- AI Engineering - Chip Huyen - 2025 - The definitive guide to building production AI systems with LLMs — foundation models, RAG, fine-tuning, agents, and evals. Start here.
- Build a Large Language Model (From Scratch) - Sebastian Raschka - 2024 - Builds a GPT-style LLM step by step in PyTorch — the best way to truly understand what's inside any model.
- The LLM Engineering Handbook - Iusztin & Labonne - 2024 - End-to-end guide for shipping LLM applications: RAG, vector search, prompt chaining, fine-tuning, evals, and LLMOps.
- Prompt Engineering for LLMs - Berryman & Ziegler - 2024 - Systematic prompt engineering from two core GitHub Copilot engineers — treats prompts as first-class engineering artifacts.
- Designing Multi-Agent Systems - Victor Dibia - 2025 - Framework-agnostic guide to building reliable AI agent systems: orchestration patterns, memory, evaluation, and failure modes.
- Generative AI Design Patterns - Cihan Biyikoglu - 2025 - 32 reusable patterns for RAG, reasoning chains, multi-modal systems, and agentic architectures.