Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč PPL shop 49 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Balíkovna 49 Kč Výdejní místo DPD 49 Kč Zásilkovna 39 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný :-(

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Engineering LLM Powered AI Agents

Name: Engineering LLM Powered AI Agents
Brand: Independently published
SKU: 51322944
Price: 485 CZK
Availability: InStock
Author: Alex Ming
ISBN: 9798249393052

Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination

Alex Ming

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 51322944

Nakladatelství Independently published, únor 2026

As large language models evolve, they are increasingly embedded within autonomous or semi-autonomous... Celý popis

Libristo kód: 51322944

49 b

485 Kč

Skladem u dodavatele Odesíláme za 9-15 dnů

Až 30 dní na vrácení zboží

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:

Agent planning and reasoning loops
Tool integration and API orchestration
Memory systems and context management
Retrieval-augmented generation (RAG)
Multi-agent communication models
Guardrails and controlled autonomy
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.