March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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329
13
장
서빙을 위해 파이토치 모델 호스팅하기
서빙을 위해 파이토치 모델 호스팅하기
CHAPTER
13
앞서 컴퓨터 비전, 자연어 처리, 시퀀스 모델링을 포함해 다양한 머신러닝 모델을 훈련하는 시
나리오를 살펴봤습니다. 하지만 이는 첫 번째 단계에 지나지 않습니다. 다른 사람들이 모델을
사용할 수 없다면 쓸모가 없습니다. 이 장에서는 사용자에게 모델을 제공할 수 있는 몇 가지 인
기 있는 도구를 간략히 살펴보겠습니다.
훈련된 파이토치 모델을 제품용 서비스로 옮기려면 단순히 배포하는 것 이상의 많은 작업이 필
요합니다. 이를 위한 분야가
MLOps
machine
learning
operations
입니다. 이러한 모델을 서빙
serving
하는
세계에 발을 들여 놓으면 실시간 요청 처리, 컴퓨팅 자원 관리, 신뢰성 보장, 다양한 부하에서
의 성능 유지와 같은 새로운 과제를 이해해야 합니다.
궁극적으로
MLOps
는 데이터 과학과 소프트웨어 엔지니어링 사이의 간극을 메우는 역할
을 합니다. 자세한 내용은 이 장의 범위를 벗어나므로 『
Implementing
MLOps
in
the
Enterprise
』(오라일리,
2024
)와 『
LLMOps
』(오라일리,
2025
)와 같은 책을 참고하세요.
이 장에서는 제품 환경에서 파이토치 모델을 서빙하는 데 인기가 많은 두 가지 방법을 소개합 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.