LLM Engineering Handbook
Intro
다이제스트
한 주 요약
Patchnote
LLM Engineering 기초
0. Prologue - What is LLM
1. Transformer 아키텍쳐
2. Auto-regressive 모델
3. DPO, RLHF
Template example
1. FM_Prompt Engineering
Benchmarking
Foundation Models
LLM의 프롬프트 엔지니어링 기본
샘플링과 구조화된 아웃라인
Template example
2. Vector DB in LLM
Embedding Models
Ingesting in LLM
Splitting in LLM
Vector DB in LLM
3. Orchestration, RAG
LLM 평가
메모리(Memory) in LLM
Orchestrators
Retrievers in LLM
4. Advanced Prompt Engineering
Ask for Context in LLM
Least to most
Tree of Thoughts
5. Advanced RAG
LLM의 후처리(Post-processing)
Query Construction in LLM
6. Deployment
Demo in LLM
Edge in LLM
Local in LLM
서버
7. Inference Optimization
KV-Cache
Quantization in LLM
8. Security - Hacking & Guardrails in LLM
프롬프트 가드레일(Prompt Guardrail)
프롬프트 해킹(Prompt Hacking)
9. Agents and Tools in LLM
에이전트(Agents) in LLM
Reflections in LLM
사용자 도구
10. Finetuning For Llms
Finetuning Basics
LoRA
11. Embedding And Model Combining
Combining Multiple Models (Ensemble) in LLM
Customize Embeddings & Model Architecture
12. Extra materials
Advanced
MCP
Newly Discovered
Newly Discovered
Contributor Guide
Contributor’s guide
.md
.pdf
repository
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