37 lines
1.1 KiB
Markdown
37 lines
1.1 KiB
Markdown
---
|
|
id: wiki-2026-0508-instruction-tuning
|
|
title: Instruction Tuning
|
|
category: 10_Wiki/Topics
|
|
status: duplicate
|
|
canonical_id: wiki-2026-0508-fine-tuning
|
|
duplicate_of: "[[Fine-tuning]]"
|
|
aliases: [instruction tuning, IFT, FLAN, Alpaca, ShareGPT]
|
|
source_trust_level: A
|
|
confidence_score: 0.96
|
|
verification_status: redirected
|
|
tags: [duplicate, instruction-tuning, sft]
|
|
last_reinforced: 2026-05-10
|
|
github_commit: pending
|
|
---
|
|
|
|
# Instruction Tuning
|
|
|
|
> **이 문서는 [[Fine-tuning]] 의 specialization 입니다.** Canonical 문서로 redirect.
|
|
|
|
## 핵심 요약 (instruction-specific)
|
|
- 매 (instruction, response) pair 의 SFT.
|
|
- 매 FLAN (Wei 2021), Alpaca, ShareGPT, Dolly.
|
|
- 매 RLHF / DPO 의 의 의 prerequisite.
|
|
- 매 LIMA (1000 high-quality > 100k noisy) 매 data quality emphasis.
|
|
- 매 modern: 매 multi-turn + tool use + reasoning data.
|
|
|
|
## 🔗 Graph
|
|
- 부모: [[Fine-tuning]] (canonical)
|
|
- Adjacent: [[Foundation-Models]] · [[GRPO]]
|
|
|
|
## 🕓 변경 이력
|
|
| 날짜 | 변경 |
|
|
|---|---|
|
|
| 2026-05-08 | Phase 1 |
|
|
| 2026-05-10 | 중복 처리 — canonical 문서로 redirect |
|