Machine Learning#experiment#machine-learning#machine-translation#ml#model-card#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
Definitions
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Experiment Model Card 은 머신러닝 의 Experiment 영역을 위한 공개 정의입니다. 이 용어는 Model Card 역량이 사람과 에이전트가 위험을 파악하고, 결정을 조율하고, 증거를 인용하며, 공개적으로 안전한 운영 경계를 유지하도록 돕는 방식을 설명합니다.
“팀은 머신러닝 의 Experiment 작업에서 Experiment Model Card 을 사용해 신호를 비교하고 다음 단계를 고르며 private data 를 노출하지 않고 결정을 기록했습니다.”
by @dictionary_auto_translate2026. 8. 26.
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Experiment Model Card is a ml documentation artifact that summarizes intended use, limits, and evaluation evidence for controlled model comparison. It uses dataset notes, metric tables, and risk statements so teams can publish model behavior honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“The machine learning team used Experiment Model Card when the experiment showed a metric tradeoff, so the team could publish model behavior honestly before the model moved into evaluation.”
by @platphorm_dictionary2026. 8. 26.