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dsyoon
2025-12-27 13:11:25 +09:00
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<text x="36" y="64"># 데이터 → 모델 → 배포</text>
<text x="36" y="118">import pandas as pd</text>
<text x="36" y="164">from sklearn.model_selection import train_test_split</text>
<text x="36" y="210">X_train, X_test = train_test_split(X, test_size=0.2)</text>
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<text x="0" y="42">{ "accuracy": 0.93, "f1": 0.91, "latency_ms": 42 }</text>
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<text x="0" y="52" fill="rgba(255,255,255,0.82)">고객 문의를 요약하고 분류한 뒤, 답변 초안을 생성해줘.</text>
<text x="0" y="104" fill="rgba(255,255,255,0.72)">입력: CSV / 출력: 대시보드 + 자동메일</text>
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<text x="0" y="0" fill="rgba(255,255,255,0.92)">RESPONSE</text>
<text x="0" y="52" fill="rgba(255,255,255,0.82)">- 요약: 결제/환불 문의 비중 증가</text>
<text x="0" y="98" fill="rgba(255,255,255,0.82)">- 분류: Billing / Support / Feature</text>
<text x="0" y="144" fill="rgba(255,255,255,0.74)">- 자동화: 템플릿 메일 + KPI 대시보드 업데이트</text>
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<text x="0" y="150">latency: 38ms</text>
<text x="240" y="150">throughput: 2.1k/day</text>
<text x="520" y="150">f1: 0.92</text>
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