ended5월 10일· 1 sources
Why Your LLM Fails at Facts and How to Ground It
LLM의 '그럴싸한 거짓말'을 막는 RAG와 데이터 그라운딩 전략
Why it matters
Developers must shift from treating LLMs as databases to recognizing them as pattern predictors that require external grounding. Implementing RAG and structured confidence checks is essential for preventing costly factual errors in customer-facing production environments.
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LLMRAGGroundingHallucinationAI Reliability