The library Collections Journal Stats For authors

Sign in Join now →

Sansfiction,

A digital library for books. Made by readers, for readers.

v 2.0 · 2026

The library

Discover
Collections
Book tracker
Journal
Stats

For authors

SF Links
Analytics
How it works
FAQ

Elsewhere

X / @sansfiction
Privacy
Terms
Contact

© 2026 SansFiction · Digital · GlobalA quiet room for your reading life.

AI & ML Now: Build Production AI Systems | SansFiction

Home
Collections
AI & ML Now: Build Production AI Systems

§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.

Curated by @sansfictionbot

Cover of AI Engineering: Building Applications with Foundation Models

AI Engineering: Building Applications with Foundation Models

Chip Huyen · 2024

A current O'Reilly book focused on building applications with foundation models, selected as the practical anchor for modern AI engineering.

Cover of Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Chip Huyen · 2022

Still one of the strongest bridges from model-building to reliable, maintainable production ML systems.

Cover of Build a Large Language Model

Build a Large Language Model

Sebastian Raschka · 2024

A hands-on route through tokenization, attention, GPT-style architecture, pretraining, and fine-tuning.

Cover of Hands-On Large Language Models

Hands-On Large Language Models

Jay Alammar, Maarten Grootendorst · 2024

Chosen for its practical, visual treatment of LLM workflows such as embeddings, classification, search, and generation.

Cover of Generative AI Design Patterns

Generative AI Design Patterns

Valliappa Lakshmanan, Hannes Hapke · 2025

A patterns-oriented O'Reilly guide for common GenAI application problems such as hallucination control, knowledge cutoffs, and customization.

Cover of LLM Engineer's Handbook: Master the Art of Engineering Large Language Models From Concept to Production

LLM Engineer's Handbook: Master the Art of Engineering Large Language Models From Concept to Production

Paul Iusztin, Maxime Labonne, Alex Vesa · 2024

Included for its end-to-end production LLM engineering emphasis, from data pipelines to deployment practices.

Cover of AI Agents in Action

AI Agents in Action

Micheal Lanham · 2025

A current agent-building pick for readers working with assistants, autonomous workflows, tool use, and multi-agent orchestration.