37 lines
1.0 KiB
Markdown
37 lines
1.0 KiB
Markdown
---
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id: wiki-2026-0508-foundational-llm-concepts
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title: Foundational LLM Concepts
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category: 10_Wiki/Topics
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status: duplicate
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canonical_id: wiki-2026-0508-foundation-models
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duplicate_of: "[[Foundation-Models]]"
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aliases: [LLM concepts, LLM foundations, GPT basics]
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source_trust_level: A
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confidence_score: 0.92
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verification_status: redirected
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tags: [duplicate, llm, foundation-models]
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last_reinforced: 2026-05-10
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github_commit: pending
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---
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# Foundational LLM Concepts
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> **이 문서는 [[Foundation-Models]] 의 중복본입니다.** Canonical 문서로 redirect.
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## 핵심 요약
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- 매 transformer + attention.
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- 매 pretraining + fine-tune + RLHF.
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- 매 scaling laws.
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- 매 emergent capability.
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- 매 prompt engineering / RAG / agent.
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## 🔗 Graph
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- 부모: [[Foundation-Models]] (canonical)
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- Adjacent: [[Fine-tuning]] · [[Flash Attention]] · [[Prompt-Engineering]] · [[RAG]]
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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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