April 2026
Intermediate
592 pages
13h 28m
Korean
Content preview from 에이전트 시대의 AI 시스템 설계
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233
4
장
지식 추가: 고급
중의성 해소
때로는 쿼리에 여러 의미를 가진 용어가 사용되기도 한다. 앞에서 언급한
그랜드 캐니언
이 좋은
예이다. 중의성 문제를 해결하려면 우선 중의성이 있는지부터 판단해야 한다. 이를 위해, 다음
처럼 검색된 노드들이 모두 동일한 개체를 참조하는지
LLM
에게 묻는다.
@dataclass
class DisambiguationResult:
is_ambiguous: bool
ambiguous_term: str
possibility_1: str
possibility_2: str
def disambiguate(query, node1, node2):
system_prompt = """
쿼리와 그에 대한 답변의 기반이 될 검색된 구절 두 개가 주어집니다.
두 구절이 서로 다른 개체를 동일한 용어로 지칭하는지 판단하세요.
예를 들어 쿼리가 "레드 리버"에 관한 것일 때, 한 구절은 미네소타의 레드 리버에
관한 것이고 다른 구절은 오클라호마/텍사스 경계에 있는 레드 리버에 관한 것일 수
있습니다.
두 구절에 중의성이 없다면 is_ambiguous에 False를 반환하세요.
"""
agent = Agent(model,
result_type=DisambiguationResult,
system_prompt=system_prompt) ...
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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.