Engineering LLM Powered AI Agents: Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination - Couverture souple

Livre 2 sur 3: Applied Large Language Model Engineering Series

Ming, Alex

 
9798249393052: Engineering LLM Powered AI Agents: Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination
Couverture souple
ISBN 13 : 9798249393052
Editeur : Independently published, 2026

Synopsis

As large language models evolve, they are increasingly embedded within autonomous or semi-autonomous systems capable of reasoning, planning, and interacting with tools. Engineering LLM-Powered AI Agents explores how to design structured agent architectures that extend beyond simple text generation.
This book presents engineering patterns for:

  1. Agent planning and reasoning loops
  2. Tool integration and API orchestration
  3. Memory systems and context management
  4. Retrieval-augmented generation (RAG)
  5. Multi-agent communication models
  6. Guardrails and controlled autonomy
  7. Evaluation of agent reliability and behavior
Rather than presenting abstract concepts, this volume emphasizes architectural clarity and practical implementation approaches. Readers will learn how to decompose complex workflows into modular components, design robust interaction loops, and measure system behavior under varied conditions.
The book is suited for AI engineers, solution architects, and developers who want to build structured, extensible agent systems grounded in responsible design principles.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2026
Langue
anglais
ISBN 13 
9798249393052
Reliure
Broché
Nombre de pages
276
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxembourg