Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Large Language Model Agents: Design, Architecture, and Practical Implementation

Large Language Model Agents: Design, Architecture, and Practical Implementation

Wen, Muning
Lin, Jianghao
Zhang, Weinan

Hardcover

Series: Machine Learning: Foundations, Methodologies, and Applications

General ComputersProbability & Statistics

PREORDER - Expected ship date December 16, 2026

ISBN10: 9819258294
ISBN13: 9789819258291
Publisher: Springer
Published: Dec 16 2026
Pages: 387
Language: English

What if you could learn large-model agents not by theory alone, but by building real, working systems from day one? This book offers exactly that: a practice-driven, code-grounded pathway into the rapidly evolving world of intelligent agents powered by large language models (LLM agents).

Designed for AI researchers, practitioners, and postgraduate students, the book reveals why large-model agents matter now--and how their architectures, memory mechanisms, retrieval-augmented generation (RAG), tool-use strategies, and reasoning enhancements come together to form deployable intelligent systems. Rather than repeating definitions, it highlights the real challenges professionals face: How do you design an agent workflow that remains robust under noisy inputs? How do you debug a failing reasoning chain? How can an agent migrate smoothly across models or platforms? Rather than prescribing a single best solution, the book deliberately preserves open design questions and comparative experiments, encouraging readers to develop their own engineering judgment.

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