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AI Agents - The Definitive Guide
AI Agents - The Definitive Guide
Knygos.lt klubas Knygos.lt nariams
101,00 €
-30%
Įprastai
144,29 €
  • Planuojame turėti už 88 d.
As AI agents move from research labs into production, engineering teams face mounting challenges--fragile tools, rising inference costs, erratic behavior, and unmet expectations. AI Agents: The Definitive Guide addresses what most books avoid: how to design, deploy, and maintain autonomous LLM agents that actually work in the real world. Written by Nicole Koenigstein, a leader in agentic AI with deep experience across finance, research, and engineering, this book offers the practical, system-le…

AI Agents - The Definitive Guide (el. knyga) (skaityta knyga) | knygos.lt

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Aprašymas

As AI agents move from research labs into production, engineering teams face mounting challenges--fragile tools, rising inference costs, erratic behavior, and unmet expectations. AI Agents: The Definitive Guide addresses what most books avoid: how to design, deploy, and maintain autonomous LLM agents that actually work in the real world. Written by Nicole Koenigstein, a leader in agentic AI with deep experience across finance, research, and engineering, this book offers the practical, system-level foundations needed to build robust, scalable, and secure agentic systems.

Whether you're tasked with making agent prototypes production-ready or building mission-critical automation from the ground up, this book guides you through every layer of the stack. It covers architectures, tool integration, performance optimization, safety strategies, and advanced evaluation, with a relentless focus on reliability and long-term value.

  • Design agent systems using modern frameworks like Reflexion, ReAct, and LangGraph
  • Optimize deployment with advanced model techniques and GPU-aware inference strategies
  • Securely integrate agents with tools using sandboxing, API contracts, and interface isolation
  • Build rigorous agent evaluation pipelines and address "agent-washing" failures
  • Scale fault-tolerant agents across orchestration platforms like Ray and Kubernetes
  • Apply debugging and monitoring practices to ensure safe agent reasoning and execution
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As AI agents move from research labs into production, engineering teams face mounting challenges--fragile tools, rising inference costs, erratic behavior, and unmet expectations. AI Agents: The Definitive Guide addresses what most books avoid: how to design, deploy, and maintain autonomous LLM agents that actually work in the real world. Written by Nicole Koenigstein, a leader in agentic AI with deep experience across finance, research, and engineering, this book offers the practical, system-level foundations needed to build robust, scalable, and secure agentic systems.

Whether you're tasked with making agent prototypes production-ready or building mission-critical automation from the ground up, this book guides you through every layer of the stack. It covers architectures, tool integration, performance optimization, safety strategies, and advanced evaluation, with a relentless focus on reliability and long-term value.

  • Design agent systems using modern frameworks like Reflexion, ReAct, and LangGraph
  • Optimize deployment with advanced model techniques and GPU-aware inference strategies
  • Securely integrate agents with tools using sandboxing, API contracts, and interface isolation
  • Build rigorous agent evaluation pipelines and address "agent-washing" failures
  • Scale fault-tolerant agents across orchestration platforms like Ray and Kubernetes
  • Apply debugging and monitoring practices to ensure safe agent reasoning and execution

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