March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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328
2
부
모델 사용
12.5
마치며
이 장에서는 텐서와 그 이면에 있는 기본 아이디어를 간략히 살펴봤습니다. 텐서는 데이터가
무엇을 표현하든 관계없이 머신러닝 모델에 데이터를 가장 적절한 형태로 전달할 수 있는 유연
한 데이터 구조이며 배치 처리 역시 지원합니다. 또한 모델의 출력을 일관된 방식으로 관리할
수 있도록 해 주는데, 출력값은 일반적으로 출력 층에 배치된 뉴런을 통해 리스트 형태로 생성
됩니다. 따라서 텐서를 처리할 수 있으면 모델에 데이터가 입력되고 출력되는 방법에 대한 기
초를 익힐 수 있습니다.
이제 모델 훈련에서 추론으로, 특히 생성형
AI
로 초점을 옮기겠습니다. 먼저 저장소와 허브
hub
에서 모델을 가져오는 것부터 시작하겠습니다.
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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.