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2024-04-17
MLOps Now — Deploying LLM : General intelligence system through MLOps — 안재만, CEO, VESSL AI (베슬에이아이)
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2024-02-08
MLOps Now — AI in Finance: 금융 분야에서의 LLM — 이한울, AI 리서처, 엔씨소프트
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2024-02-08
MLOps Now — AI in Finance: LLM을 활용한 글로벌 주식시장 분석과 전달과 투자 모델 구축 — 정한얼, CEO, Oneline AI (원라인에이아이)
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2024-02-08
MLOps Now — AI in Finance: 금융 AI를 위한 클라우드 및 MLOps 인프라 — 안재만, 공동창업자 및 대표, VESSL AI (베슬에이아이)
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![[VESSL AI 서비스 데모] #7. Settings (Admin, Billing, Integration)](https://i.ytimg.com/vi/LocDvFBKV00/mqdefault.jpg)
2024-02-08
[VESSL AI 서비스 데모] #7. Settings (Admin, Billing, Integration)
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![[VESSL AI 서비스 데모] #6. Model 정의 (Llama2_Finetuning 예제 변형)](https://i.ytimg.com/vi/Pt8OV9hB734/mqdefault.jpg)
2024-02-08
[VESSL AI 서비스 데모] #6. Model 정의 (Llama2_Finetuning 예제 변형)
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![[VESSL AI 서비스 데모] #5. Cluster 정의 및 클러스터 대시보드 활용 방법](https://i.ytimg.com/vi/DWJ9dJXQvmY/mqdefault.jpg)
2024-02-08
[VESSL AI 서비스 데모] #5. Cluster 정의 및 클러스터 대시보드 활용 방법
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![[VESSL AI 서비스 데모] #4. Dataset 정의 및 Organization에 dataset 연동 방법](https://i.ytimg.com/vi/qb7F7AAxAGE/mqdefault.jpg)
2024-02-08
[VESSL AI 서비스 데모] #4. Dataset 정의 및 Organization에 dataset 연동 방법
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![[VESSL AI 서비스 데모] #3. Tracking 기능을 통한 Custom Metric 차트 생성](https://i.ytimg.com/vi/u9LLuLVSaTE/mqdefault.jpg)
2024-02-08
[VESSL AI 서비스 데모] #3. Tracking 기능을 통한 Custom Metric 차트 생성
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![[VESSL AI 서비스 데모] #2. Project 정의 및 VESSL Run & Hub 사용 방법](https://i.ytimg.com/vi/ntH1BWvfYSU/mqdefault.jpg)
2024-02-08
[VESSL AI 서비스 데모] #2. Project 정의 및 VESSL Run & Hub 사용 방법
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![[VESSL AI 서비스 데모] #1. Organization & Workspace 정의 및 사용 방법](https://i.ytimg.com/vi/VPB2XaZWZ84/mqdefault.jpg)
2024-02-08
[VESSL AI 서비스 데모] #1. Organization & Workspace 정의 및 사용 방법
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![[VESSL AI] 서비스 전체 온보딩 가이드 세션 (한국어)](https://i.ytimg.com/vi/cP8UoJO-k48/mqdefault.jpg)
2024-02-07
[VESSL AI] 서비스 전체 온보딩 가이드 세션 (한국어)
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![[VESSL AI/KOR] Getting started with VESSL Hub & Cluster Management](https://i.ytimg.com/vi/Bdrrav--GI8/mqdefault.jpg)
2024-01-09
[VESSL AI/KOR] Getting started with VESSL Hub & Cluster Management
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2023-12-11
VESSL Hub Introduction : End-to-end YAML configurations of ready-to-run ML models
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2023-12-11
VESSL Tutorial : VESSL Hub, End-to-end YAML configurations of ready-to-run ML models
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2023-12-04
MLOps Now Nov Session #4 : 코르카가 바라보는 LLM 기술과 제품의 방향 (by 이태호, Corca)
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2023-12-04
MLOps Now Nov Session #3 : 고군분투 LLM 프로덕트 적용기 — Blind Prompting 부터 Agent까지 (by 허훈, LINER)
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2023-12-04
MLOps Now Nov Session #2: MLOps & AI Infrastructure for Production-ready LLMs (by 류인태, VESSL AI)
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2023-12-01
MLOps Now Nov Session #1 : MLOps & LLMOps 2023 주요 트렌드 (by 안재만, VESSL AI)
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2023-11-28
MLOps Now Nov: Complete Session - MLOps & LLMOps 2023 Trend
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![[KOR] Getting started with MLOps / LLMOps with VESSL AI](https://i.ytimg.com/vi/mWbKb2Q9y1A/mqdefault.jpg)
2023-10-16
[KOR] Getting started with MLOps / LLMOps with VESSL AI
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2023-09-25
MLOps Now 2023: Complete Session Compilation - LLM in Production Unveiled
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2023-09-25
MLOps Now Sep Session #3: Prompts for LLMs — 프롬프트 엔지니어링과 LLM 디버깅 (by Akira, Weights & Biases)
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2023-09-19
MLOps Now Sep Session #2 : Private sLLM — 어떻게 만들고 어떻게 배포할까? 스캐터랩의 좌출우돌 스토리
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2023-09-19
MLOps Now Sep Session #1 : Infrastructure for LLMs — Llama 2 학습부터 파인튜닝, 배포까지 (by 안재만, VESSL AI)
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2023-06-07
MLOps Now 2023 Session #3: Hands-on MLOps with Large-Scale Production Machine Learning Projects
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2023-06-07
MLOps Now 2023 Session #2: CI/CD for ML - VESSL Pipelines with an Autonomous Driving System Case
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2023-06-07
MLOps Now 2023 Session #1: Core Competitiveness of Modern AI/ML Teams and Getting Started with MLOps
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2022-12-30
Feature for ML Life Hack : Set up VS Code Connection with VESSL
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2022-12-30
Feature for ML Life Hack : Logging with VESSL SDK
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2022-12-29
VESSL Bite-size Tutorial : Register your Kubernetes cluster to VESSL
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2022-12-05
VESSL Bite-size Tutorial : Install VESSL CLI and SDK using pip
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2022-12-01
VESSL Bite-size Tutorial : Organize your workspace by managing columns
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2022-11-29
VESSL Bite-size Tutorial : Import the latest experiment with just a single click
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2022-11-28
VESSL Bite-size Tutorial : Reproduce any experiment with just a single click
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2022-11-26
VESSL Bite-size Tutorial : See our documentation for detailed guides
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2022-11-26
VESSL Bite-size Tutorial : Integrate GitHub to your organization
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2022-11-25
VESSL Bite-size Tutorial : Integrate Slack to your organization
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2022-11-25
VESSL Bite-size Tutorial : Invite members to your organization
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2022-11-25
Renaissance 2022 - 10. Hongjoon Ahn - Graph Neural Networks
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2022-11-24
Renaissance 2022 - 09. Jaekyeom Kim-Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
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2022-11-24
Renaissance 2022 - 08. Seungyong Moon - Reinforcement Learning
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2022-11-24
Renaissance 2022 - 07. Minchan Jeong - Robust Streaming PCA
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2022-11-24
VESSL Bite-size Tutorial : Adding new dashboard for new experiment list-view
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2022-11-23
Renaissance 2022 - 06. Gihun Lee - Preservation of the Global Knowledge, Federated Learning
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2022-11-22
Renaissance 2022 - 05. Sungnyun Kim - Few-Shot Learning
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2022-11-18
Renaissance 2022 - 04. Wonseok Hwang - Korean Legal Language Understanding and Judgement Prediction
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2022-11-17
Renaissance 2022 - 03. Jinsung Jeon - Time Series Data / Generative Adversarial Networks
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2022-11-16
Renaissance 2022 - 02. Sejong Yang - Cross-Domain Face Understanding
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2022-11-16
VESSL Bite-size Tutorial : Tag your experiment list to make it easier to organize
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2022-11-14
Renaissance2022 - 01. Sukjun Hwang - Video Instance Segmentation
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2022-10-24
Renaissance@SNU : NeurIPS 2022 Preview
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2022-07-01
The 1st MLOps NOW - Session 02: How We Reduced 83% of ML Computing Cost on 100+ ML Projects
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2022-07-01
The 1st MLOps NOW - Session 01: Managing the Flywheel of ML Data
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2022-07-01
The 1st MLOps NOW - Key takeways from MLOps World and apply(conf) Full Ver.
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2022-02-04
Getting started with MLOps – Using VESSL to optimize and manage ML models
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2022-02-04
Getting started with MLOps – Using VESSL to log and track ML experiments
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![[ENG] Vessl Demo: Object Detection Using Detectron2](https://i.ytimg.com/vi/l_y5HCeOg6c/mqdefault.jpg)
2021-08-31
[ENG] Vessl Demo: Object Detection Using Detectron2
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2021-04-14
SavviHub Demo #2: Inference with JupyterLab and Streamlit
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2020-12-13
SavviHub Demo #1: Object Detection Using Detectron2
odevtube: 개발 관련 유튜브
