9798249049621 - engineering ai agents with gemini deep research api: the complete guide to building autonomous agents de tinline, anthony (4 resultados)
- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 28,89
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 27,32
Envío por EUR 4,87Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 28,88
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Engineering AI Agents with Gemini Deep Research API: The Complete Guide to Building Autonomous AgentsMost AI agents fail for predictable reasons. They hallucinate. They lose context. They burn tokens without delivering value. Teams invest weeks wiring prompts together, only to discover their… "agent" is just a fragile script wrapped in hype.Engineering AI Agents with Gemini Deep Research API gives you a production-grade path forward. This book shows you how to design, build, and operate autonomous AI agents that reason over real data, conduct structured research, call tools safely, and make decisions with measurable reliability. Instead of scattered experiments, you'll build systems that stand up to real workloads.Centered on the Gemini Deep Research API, this guide walks through the architecture patterns that matter: memory buffers, multi-step reasoning workflows, tool orchestration, cost control, evaluation pipelines, and safety guardrails. You'll move beyond prompt tinkering into structured agent engineering grounded in modern LLMOps principles.Inside, you'll learn how to: Architect autonomous AI agents with scalable reasoning loopsIntegrate the Gemini API into research-driven workflowsImplement tool calling, retrieval, and memory systemsDesign evaluation and monitoring frameworks for reliabilityControl latency, token usage, and operational costDeploy agents securely in production environmentsWant agents that can research, synthesize, validate, and act with minimal supervision? Curious how to build AI systems that don't collapse under complexity?This is your blueprint for building real autonomous agents, not prototypes.If you're an AI engineer, architect, or technical founder ready to build intelligent systems that perform under pressure, start here. Add this book to your toolkit and begin engineering AI agents that deliver measurable results. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 31,32
Envío por EUR 43,28Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Engineering AI Agents with Gemini Deep Research API: The Complete Guide to Building Autonomous AgentsMost AI agents fail for predictable reasons. They hallucinate. They lose context. They burn tokens without delivering value. Teams invest weeks wiring prompts together, only to discover their… "agent" is just a fragile script wrapped in hype.Engineering AI Agents with Gemini Deep Research API gives you a production-grade path forward. This book shows you how to design, build, and operate autonomous AI agents that reason over real data, conduct structured research, call tools safely, and make decisions with measurable reliability. Instead of scattered experiments, you'll build systems that stand up to real workloads.Centered on the Gemini Deep Research API, this guide walks through the architecture patterns that matter: memory buffers, multi-step reasoning workflows, tool orchestration, cost control, evaluation pipelines, and safety guardrails. You'll move beyond prompt tinkering into structured agent engineering grounded in modern LLMOps principles.Inside, you'll learn how to: Architect autonomous AI agents with scalable reasoning loopsIntegrate the Gemini API into research-driven workflowsImplement tool calling, retrieval, and memory systemsDesign evaluation and monitoring frameworks for reliabilityControl latency, token usage, and operational costDeploy agents securely in production environmentsWant agents that can research, synthesize, validate, and act with minimal supervision? Curious how to build AI systems that don't collapse under complexity?This is your blueprint for building real autonomous agents, not prototypes.If you're an AI engineer, architect, or technical founder ready to build intelligent systems that perform under pressure, start here. Add this book to your toolkit and begin engineering AI agents that deliver measurable results. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
