Antigravity Agent
33 lines
870 B
Markdown
33 lines
870 B
Markdown
---
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id: wiki-2026-0508-parameter-efficiency-in-llms
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title: Parameter-Efficiency in LLMs
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category: 10_Wiki/Topics
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status: duplicate
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canonical_id: fine-tuning
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duplicate_of: "[[Fine-tuning]]"
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aliases: []
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source_trust_level: A
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confidence_score: 0.9
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verification_status: redirected
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tags: [duplicate, peft, lora, fine-tuning]
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last_reinforced: 2026-05-10
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github_commit: pending
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---
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# Parameter-Efficiency in LLMs
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> **이 문서는 [[Fine-tuning]] 의 중복본입니다.** Canonical 문서로 redirect.
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## 핵심 요약 (specialization aspects)
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- PEFT family: LoRA, QLoRA, DoRA, IA³, prefix-tuning, prompt-tuning.
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- canonical 의 "PEFT methods" subsection 에 자세한 비교.
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## 🔗 Graph
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- 부모: [[Fine-tuning]] (canonical)
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## 🕓 변경 이력
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | 중복 처리 — canonical 문서로 redirect |
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