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LLM의 롱 컨텍스트 처리를 가능하게 하는 KV Cache의 원리부터 메모리 소비 분석, MQA·GQA·PagedAttention·슬라이딩 윈도우·Ring Attention 등 최적화 기법, 모델별 컨텍스트 윈도우 비교, Needle-in-a-Haystack 벤치마크까지 실무 관점에서 포괄적으로 다룹니다.
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