April 2026
Intermediate
348 pages
8h 22m
Korean
Content preview from 그림으로 배우는 생성형 AI
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2675
장 생성형 AI 애플리케이션의 아키텍처
트에 대해서도 여전히 다른 결과를 받을 수 있지요
.
이러한 내장 캐싱 방식들은 텍스트가 정확히 일치해
야만 동작합니다
.
하지만 여러분의 상황에 맞게 캐싱
을 맞춤형으로 구현하는 것도 가능합니다
.
예를 들
어
,
프롬프트를 정규화된 형식으로 재작성함으로써
캐시 적중률
cache
hit
rate
을 높일 수 있습니다
.
또한 가장
자주 묻는 질문
n
개
(
이를테면
100
개
)
를 저장해 두고
그 질문 중 하나와 충분히 유사한 질문이 들어왔을 때
해당 질문으로 프롬프트를 대체하는 방식도 흔히 쓰
이는데요
.
이를
의미 기반 캐싱
semantic
caching
이라고 부릅
니다
(
그림
5
-
11
).
다중 턴
multiturn
챗봇
4
에서는 의미가
4
역자주 우리가 흔히 사용하는, 챗봇과 사용자가 차례로 대화를 주고받는 방식을 말합니다.
비슷한 질문들을 사용자에게 제시해서 선택하게 할
수도 있습니다
.
이러한 의미 기반 캐싱 기법은 유사한
프롬프트에도 동일한 응답을 반환하기 때문에 모델의
성능이 다소 제한됩니다
.
5.3.3 소규모 언어 모델
2024
년 초에 발표된 한 연구
(
https://oreil.ly/
sqKSR
)
에 따르면
LLM
에서 환각을 완전히 제거하
는 것은 불가능합니다
.
모든 가능한 계산 가능 함수
computable
function
를
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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.