April 2026
Intermediate
592 pages
13h 28m
Korean
Content preview from 에이전트 시대의 AI 시스템 설계
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157
3
장
지식 추가: 기본
지식 추가: 기본
CHAPTER
3
기초 모델은 닫힌 시스템이다. 기초 모델의 성능은 훈련 데이터에 제약받으므로, 실제로 사용
할 때는 추가 정보를 제공해야 하는 경우가 많다. 예를 들어 모델이 훈련될 때는 아직 발생하지
않은 사건에 관한 내용을 생성하려면 그 사건에 관한 정보를 모델에게 추가로 제공해야 한다.
비공개 정보나 기밀 정보, 또는 어떠한 이유로 모델 훈련 담당자가 접근할 수 없었던 정보의 경
우도 마찬가지이다.
그런데 그런 추가 지식을 주입하기 위해
LLM
을 다시 훈련하거나 기초 모델에 대한 후속 사전
훈련
continued
pre
-
training
(
CPT
)을 수행하는 것은 비현실적이다. 훈련 한 번에 드는 비용도 엄청난
데, 정보가 워낙 빠르게 변하기 때문에 그런 훈련을 매우 자주 수행해야 하므로 비용이 수천만
달러에 달할 수 있다.
1
그래서 일반적으로는 기초 모델을 있는 그대로 사용하면서 실행 시점에
서 지식을 추가하는 방식이 선호된다.
런타임에 기초 모델에 추가 정보를 제공하는 핵심 패턴은
2020
년 페이스북
AI
리서치
Facebook
AI
Research
(현재는 메타 소속 ) 연구원들이 발표한 기념비적인 논문 「
Retrieval
-
Augmented
Generation
for
Knowledge
-
Intensive
NLP ...
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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.