April 2026
Intermediate
348 pages
8h 22m
Korean
Content preview from 그림으로 배우는 생성형 AI
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1894
장 에이전트형 시스템 구축
Chapter 4
에이전트형 시스템 구축
LLM
은 강력하지만
,
한 번의 호출로 할 수 있는 일에는 한계가 있습니다
.
예를 들어
2024
년
10
월까지의 데이터
로 훈련된 기초 모델에
2024
년
11
월에 시작한 세계 체스 챔피언십 우승자가 누구인지 묻는다면 정확한 답을 내
놓지 못할 것입니다
.
에이전트형 시스템
agentic
system
은 앞의 예를 비롯해
LLM
의 여러 한계를 극복할 방법을 제공합니다
.
어떠한 애플리
케이션에서 여러 단계로 이루어진 작업의 한 단계를 자동으로 처리하는 소프트웨어 구성요소를
에이전트
agent
라
고 부릅니다
.
그리고 그런 에이전트들이 주된 특징인 시스템 또는 애플리케이션을 가리켜
에이전트형
이라고 칭
하지요
.
이번 장에서는 에이전트형 시스템을 구축하는 방법을 살펴봅니다
(
그림
4
-
1
).
다수의 단계에 관여하는
에이전트들을 구현하는 방법을 논의한 다음
,
실무에서 매우 유용한 두 가지 에이전트 유형인
RAG
에이전트와
SQL
에이전트를 살펴봅니다
.
RAG
에이전트를 이용하면 훈련 중에는 접근할 수 없었던 최신 데이터를
LLM
에
제공할 수 있습니다
.
SQL
에이전트는
LLM
이 정형 데이터
structured
data
로 구성된
(
그리고 종종 기밀 데이터를 포함
한
)
데이터베이스에 접근할 수 있게 해 줍니다
.
2
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.