A curated list highlights ten essential books for AI and LLM engineers aiming to build production-ready systems. The selection emphasizes practical skills, covering topics from foundational AI engineering principles to advanced techniques like prompt engineering, model fine-tuning, and scalable system design. Key authors featured include Chip Huyen, Paul Iusztin, and Maxime Labonne, whose works are recommended for developers seeking to transition from theoretical knowledge to practical application in the rapidly evolving AI landscape. AI
IMPACT Provides a curated roadmap for AI engineers to deepen their understanding of foundational concepts and practical applications in LLM development and system design.
RANK_REASON The article is a curated list of books, offering commentary and recommendations rather than reporting on a new event.
- AI Engineering
- Chip Huyen
- Claypot AI
- LLMs
- Louie Peters
- Louis-François Bouchard
- Maxime Labonne
- NeMo
- Netflix
- NVIDIA
- Paul Iusztin
- Sebastian Raschka
- Stanford University
- Towards AI
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