한다. 추가적인 생성 과정에서 모델은 자신이 이전에 생성한 응답을 재평가하게 되며, 결과적
으로 원래의 응답보다 훨씬 더 성찰적인 응답이 만들어진다.
5.3.5
참고문헌
ToT
개념은 야오
Yao
등의 논문 「
Tree
of
Thoughts
:
Deliberate
Problem
Solving
with
Large
Language
Models
」(
2023
,
https
://
arxiv
.
org
/
abs
/
2305
.
10601
)에 자세히 설
명되어 있다. 대기 주입은 뮈니그호프
Muennighoff
등이 제안했다(
2025
,
https
://
arxiv
.
org
/
abs
/
2501
.
19393
). 해당 논문 저자들이 제공한 오픈 소스 예제가
https
://
oreil
.
ly
/
w
_
X
-
m
에 있다.
5.4
패턴
15
: 어댑터 조정
어댑터 조정
Adapter
Tuning
패턴은 작은 예시 데이터셋으로 추가 신경망 층 몇 개를 효율적으로 훈
련함으로써 기초 모델이 특화된 작업을 수행하도록 미세조정하는 것을 말한다.
5.4.1
문제
GPT
나 제미나이, 클로드 같은 사전훈련된 기초 모델은 매우 강력하다. 다양한 작업을 수행할 ...
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