![[논문리뷰] Masked Autoencoders Are Scalable Vision Learners](/images/2023-03-11-19-19-35.png)
[논문리뷰] Masked Autoencoders Are Scalable Vision Learners
12/1/2021#Paper#Pytorch
DVC(Data Version Control) with Docker
11/26/2021#DVC#Docker
Inference with OpenVINO
11/17/2021#OpenVINO#Backend
Detectron2 + weights and biases + multi gpu
7/22/2021#Segmentation- P
Untitled Post
7/6/2021 ![[논문리뷰] Swin Transformer](/images/2023-03-11-18-47-04.png)
[논문리뷰] Swin Transformer
5/30/2021#Paper#Pytorch
PyTorch Lightning
5/28/2021#Pytorch![[논문리뷰] DeiT (Data-efficient image Transformers)](/images/2023-03-10-16-51-38.png)
[논문리뷰] DeiT (Data-efficient image Transformers)
5/25/2021#Paper#Pytorch![[논문리뷰] RandAugment](/images/2023-03-10-16-45-55.png)
[논문리뷰] RandAugment
5/23/2021#Paper#Pytorch![[논문리뷰] MLP-Mixer](/images/2023-03-10-16-34-39.png)
[논문리뷰] MLP-Mixer
5/18/2021#Paper#Pytorch
Test Time Augmentation(TTA)
5/17/2021#Metric#Pytorch![[논문리뷰] Vision Transformer(ViT)](/images/2023-03-10-16-25-43.png)
[논문리뷰] Vision Transformer(ViT)
5/15/2021#Paper#Pytorch
비전 프로젝트 : CVFM(Computer Vision For Market)
5/11/2021#Project#Object Detection
Pytorch 함수 및 팁 저장소(상시 추가)
4/19/2021#Pytorch![[논문리뷰] EfficientNet](/images/2023-03-10-15-18-08.png)
[논문리뷰] EfficientNet
2/21/2021#Paper#Pytorch![[논문리뷰] MobileNet v2](/images/2023-03-10-14-59-15.png)
[논문리뷰] MobileNet v2
2/14/2021#Paper#Pytorch![[논문리뷰] YOLO v3](/images/2023-03-10-14-53-52.png)
[논문리뷰] YOLO v3
2/10/2021#Paper#Pytorch![[논문리뷰] YOLO v1](/images/2023-03-10-14-49-36.png)
[논문리뷰] YOLO v1
1/31/2021#Paper#Pytorch
Linear Regression
1/26/2021#Deep Learning![[논문리뷰] SSD : Single Shot Multibox Detector](/images/2023-03-10-14-28-14.png)
[논문리뷰] SSD : Single Shot Multibox Detector
1/23/2021#Paper
NMS(Non Max Suppression)
1/21/2021#Metric#Pytorch![mAP(Mean Average Precision) [2]](/images/2023-03-10-14-22-45.png)
mAP(Mean Average Precision) [2]
1/21/2021#Metric#Pytorch
IOU(Intersection over union)
1/20/2021#Metric#Pytorch![[논문리뷰] MobileNet v1](/images/2023-03-10-14-05-56.png)
[논문리뷰] MobileNet v1
1/4/2021#Paper#Pytorch
Batch Normalization
1/2/2021#Metric#Pytorch![[논문리뷰] ResNet](/images/2023-03-10-11-36-56.png)
[논문리뷰] ResNet
1/1/2021#Paper#Pytorch![[논문리뷰] VGGNet](/images/2023-03-10-09-14-06.png)
[논문리뷰] VGGNet
12/30/2020#Paper#Pytorch![mAP(Mean Average Precision) [1]](/images/2023-03-10-09-07-05.png)
mAP(Mean Average Precision) [1]
12/16/2020#Metric
Custom Dataset
12/14/2020#Metric#Pytorch
albumentations (Data Augmentation)
12/13/2020#Albumentations#Data
