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<p>새 신용평가모형은 카카오뱅크가 2018년 11월 금융서비스 시작 바로 이후 쌓아온 대출 사용 고객들의 금융 거래 정보를 분석해 적용하는 방법이다. 저기에 이동통신 3사가 보유한 통신비 정상 납부 기간이나 데이터 평균 이용량 등 통신과금 서비스 이용 아이디어 등도 추가해 신용평가에 활용하고 있을 것입니다.</p>

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AI hallucination rates are now benchmark-dependent. A model can look solid yet fail at 30.2% on the HalluHard test. Whether you use Vectara HHEM or AA-Omniscience, your choice of metric defines your risk

In 2026, "hallucination rate" is meaningless without context. Benchmarks like Vectara HHEM and AA-Omniscience yield different results, reflecting how you test. With $82 billion in AI-related losses, you must look past vendor hype

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**Short Description (249 characters):** In 2026, LLM reliability depends entirely on your benchmark. Whether you’re tracking the 30.2% failure rate on HalluHard or using Vectara’s HHEM to verify accuracy, generalized scores don't reflect your reality