Name: Graph Engineering for Agentic AI Systems (en Inglés)
SKU: 68981661
Price: 54.65 USD
Availability: InStock
Author: Ken Huang
ISBN: 9798171241360

portada Graph Engineering for Agentic AI Systems (en Inglés)

Graph Engineering for Agentic AI Systems (en Inglés)

Formato

Libro Físico

Editorial

Independently Published

Autor

Ken Huang

Idioma

Inglés

N° páginas

364

Encuadernación

Tapa Blanda

ISBN13

9798171241360

Graph Engineering for Agentic AI Systems (en Inglés)

Ken Huang (Autor) · Independently Published · Tapa Blanda

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Reseña del libro "Graph Engineering for Agentic AI Systems (en Inglés)"

Design the topology. Don't inherit it.Most agent systems get their shape by accident - a prompt, then a tool, then a retry, then a second agent because the first one got long. Nobody writes the topology down.Graph engineering is the discipline of declaring it on purpose: the nodes that should be designed, the edges that are legal, the state that travels with each run, and the gates that sit on every irreversible step.Ken Huang writes for engineers who have to ship these systems and then operate them. Fourteen chapters cover: Execution graphs and memory graphs - and what conflating them costs youWhat actually runs under LangGraph, AutoGen GraphFlow, and ADK's Workflow RuntimeWhen a loop is the right answer and a graph is over-engineeringKnowledge graphs as durable agent memorySecurity, identity, and governance for agent graphsTesting, evaluation, and verification that survive productionThe computer science underneath - and what stays true after the name fadesThis paperback edition runs 364 pages and includes a full back-of-book index. Companion code and homework live on GitHub with links in the book.About the author. Ken Huang is CEO and Chief AI Officer at DistributedApps.ai, Co-Chair of AI Safety groups at the Cloud Security Alliance and the OWASP AIVSS project, and Adjunct Professor at the University of San Francisco. He coauthored OWASP's Top 10 for LLM Applications, contributes to the NIST Generative AI Public Working Group, and has published with Springer, Cambridge, Packt, China Machine Press, IEEE, ACM, and Wiley.