January 2026
Intermediate
404 pages
7h 22m
Korean
Content preview from AI 에이전트 엔지니어링
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181
7
장
에이전틱 시스템의 학습
에이전틱 시스템의 학습
7
CHAPTER
이 장에서는 에이전틱 시스템에 학습을 적용하고 통합하는 다양한 기법을 다룹니다. 에이전트
가 시간에 따라 학습하고 성능을 향상하도록 만드는 기능은 매우 유용하지만 에이전트를 설계
할 때 반드시 필요한 요소는 아닙니다. 학습 기능을 구현하려면 추가적인 설계, 평가, 모니터링
이 필요하며 이는 애플리케이션에 따라 투자 가치가 있을 수도 있고 없을 수도 있습니다. 여기
서 말하는 학습은 환경과의 상호작용을 통해 에이전틱 시스템의 성능을 향상시키는 것을 의미
합니다. 이 과정은 에이전트가 변화하는 조건에 적응하고 자신의 전략을 정교화하며 전반적인
효율을 향상시키도록 합니다.
비모수적 학습
nonparametric
learning
은 관련 모델의 파라미터를 바꾸지 않고도 자동으로 성능을 변경
하고 개선하는 기법을 말합니다. 이에 반해 모수적 학습
parametric
learning
은 파운데이션 모델의 파
라미터를 명시적으로 학습하거나 파인튜닝하는 기법을 의미합니다. 먼저 비모수적 학습 기법
을 살펴본 다음 모델 가중치를 조정해 특정 성능 향상을 이루는 감독 파인튜닝
supervised
fine
-
tuning
과 직접 선호 최적화
direct
preference
optimization
를 포함한 모수적 파인튜닝 접근법을 ...
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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.
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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.