June 2025
Beginner to intermediate
484 pages
10h 52m
Korean
Content preview from 잘되는 머신러닝 팀엔 이유가 있다
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248
Part 2
엔지니어링
에는 어떻게 해야 할까요? 여기서 다음 테스트 패러다임을 활용할 수 있습니다.
LLM
(또는 더
높은 품질의
LLM
)
을 사용해 스스로를 테스트하는 방법입니다. 이 접근 방식은 복잡한 내용을
이해하고 평가하는 데 있어
LLM
의 강점을 활용합니다.
우선, 우리가 기대하는 고수준 속성을 나열합니다. 예를 들어, 사용자가 이력서를 생성하는
데 도움을 주는
LLM
애플리케이션이나 기능을 설계하고 있다고 가정하겠습니다. 그리고 몇
가지 속성은 다음과 같습니다.
■ 이력서가 사용자의 프로필에서 주요 정보를 전달합니다.
■ 이력서에 사용자 프로필에 있는 기술만 포함되어 있습니다.
다음으로, 이러한 속성이 주어진 시나리오에서 참인지 확인하고 평가에 대한 설명을 제공하
는 ‘평가자
LLM
’을 생성하기 위한 프롬프트를 설계합니다. 버그나 실패를 발견하면, 이를 최
대한 확장하여 이해하고 수정할 수 있도록 합니다. 이는 모델의 성능과 신뢰성을 지속적으로
향상시키는 피드백 루프를 만듭니다.
이 접근 방식은 마르코 툴리오 리베이로
Marco
Tulio
Ribeiro
와 스콧 룬드버그
Scott
Lundberg
가 그의 논
문 <
NLP
모델의 적응형 테스트 및 디버깅>
22
과 기사 ‘소프트웨어 테스트처럼 언어 모델 및
프롬프트를 설정하기’
23
에서 제안했습니다. ...
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and much more.
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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.
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.