LLM Engineering Handbook

다이제스트

LLM Engineering 기초

0. Prologue - What is LLM
1. FM_Prompt Engineering
2. Vector DB in LLM
3. Orchestration, RAG
4. Advanced Prompt Engineering
5. Advanced RAG
- LLM의 후처리(Post-processing)
- Query Construction in LLM
6. Deployment
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
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

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