April 2026
Intermediate
348 pages
8h 22m
Korean
Content preview from 그림으로 배우는 생성형 AI
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2615
장 생성형 AI 애플리케이션의 아키텍처
이번 절에서 이런 균형을 잡는 데 도움이 되는 틀
(
프
레임워크
)
하나를 소개합니다
.
[
그림
5
-
5
]
는 생성형
AI
애플리케이션이나 에이전트
의 아키텍처를 결정할 때 여러분이 사용하면 좋은 틀
입니다
.
두 축
(
결정 기준
)
을 따라 배치된 여덟 가지
옵션을 이번 절에서 차례로 살펴볼 텐데요
.
y
축은 애
플리케이션이
LLM
에게 요구하는
창의성
creativity
의 수준
이 높아지는 방향이고
,
x
축은
LLM
활용에 따른
위험
risk
이 커지는 방향입니다
.
LLM
을 활용할 때는 먼저 해
당 활용 사례에 필요한
LLM
의 창의성 수준과 위험 정
도를 파악하고
,
여덟 옵션 중 그 둘의 조합에 해당하
는 옵션을 기준으로 삼아서 선택지를 좁혀나가면 됩
니다
.
4
장에서 다룬 에이전트형 시스템을 사용할 것인지의
여부는 이 결정과는 완전히 독립적임을 유의하세요
.
작업이 한 번의
LLM
호출로 처리하기에는 너무 복잡
하거나
LLM
이 가진 능력을 벗어난 기능이 필요하다
면 에이전트형 시스템이 필요합니다
.
에이전트형 시
스템은 복잡한 작업을 더 작고 단순한 작업들로 분해
해서 에이전트들에 맡기고 협업을 조율합니다
.
지금
소개하는 틀은 개별 에이전트의 작업 수행 단위에 적
용할 수 있습니다
.
이번 장에서 분해된 단순 작업을
수행하는 에이전트에 해당하는 생성형 ...
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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.