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Agentic Frameworks in Distributed Computing: LLM Orchestration, Cooperative Task Delegation, and Decentralized Workflow Design for Experienced AI Prac
Paperback
Publisher: Independently Published
Published: May 12 2026
Pages: 280
Weight: 1.08
Height: 0.59 Width: 7.00 Depth: 10.00
Language: English
Each chapter addresses a distinct architectural concern with analytical precision. Readers will examine how LLM-powered agents are embedded within distributed runtimes, how cooperative delegation protocols are formalized and enforced, how workflow graphs are constructed to tolerate non-deterministic outputs, and how observability and governance are applied to agentic systems operating at production scale. The treatment is technical throughout grounded in systems thinking, informed by current framework implementations, and oriented toward practitioners who design rather than consume these technologies.
No prior exposure to agentic AI is assumed to be absent rather, prior depth in distributed systems or machine learning engineering is assumed to be present. This book extends that existing foundation into the rapidly evolving domain of autonomous, cooperative AI infrastructure.
For AI practitioners ready to engage with the architectural complexity of distributed agentic systems at a professional level, this book offers the analytical depth and structural clarity that the subject demands. Secure your copy and bring precision to one of the most consequential engineering domains in contemporary AI development.
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