Multi-Agent AI Engineering. Design, build, and operate AI systems that think and act as coordinated teams Xiao Ma, Chi Wang

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Autorzy:: Xiao Ma, Chi Wang
Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:

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149,00 zł

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As AI systems take on more complex tasks, the limits of single-model applications become increasingly clear. Problems requiring long-horizon reasoning, specialized expertise, coordination, and parallel execution demand multiple agents working together reliably in production.
But building multi-agent systems is fundamentally an engineering challenge. Agents must communicate, delegate tasks, manage context, recover from failures, and stay aligned on shared goals under real-world constraints.
Multi-Agent AI Engineering is a practical guide to designing and operating production-grade multi-agent systems. Drawing on the authors’ research, open-source contributions, and experience building AI systems at scale, the book focuses on architectural principles that extend beyond any single framework or trend.
You’ll explore agent foundations, communication protocols, memory and context management, orchestration, interoperability standards, and canonical multi-agent patterns through hands-on Python examples. The book also covers production realities including evaluation, observability, reliability, safe self-improvement, and scaling agentic systems in practice.
By the end, you’ll be equipped to design, build, and scale reliable multi-agent systems for real-world deployment.

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O autorach książki

Xiao Ma is an engineering executive with 15+ years of experience in ML/AI systems across academia and industry. He holds a Ph.D. in Computer Science from the University of Illinois, specialized in the intersection of machine learning and computer systems. As Chief Architect at Pattern Insight and Medium, he led teams developing large-scale ML systems for both enterprise and consumer markets. Currently at Splunk, a Cisco Company, he leads teams building Splunk Observability Cloud, a full-stack solution (connecting infrastructure, applications, and business impact) featuring enterprise-class multi-agent AI systems and industry-leading AI Observability products that empower customers to innovate with confidence at scale.

Chi Wang is the creator of AutoGen, AG2, MassGen, Sutando — open-source projects for agentic AI used by Nvidia, Google, Microsoft, and leading research institutions worldwide. He previously led agentic AI work as a Senior Staff Research Scientist at Google DeepMind, pioneered agentic AI research at Microsoft Research, and created FLAML for AutoML. He teaches at Stanford, Berkeley, Coursera, and DeepLearning.AI. His work has earned the UIUC Siebel School Early Career Alumni Achievement Award, Best Paper at the ICLR'24 LLM Agents Workshop, and the SIGKDD PhD Dissertation Award.

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Szczegóły książki

Tytuł oryginału:: Multi-Agent AI Engineering. Design, build, and operate AI systems that think and act as coordinated teams
ISBN Ebooka:: 978-18-066-9086-2, 9781806690862
Data wydania ebooka :: 2026-06-30 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: angielski

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