Files
2nd/10_Wiki/Topics/AI_and_ML/Foundational LLM Concepts.md
T
2026-05-10 22:08:15 +09:00

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
LLM concepts
LLM foundations
GPT basics
A 0.92 redirected
duplicate
llm
foundation-models
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

🕓 변경 이력

날짜 변경
2026-05-08 Phase 1
2026-05-10 중복 처리 — canonical 문서로 redirect