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LLM을 프로토타입에서 프로덕션으로 가져가는 여정은 Jupyter 노트북의 데모와 다르다. RAG 파이프라인 설계, eval harness 구축, fine-tuning 결정 트리, LLMOps 관측 가능성, Guardrails와 안전성, Prompt Caching과 비용 최적화까지 2025-2026년 AI 엔지니어의 현장 가이드를 500줄로 정리한다.
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