January 2026
Intermediate
404 pages
7h 22m
Korean
Content preview from AI 에이전트 엔지니어링
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387
용어 사전
가중치 공유
Weight
sharing
가중치 공유 기법으로 네트워크의 여러 부분에서 동일한 모델 파라미터를 사용합니다.
개체명 인식
Named
entity
recognition
(
NER
)
텍스트에서 이름, 날짜, 위치 등의 개체를 식별하는 기술입니다.
검색 증강 생성
Retrieval
-
augmented
generation
(
RAG
)
외부 지식을 검색하여
AI
생성 응답을 향상시키는 방법입니다.
경사 하강법
Gradient
descent
머신러닝 모델의 손실을 최소화하기 위한 최적화 알고리즘입니다.
과적합
Overfitting
모델이 훈련 데이터에 너무 특화된 패턴을 학습하여 일반화에 실패하는 현상입니다.
그래프 신경망
Graph
neural
network
(
GNN
)
그래프 구조의 데이터를 처리하는 신경망 유형입니다.
도메인 적응
Domain
adaptation
특정 도메인에서 더 나은 성능을 내도록 모델을 파인튜닝하는 과정입니다.
디코더
Decoder
인코딩된 정보로부터 출력 시퀀스를 생성하는 트랜스포머 파운데이션 모델의 구성 요소입니다.
드롭아웃
Dropout
과적합을 방지하기 위해 훈련 중 뉴런을 무작위로 비활성화하는 정규화 기법입니다.
로짓
Logit
소프트맥스 같은 정규화 함수를 적용하기 전 신경망의 원시 출력입니다.
용어 사전
388
용어 사전
용어 사전
마스크 언어 ...
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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.