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AI Safety의 모든 것! Alignment 문제(목표 정렬), RLHF/DPO/Constitutional AI, 편향(Bias) 감지/완화, 환각(Hallucination) 방지, 레드팀 테스팅, AI Guardrails, 해석 가능성(SHAP/LIME), EU AI Act, 기업의 Responsible AI 프레임워크.
Alignment
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- Published on
AI 윤리, 안전성, 정렬(Alignment)을 완전히 이해하는 가이드. Hallucination, 편향성, 개인정보, RLHF, Constitutional AI, AI Safety 연구 최전선까지 AI 개발자가 반드시 알아야 할 내용을 다룹니다.- Published on
LLM 정렬 기술의 핵심 논문들을 심층 분석합니다. InstructGPT의 RLHF 파이프라인, Anthropic의 Constitutional AI, DPO의 수학적 기반, PPO 학습 안정성, 그리고 KTO/IPO/ORPO 등 최신 연구까지 체계적으로 비교하고 실무 적용 방안을 정리합니다.- Published on
RLHF의 한계를 극복한 DPO, IPO, KTO 등 최신 인간 피드백 정렬 기법의 논문 리뷰와 TRL 기반 실전 구현 가이드. 알고리즘 비교, 하이퍼파라미터 튜닝, 실패 사례까지.