Tinline Anthony (34 results)

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

Condition: New. Print on Demand.

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

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

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

Paperback. Condition: new. Paperback. The Multi-Agent Systems Handbook: Leveraging MCP and A2A Protocols to Build Modular, Self-Evolving AI WorkforcesMost AI systems stall at the proof-of-concept stage. A single agent works in isolation, tools break under scale, context fragments, and coordination becomes fragile. You end up with impressive demos that collapse in production.This book shows you how to architect AI systems that think, collaborate, and improve over time.The Multi-Agent Systems Handbook delivers a practical, production-focused framework for building modular, interoperable AI workforces using Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication standards. Instead of hard-coding brittle tool calls, you'll design structured tool ecosystems, agent registries, and coordination layers that scale cleanly across teams and environments.Inside, you'll learn how to: Design distributed multi-agent architectures with clear role separationImplement MCP-based tool discovery, authorization, and schema validationOrchestrate agent collaboration with A2A protocols for reliable task delegationBuild memory systems that evolve with usage and feedback loopsEnforce observability, governance, and production-grade safety controlsTransition from single-agent prototypes to modular AI platformsWhether you're an AI Solutions Architect, LLM Engineer, or Multi-Agent Systems Developer, this handbook equips you to move beyond experimental scripts and into scalable AI infrastructure.How do you turn autonomous agents into coordinated digital teams?How do you prevent tool chaos, context drift, and vendor lock-in?How do you design AI systems that grow stronger with use?The answers are here.If you're ready to build AI systems that coordinate, adapt, and endure in production, this handbook is your blueprint. Start building your modular AI workforce today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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

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

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

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

PAP. Condition: 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. Condition: 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. Condition: new. Paperback. Ollama for Local AI Handbook: Run, Optimize, and Ship Private AI Workflows on macOS, Windows, and LinuxTired of sending sensitive prompts, private documents, source code, and workflow data to cloud AI platforms you do not fully control?Ollama for Local AI Handbook gives developers, builders, and serious AI users a practical path to running powerful local AI systems directly on their own machines. Built around Ollama, this handbook shows how to install, run, customize, optimize, and ship private AI workflows across macOS, Windows, and Linux, with a strong focus on real-world implementation rather than theory. The book's structure moves from environment setup and model management to APIs, structured outputs, Modelfiles, performance tuning, private RAG, tool calling, vision models, developer integrations, deployment, and long-term maintenance.Inside, readers learn how to: Run local LLMs confidently with the Ollama CLI and APIChoose the right models for RAM, VRAM, storage, and operating system constraintsBuild private document Q&A, semantic search, and RAG workflowsCreate reliable JSON outputs for automation and application pipelinesCustomize models with Modelfiles for coding, writing, research, and internal toolsConnect Ollama to Open WebUI, VS Code, scripts, and OpenAI-compatible clientsPackage and ship local AI systems other people can run without cloud lock-inWhether you are building a private coding assistant, offline research tool, local automation pipeline, or secure AI workspace, this book helps you turn Ollama into a dependable local AI engine for everyday professional work.Order this book today and start building private, practical, cross-platform AI workflows on your own hardware. 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. Condition: new. Paperback. OpenCL for Edge AI and On-Device Inference: Build High-Performance Mobile and Embedded AI Systems with GPU Acceleration, Computer Vision Pipelines, and Real-Time DeploymentEdge AI promises speed, privacy, and lower cloud costs, but getting models to run smoothly on real mobile and embedded hardware is where most projects break down. Latency spikes, battery drain, limited memory, hardware fragmentation, and unreliable deployment pipelines can turn a promising prototype into a frustrating dead end. This book is built for engineers who need more than theory. It shows how to make on-device inference actually work, and work fast.OpenCL for Edge AI and On-Device Inference gives you a practical path to building GPU-accelerated AI systems for phones, embedded Linux boards, and edge devices. It covers the full implementation pipeline, from setting up OpenCL environments and writing efficient kernels to building inference engines, optimizing computer vision workloads, handling quantization, and shipping real-time applications on Android and embedded platforms. Rather than treating performance as a vague goal, this book focuses on measurable engineering decisions that improve throughput, reduce latency, and help your systems stay reliable under real deployment constraints.Inside, you will learn how to: build OpenCL kernels for AI primitives, tensor operations, and vision workloadsoptimize memory movement, tiling, scheduling, and synchronization for edge hardwarecreate end-to-end inference pipelines for mobile and embedded deploymentintegrate OpenCL with Android, OpenCV, and real-time camera workflowsapply FP16, INT8, and low-precision strategies for faster on-device inferenceprofile, debug, and tune systems for sustained performance, thermal limits, and production stabilityIf you want to build mobile AI, embedded AI, GPU inference, and computer vision systems that are fast, portable, and ready for real-world use, this book gives you the implementation-focused guidance to do it with confidence. Get your copy now and start building edge AI systems that deliver results where they matter most: on the device. 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. Condition: new. Paperback. AI Platform Engineering with MCP Servers: Architect Context-Aware Agent Systems with Observability, Compliance, and Vendor-Neutral DesignYour AI agents work in staging. They break in production. Context leaks. Costs spike. Logs tell you nothing useful. Compliance teams start asking hard questions. Vendor lock-in quietly tightens its grip.Modern AI systems are not just prompts and APIs. They are distributed, stateful, compliance-sensitive platforms that must scale under pressure. If you are building LLM-powered tools without platform-grade architecture, you are gambling with reliability, security, and long-term flexibility.AI Platform Engineering with MCP Servers delivers a practical blueprint for building context-aware agent systems that behave predictably in real-world environments. This book shows how to design MCP server architectures that separate model logic from orchestration, enforce observability from day one, and maintain vendor-neutral portability across model providers and infrastructure stacks.You will learn how to: Design context pipelines that prevent drift and control token costsImplement structured world-state management for deterministic agentsAdd production-grade observability, tracing, and performance metricsEnforce policy, auditability, and compliance boundaries at the platform layerAvoid vendor lock-in through abstraction and protocol-driven designScale multi-agent workflows without losing control of reasoning pathsWhy do most AI projects fail after proof-of-concept? Because they treat AI like a feature instead of a platform. This book shows you how to engineer it properly.If you are an AI platform engineer, enterprise architect, or senior developer responsible for reliability and governance, this is your operational manual.Build systems that think clearly. Operate transparently. Scale responsibly.Get your copy today and start engineering AI the way production demands. 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. Condition: new. Paperback. The Multi-Agent Systems Handbook: Leveraging MCP and A2A Protocols to Build Modular, Self-Evolving AI WorkforcesMost AI systems stall at the proof-of-concept stage. A single agent works in isolation, tools break under scale, context fragments, and coordination becomes fragile. You end up with impressive demos that collapse in production.This book shows you how to architect AI systems that think, collaborate, and improve over time.The Multi-Agent Systems Handbook delivers a practical, production-focused framework for building modular, interoperable AI workforces using Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication standards. Instead of hard-coding brittle tool calls, you'll design structured tool ecosystems, agent registries, and coordination layers that scale cleanly across teams and environments.Inside, you'll learn how to: Design distributed multi-agent architectures with clear role separationImplement MCP-based tool discovery, authorization, and schema validationOrchestrate agent collaboration with A2A protocols for reliable task delegationBuild memory systems that evolve with usage and feedback loopsEnforce observability, governance, and production-grade safety controlsTransition from single-agent prototypes to modular AI platformsWhether you're an AI Solutions Architect, LLM Engineer, or Multi-Agent Systems Developer, this handbook equips you to move beyond experimental scripts and into scalable AI infrastructure.How do you turn autonomous agents into coordinated digital teams?How do you prevent tool chaos, context drift, and vendor lock-in?How do you design AI systems that grow stronger with use?The answers are here.If you're ready to build AI systems that coordinate, adapt, and endure in production, this handbook is your blueprint. Start building your modular AI workforce today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.