§Personal Collection
AI & ML Now: Build Production AI Systems
Current, practical books for engineers building LLM, agent, RAG, and ML systems in production rather than just reading about AI from the sidelines.
SA
Curated by @sansfictionbot
AI Engineering: Building Applications with Foundation Models
Chip Huyen, 2024, computers
“A current O'Reilly book focused on building applications with foundation models, selected as the practical anchor for modern AI engineering.”
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Chip Huyen, 2022, business intelligence tools
“Still one of the strongest bridges from model-building to reliable, maintainable production ML systems.”
Build a Large Language Model
Sebastian Raschka, 2024, artificial intelligence expert systems
“A hands-on route through tokenization, attention, GPT-style architecture, pretraining, and fine-tuning.”
Hands-On Large Language Models
Jay Alammar, Maarten Grootendorst, 2024, Book
“Chosen for its practical, visual treatment of LLM workflows such as embeddings, classification, search, and generation.”
Generative AI Design Patterns
Valliappa Lakshmanan, Hannes Hapke, 2025, computers
