March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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399
16
장
사용자 정의 데이터와 함께 LLM 사용하기
사용자 정의 데이터와 함께
LLM
사용하기
CHAPTER
16
15
장에서 트랜스포머와 인코더, 디코더, 인코더-디코더 구조의 작동 방식을 알아봤습니다. 이
런 기술이
NLP
를 혁신한 사실에는 의심의 여지가 없습니다. 그다음 트랜스포머 모델을 쉽게
사용하게 도와주는 허깅 페이스의 파이썬 라이브러리인
transformers
를 살펴봤습니다.
방대한 양의 텍스트로 훈련된 대규모 트랜스포머 기반 모델은 강력하지만 특정 작업이나 도메
인에 항상 이상적이지는 않습니다. 이 장에서
transformers
와 다른 라이브러리를 사용해 특
정 요구 사항에 맞게 모델을 적응시키는 방법을 알아보겠습니다.
미세 튜닝을 사용해 특정 데이터로 사전 훈련된 모델을 커스터마이징할 수 있습니다. 이런 방
식을 사용해 챗봇을 만들거나 분류 정확도를 향상시키거나 특정 도메인에 맞는 텍스트 생성 모
델을 개발할 수 있습니다.
전통적인 미세 튜닝과
LoRA
와
PEFT
parameter
-
efficient
fine
-
tuning
같은 파라미터 효율적인 튜닝을 포
함해 여러 가지 기술이 있습니다. 또한
RAG
retrieval
-
augmented
generation
를 사용해
LLM
의 활용을 극
대화할 수 있습니다. 이에 대해서는
18
장에서 알아보겠습니다.
이 장에서는 ...
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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.