Current, practical books for engineers building LLM, agent, RAG, and ML systems in production rather than just reading about AI from the sidelines.
Chip Huyen · 2024
A current O'Reilly book focused on building applications with foundation models, selected as the practical anchor for modern AI engineering.
Still one of the strongest bridges from model-building to reliable, maintainable production ML systems.
A hands-on route through tokenization, attention, GPT-style architecture, pretraining, and fine-tuning.
Sebastian Raschka · 2024
Jay Alammar, Maarten Grootendorst · 2024
Valliappa Lakshmanan, Hannes Hapke · 2025
Paul Iusztin, Maxime Labonne, Alex Vesa · 2024
Micheal Lanham · 2025