April 2026
Intermediate
348 pages
8h 22m
Korean
Content preview from 그림으로 배우는 생성형 AI
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1914
장 에이전트형 시스템 구축
는 기본요소들이 끼어들기 마련인데요
.
이를 해결하
기 위한 엔지니어링 접근법으로 빠르게 발전하고 있
는
LLM
옵스
LLMOps
를
6
장에서 소개합니다
.
4.1 왜 에이전트형 시스템인가?
에이전트형 시스템은 추론 및 수학 계산 능력 부족
,
지식 단절
,
데이터베이스 갱신 불가 같은
LLM
의 한계
를 뛰어넘어 기업이 실질적인 문제를 해결할 수 있는
길을 열어줍니다
.
필요에 따라 수학 계산
,
규제
,
업계
전문 용어
,
데이터베이스 갱신
,
기밀 정보 접근 등에
특화된 에이전트를 도입함으로써 생성형
AI
의 능력을
기업의 구체적인 비즈니스 요구에 초점을 두고 커스
텀화할 수 있습니다
.
4.1.1 복잡한 작업의 분해
에이전트형 시스템은 복잡한 하나의 작업을 더 간단
한 지시사항
instruction
들로 나누는 방식으로 작동합니다
(
그림
4
-
2
참고
).
지시사항 중 일부는
LLM
이 수행하
게 하고 나머지 작업은
SaaS
Software
as
a
Service
(
서비스형
소프트웨어
)
애플리케이션의
API
호출로 처리합니다
.
이러한 방식을 노코드
/
로우코드 접근법과 결합함으
로써
SaaS
소프트웨어 사용자가 대단히 수월하게 작
업을 자동화할 수 있습니다
.
예를 들어
“
정형외과 의사 선생님과 진료 예약을 하고
싶어
”
같은 사용자의 요청을 받은 에이전트형 시스템
은 요청을 ...
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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.