AI Engineering 관련 자료들 모음

(github.com/chiphuyen)

Chip Huyen이 "AI Engineering" 책을 쓰면서 참고했던 1200개 이상의 링크와 1000개 이상의 AI Github Repo중에서 가장 도움 되는 것들만을 추린 것
책의 각 챕터별로 연관된 중요 링크와 간단한 요약이 포함되어 있음

ML Theory Fundamentals
Chapter 1. Planning Applications with Foundation Models
Chapter 2. Understanding Foundation Models
- Training large models
- Sampling
- Context length and context efficiency
Chapters 3 + 4. Evaluation Methodology
Chapter 5. Prompt Engineering
- Prompt engineering guides
- Defensive prompt engineering
Chapter 6. RAG and Agents
- RAG
- Agents
Chapter 7. Finetuning
Chapter 8. Dataset Engineering
- Public datasets
Chapter 9. Inference Optimization
Chapter 10. AI Engineering Architecture and User Feedback
Bonus: Organization engineering blogs

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