April 2026
Intermediate
348 pages
8h 22m
Korean
Content preview from 그림으로 배우는 생성형 AI
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332
그림으로 배우는 생성형 AI
with mlflow.start_run():
# 이전과 동일 ...
...
# 모델 정보를 저장한다.
mlflow.pytorch.log_model(model,
"model")
run_id = mlflow.active_run().info.
run_uuid
print(f"실행 {run_id}의 모델 정보가
저장되었습니다.")
지금까지 실험 추적 플랫폼을 활용해서 로깅
,
모니
터링
,
재현성을 통해 확장성과 효율성이라는 기술적
LLM
옵스 목표를 달성하는 방법을 소개했습니다
.
다
음으로는 위험 완화라는
LLM
옵스의 마지막 목표를
달성하는 방법을 살펴보겠습니다
.
6.5.3 다층적 평가
앞 절에서 고려한 평가 방법들이 유용하긴 하지만
,
충
분하지는 않습니다
.
가치 정렬의 필요성과 생성형
AI
가 사회 체계 전반에 미치는 영향을 고려할 때
,
생성
형
AI
애플리케이션을 포괄적으로 평가할 계획을 미
리부터 세심하게 수립하는 것이 중요합니다
.
[
그림
6
-
15
]
에 생성형
AI
의 평가에서 고려할 사항들이 나
와 있습니다
.
AI
어시스턴트의 규모가 커지고 기능이 늘면서 생성
형
AI
의 위험을 예측하기가 쉽지 않습니다
.
특히 초기
배포 단계에서 모든 잠재적 위험을 예측하고 완화하기
란 매우 어려운데요
.
전에는 볼 수 없었던 기능과 창
발적 행동
emergent ...
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and much more.
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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.