ODBIERZ TWÓJ BONUS :: »

Context Engineering for Multi-Agent Systems. Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning Denis Rothman

Język publikacji: angielski
Context Engineering  for Multi-Agent Systems. Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning Denis Rothman - okladka książki

Context Engineering  for Multi-Agent Systems. Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning Denis Rothman - okladka książki

Autor:
Denis Rothman
Serie wydawnicze:
Hands-on
Ocena:
Generative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you’ll learn to design, strengthen, and apply across real-world scenarios.
Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you’ll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol (MCP). As the engine evolves, you’ll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You’ll also harden the system into a resilient architecture, then see it pivot seamlessly across domains, from legal compliance to strategic marketing, proving its domain independence.
By the end of this book, you’ll be equipped with the skills needed to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.

Wybrane bestsellery

O autorze książki

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as an automated language teacher for Moët et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an advanced planning and scheduling (APS) solution used worldwide.

Denis Rothman - pozostałe książki

Zobacz pozostałe książki z serii Hands-on

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Sposób płatności