Ai agents & developer guides - 3 serie (17 risultati)

Condizione: New.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. AI Voice Agents for Developers: Practical Techniques to Build, Test, and Deploy Voice-Enabled AI That Works in ProductionWhat if your AI voice agent could respond instantly, adapt to interruptions, and handle thousands of live conversations without breaking a sweat? Too many teams discover the hard way that what works in a demo often falls apart in production-laggy replies, clumsy handoffs, or brittle pipelines that crumble under real-world conditions. This book is your field guide to building voice-enabled AI that actually works when it matters most.Inside, you'll find a complete blueprint for creating real-time, production-ready voice agents. Drawing from proven deployments, the book cuts past hype and focuses on the practical techniques that keep latency low, conversations fluid, and systems reliable. Every chapter is anchored by working code, robust architectures, and patterns designed for developers who want to deliver more than a flashy prototype.You'll learn how to: Engineer ultra-low latency pipelines by orchestrating ASR, LLM, and TTS to work in parallel.Apply latency-hiding tricks-like partial transcription prefetching and greeting-first staging-that make agents feel instantaneous.Deploy and tune ASR/TTS engines such as NVIDIA Riva and AWS Pipecat for high-concurrency workloads.Handle edge cases like barge-in, clarifications, and graceful error recovery to keep conversations natural.Benchmark speech-to-speech responsiveness, word error rates, and real-world fluidity with CI-ready test harnesses.Integrate your agents with CRMs, APIs, and data sources without sacrificing responsiveness.Scale reliably with GPU autoscaling, regional deployments, and monitoring strategies built for production.Whether you're building customer support bots, real-time translators, or enterprise-grade virtual assistants, this book arms you with the techniques to make them fast, resilient, and human-friendly.Stop building demos that only shine in controlled environments. Start building voice AI systems that thrive under pressure, scale with demand, and deliver conversations users actually enjoy. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Gemini 3.5 Pro: The Developer Guide to AI Agents gives developers what today's AI landscape desperately lacks: a practical, end-to-end method for building real-world AI agents that actually automate work, improve accuracy, and scale inside production environments.Many teams experiment with AI assistants that sound impressive during demos but fail once they face real documents, unpredictable inputs, or strict performance constraints. Developers are left struggling with inconsistent outputs, unstable pipelines, and costly trial-and-error experimentation. This book solves that problem with a clear, execution-focused framework that shows exactly how to build reliable, multimodal AI agents using Gemini 3.5 Pro.Instead of treating AI as a theoretical exercise, this guide teaches a complete skill set: designing agent workflows, integrating databases and external APIs, implementing retrieval-augmented generation (RAG), building multimodal pipelines for images and PDFs, and handling scheduling, monitoring, logging, and validation. You'll see how to turn Gemini into a dependable automation engine for knowledge assistance, document processing, media analysis, data pipelines, alerts, and enterprise-grade reporting.You will learn how to: - Build intelligent agents with structured outputs, tool integration, and API orchestration- Create robust RAG systems for private knowledge bases and enterprise data- Process invoices, contracts, receipts, forms, images, and scanned documents with high accuracy- Automate scraping, reporting, notifications, and multi-step system workflows- Use context-window management, batching, caching, and multimodal resolution settings to control cost and performance- Set up production-ready logging, safe shutdowns, validation, and auditing for responsible AI use- Deploy agents as backend services using APIs, scheduling, and containerized infrastructureThe book emphasizes real code, operational reliability, and development patterns that scale, not just prompt examples. Every technique is explained clearly, written to run as-is, and designed to accelerate real adoption in modern engineering teams.Whether you are building customer support assistants, document automation pipelines, multimodal workflow tools, or collaborative multi-agent systems, this guide gives you an execution roadmap that reduces risk and speeds up delivery. If you want your AI systems to move beyond simple conversations and start delivering measurable automation outcomes, this is the resource built for you. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. AI Voice Agents for Developers: Practical Techniques to Build, Test, and Deploy Voice-Enabled AI That Works in ProductionWhat if your AI voice agent could respond instantly, adapt to interruptions, and handle thousands of live conversations without breaking a sweat? Too many teams discover the hard way that what works in a demo often falls apart in production-laggy replies, clumsy handoffs, or brittle pipelines that crumble under real-world conditions. This book is your field guide to building voice-enabled AI that actually works when it matters most.Inside, you'll find a complete blueprint for creating real-time, production-ready voice agents. Drawing from proven deployments, the book cuts past hype and focuses on the practical techniques that keep latency low, conversations fluid, and systems reliable. Every chapter is anchored by working code, robust architectures, and patterns designed for developers who want to deliver more than a flashy prototype.You'll learn how to: Engineer ultra-low latency pipelines by orchestrating ASR, LLM, and TTS to work in parallel.Apply latency-hiding tricks-like partial transcription prefetching and greeting-first staging-that make agents feel instantaneous.Deploy and tune ASR/TTS engines such as NVIDIA Riva and AWS Pipecat for high-concurrency workloads.Handle edge cases like barge-in, clarifications, and graceful error recovery to keep conversations natural.Benchmark speech-to-speech responsiveness, word error rates, and real-world fluidity with CI-ready test harnesses.Integrate your agents with CRMs, APIs, and data sources without sacrificing responsiveness.Scale reliably with GPU autoscaling, regional deployments, and monitoring strategies built for production.Whether you're building customer support bots, real-time translators, or enterprise-grade virtual assistants, this book arms you with the techniques to make them fast, resilient, and human-friendly.Stop building demos that only shine in controlled environments. Start building voice AI systems that thrive under pressure, scale with demand, and deliver conversations users actually enjoy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. Gemini 3.5 Pro: The Developer Guide to AI Agents gives developers what today's AI landscape desperately lacks: a practical, end-to-end method for building real-world AI agents that actually automate work, improve accuracy, and scale inside production environments.Many teams experiment with AI assistants that sound impressive during demos but fail once they face real documents, unpredictable inputs, or strict performance constraints. Developers are left struggling with inconsistent outputs, unstable pipelines, and costly trial-and-error experimentation. This book solves that problem with a clear, execution-focused framework that shows exactly how to build reliable, multimodal AI agents using Gemini 3.5 Pro.Instead of treating AI as a theoretical exercise, this guide teaches a complete skill set: designing agent workflows, integrating databases and external APIs, implementing retrieval-augmented generation (RAG), building multimodal pipelines for images and PDFs, and handling scheduling, monitoring, logging, and validation. You'll see how to turn Gemini into a dependable automation engine for knowledge assistance, document processing, media analysis, data pipelines, alerts, and enterprise-grade reporting.You will learn how to: - Build intelligent agents with structured outputs, tool integration, and API orchestration- Create robust RAG systems for private knowledge bases and enterprise data- Process invoices, contracts, receipts, forms, images, and scanned documents with high accuracy- Automate scraping, reporting, notifications, and multi-step system workflows- Use context-window management, batching, caching, and multimodal resolution settings to control cost and performance- Set up production-ready logging, safe shutdowns, validation, and auditing for responsible AI use- Deploy agents as backend services using APIs, scheduling, and containerized infrastructureThe book emphasizes real code, operational reliability, and development patterns that scale, not just prompt examples. Every technique is explained clearly, written to run as-is, and designed to accelerate real adoption in modern engineering teams.Whether you are building customer support assistants, document automation pipelines, multimodal workflow tools, or collaborative multi-agent systems, this guide gives you an execution roadmap that reduces risk and speeds up delivery. If you want your AI systems to move beyond simple conversations and start delivering measurable automation outcomes, this is the resource built for you. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…