---
id: wiki-2026-0508-foundational-llm-concepts
title: Foundational LLM Concepts
category: 10_Wiki/Topics
status: duplicate
canonical_id: wiki-2026-0508-foundation-models
duplicate_of: "[[Foundation-Models]]"
aliases: [LLM concepts, LLM foundations, GPT basics]
source_trust_level: A
confidence_score: 0.92
verification_status: redirected
tags: [duplicate, llm, foundation-models]
last_reinforced: 2026-05-10
github_commit: pending
---

# Foundational LLM Concepts

> **이 문서는 [[Foundation-Models]] 의 중복본입니다.** Canonical 문서로 redirect.

## 핵심 요약
- 매 transformer + attention.
- 매 pretraining + fine-tune + RLHF.
- 매 scaling laws.
- 매 emergent capability.
- 매 prompt engineering / RAG / agent.

## 🔗 Graph
- 부모: [[Foundation-Models]] (canonical)
- Adjacent: [[Fine-tuning]] · [[Flash Attention]] · [[Prompt-Engineering]] · [[RAG]]

## 🕓 변경 이력
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | 중복 처리 — canonical 문서로 redirect |
