April 2026
Intermediate
592 pages
13h 28m
Korean
Content preview from 에이전트 시대의 AI 시스템 설계
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에이전트 시대의 AI 시스템 설계
개인화와 대화 기록
검색과 생성 사이의 후처리 단계에서 할 수 있는 또 다른 일은 검색된 내용 이외의 정보를 컨텍
스트에 추가하는 것이다. 예를 들어 검색된 노드를 살펴보고 사용자와 유관한 정보를 가져와서
컨텍스트에 추가하는 등이다.
간단한 형태로는, 사용자의 과거 대화 내역 중 쿼리와 관련이 있는 것을 추가하는 것을 생각할
수 있겠다. 여행 챗봇이 사용자의 개인적인 여행 날짜를 반영해서, 주어진 여행지를 사용자가
방문하려는 계절에 맞게 설명한다고 상상해 보기 바란다.
일반적으로 챗봇은 이전 몇 차례의 대화를 요약한 텍스트를 컨텍스트에 추가해서 답변의 그라
운딩에 활용한다. 그런 요약(사용자의 과거 수정 사항이나 선호도도 포함된)을
대화 상태
conver-
sation
state
라고 부르기도 한다. 다음은 이전에 생성한 농담을 더 발전시켜 달라고 요청하는 예로,
파이댄틱
AI
를 이용한 코드이다.
joke = agent.run_sync('농담 하나 해줘.')
print(joke.data)
#> 농담 내용
joke2 = agent.run_sync('농담을 더 길게 만들고 펀치라인을 추가해 줘.',
message_history=joke.new_messages())
print(joke2.data)
검색된 정보에 기반해서 ...
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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.