March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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139
4
장
파이토치 데이터셋
4.9
마치며
이 장에서는 파이토치의 데이터 생태계를 다뤘으며,
Dataset
과
DataLoader
클래스를 소개했
습니다. 데이터에 관련된 코드의 양을 줄이기 위해 이들이 공통
API
와 포맷을 사용하는 방법
을 살펴봤습니다. 파이토치로 모델을 훈련할 때 일반적인 설계 패턴의 핵심인
ETL
프로세스를
사용하는 방법도 살펴봤습니다. 특히, 훈련 성능을 향상하기 위해 데이터의 추출, 변환, 로드를
병렬화하는 방법을 탐구했습니다.
이제 이 프로세스를 살펴보았으니, 직접 자신만의 데이터셋을 만들어 보세요! 앨범에 있는 사진
이나 일부 텍스트 또는 여기서 했던 것처럼 그냥 무작위한 노이즈로 만들어 볼 수도 있습니다.
다음 장에서는 지금까지 배운 내용을 자연어 처리 문제에 적용해 보겠습니다.
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and much more.
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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.