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1.0 KiB
id, title, category, status, canonical_id, duplicate_of, aliases, source_trust_level, confidence_score, verification_status, tags, last_reinforced, github_commit
| id | title | category | status | canonical_id | duplicate_of | aliases | source_trust_level | confidence_score | verification_status | tags | last_reinforced | github_commit | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wiki-2026-0508-foundational-llm-concepts | Foundational LLM Concepts | 10_Wiki/Topics | duplicate | wiki-2026-0508-foundation-models | Foundation-Models |
|
A | 0.92 | redirected |
|
2026-05-10 | 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 |