요약
AI & ML 도메인에 대한 지식과 도구들을 정리한 맵입니다.
Foundational Concepts
Fine-tuning
- Fine-tuning
- Full Fine-tuning · PEFT
- SFT · RLHF · DPO
RAG (Retrieval Augmented Generation)
전체 기법 로드맵은 Advanced RAG Techniques 참고 (29+개 기법을 단계별 정리).
기초
대표 고급 기법
- HyDE (Hypothetical Document Embedding) · HyPE (Hypothetical Prompt Embedding)
- Self-RAG · Corrective RAG (CRAG)
- RAPTOR (Recursive Abstractive Processing for Tree-Organized Retrieval)
- Fusion Retrieval · Ensemble Retrieval
Graph RAG 계열
- Graph RAG — 개념 개요
- Knowledge Graph · Graph Database
- Microsoft GraphRAG · AWS GraphRAG Toolkit · Graph RAG with LangChain
MLOps
허브: LLMOps
- RAGOps
- Data Drift · Concept Drift · Model Drift
- Test Slicing · Synthetic Data Generation
- LLMOps Core Elements
Agent Frameworks
허브: Agno — 초경량 AI 에이전트 프레임워크 (구 Phidata). Agent → Team → Workflow 3계층
- Agno Agent · Agno Team · Agno Workflow
- Agno AgentOS · Agno Context Engineering · Agno Session State
- Agno Knowledge & Memory · Agno Tools & Guardrails · Agno Hooks
- Agno Reasoning Tools · Agno Reasoning Model
- Agno Multimodal · Agno HITL
- Agno 프레임워크 비교