[G1-Sync] Manual knowledge update
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id: P-REINFORCE-AUTO-ATME-001
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id: [[P-Reinforce]]-AUTO-ATME-001
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category: "10_Wiki/💡 Topics/AI"
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confidence_score: 1.00
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tags: [auto-reinforced, attention-mechanisms, transformer, deep-learning, neural-networks, ai-architecture]
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tags: [auto-reinforced, attention-mechanisms, transformer, [[Deep-Learning]], neural-networks, ai-[[Architecture]]]
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last_reinforced: 2026-04-20
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- **정책 변화(RL Update)**: 연산 비용 최적화 정책을 위해, 무거운 Full-attention 대신 연산량을 줄인 'Flash Attention'이나 'Linear Attention' 정책이 소형 모델 및 엣지 장치용 AI 정책의 핵심 기술로 채택됨.
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## 🔗 지식 연결 (Graph)
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- [[Transformers]], Deep Learning, Natural Language Processing (NLP), Information-Overload, Economics of Attention
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- **Modern Tech/Tools**: Multi-head Attention, FlashAttention, GPT, BERT.
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- [[Transformers]], Deep Learning, Natural Language [[Processing]] (NLP), Information-Overload, Economics of Attention
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- **Modern Tech/Tools**: Multi-head Attention, FlashAttention, GPT, [[BERT]].
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