Zyren Aurev (19 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Everyone has an opinion about AI. Almost no one can explain how it actually works. FRONTIER AI MODELS pulls back the curtain on the three systems reshaping how the world writes, codes, and thinks: GPT, Claude, and Gemini. Written for curious readers with zero technical background, this book explains, in plain and precise language, how these systems are built, what they can genuinely do, and where they still get things wrong without the hype and without the jargon. This is not another breathless prediction about the future of AI. It's a clear-eyed, rigorously researched guide to the technology already running in your pocket, your inbox, and your workplace right now. INSIDE THIS BOOK, YOU'LL DISCOVER: - How neural networks and the transformer architecture actually work, explained through plain-language analogies, not equations- What truly separates GPT, Claude, and Gemini, and how each company's philosophy shapes the personality of its model- Why AI systems confidently make things up, and why that problem is far harder to fix than most people realize- What "agentic AI" really means, and why it's the shift most likely to change how you work in the next few years- The billion-dollar infrastructure race behind every chatbot response, from GPU shortages to custom silicon- The open, unresolved questions on AI safety, jobs, and daily life that even the companies building this technology haven't answered Written by Zyren Aurev for general readers, professionals, students, and anyone tired of feeling lost in AI headlines, FRONTIER AI MODELS moves chapter by chapter from foundational concepts to a full breakdown of each major model, then zooms out to the bigger picture: the safety race, the competitive landscape, and what it all means for work and daily life. No coding experience required. No prior knowledge assumed. Just a clear, honest map of the most important technology of our time, and the companies racing to build it. If you've ever wondered what's really happening behind the chat window, this is the book that finally explains it. Scroll up and grab your copy today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. Neuware.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. THE OPENCLAW AI WORKFORCEWhat if your AI assistant could do more than answer questions?What if it could plan tasks, use tools, work with files, interact with applications, execute workflows, and coordinate with other AI agents to accomplish real-world objectives?The OpenClaw AI Workforce is a practical guide to building and using autonomous AI agents with OpenClaw-the emerging approach to turning AI from a conversational tool into a capable digital workforce.Instead of simply explaining what AI agents are, this book focuses on how to build, configure, control, and orchestrate them for practical work.Inside, you will learn how to: Understand the architecture and core concepts behind OpenClawBuild AI agents that can work toward goals instead of simply responding to promptsConfigure agents with the tools, skills, instructions, and context they needAutomate repetitive digital tasks and real-world workflowsCreate intelligent assistants for research, productivity, operations, and everyday workGive agents access to files, applications, APIs, and external toolsDesign reusable Skills that extend what an agent can accomplishBuild structured workflows that combine multiple capabilitiesOrchestrate multi-agent systems where specialized agents collaborate on complex tasksCreate agents that can delegate work and coordinate with other agentsUnderstand agent memory, context, instructions, and executionConnect AI agents to external services and automation workflowsTest, troubleshoot, monitor, and improve agent behaviorApply security, permissions, and practical safeguards to autonomous systemsMove from simple experiments to reliable AI-powered workflowsWhether you are an AI enthusiast, developer, automation builder, entrepreneur, technical professional, or simply interested in the future of intelligent software, this book provides a practical path from understanding AI agents to putting them to work.You will also explore the thinking behind an AI workforce: instead of relying on one general-purpose assistant for everything, you can design specialized agents with different responsibilities, capabilities, and workflows-then coordinate them as a connected system.The goal is not to make AI sound futuristic.The goal is to make it useful.By the end of this book, you will have a stronger understanding of OpenClaw, autonomous AI agents, AI automation, intelligent assistants, Skills, tool use, agent workflows, and multi-agent orchestration and how these concepts can be combined to build practical systems that perform meaningful work.If you are ready to move beyond prompting AI and start building AI systems that can actually work, this book is your starting point. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. MASTER ONNX AND BUILD PRODUCTION-READY AI INFERENCE SYSTEMS.Machine learning does not end with model training. To use an AI model in the real world, you need reliable model conversion, optimized inference, hardware acceleration, scalable deployment, and production monitoring.PRODUCTION ONNX: Model Conversion, Runtime Optimization, Hardware Acceleration, and AI Deployment is a practical technical guide to ONNX and ONNX Runtime, designed for developers, AI engineers, machine-learning engineers, and MLOps practitioners who want to move models from development into production.Inside, you'll learn how to: Understand ONNX models, tensors, operators, and computational graphsConvert PyTorch and other machine-learning models to ONNXValidate and troubleshoot ONNX model conversionOptimize ONNX graphs and improve AI inference performanceApply quantization, INT8, FP16, and reduced-precision inferenceAccelerate inference with CUDA, NVIDIA GPUs, TensorRT, OpenVINO, DirectML, and other execution providersBuild efficient ONNX Runtime inference pipelines and APIsDeploy AI inference services using Docker, Kubernetes, and cloud infrastructureImprove throughput with batching, concurrency, scheduling, and horizontal scalingImplement monitoring, logging, tracing, metrics, and AI observabilitySecure ONNX models, inference APIs, and production deploymentsPerform advanced ONNX Runtime performance tuning and optimizationBuild cross-platform ONNX deployment and optimization pipelinesManage model versions, rollouts, rollbacks, testing, and production reliabilityBalance inference speed, model accuracy, infrastructure cost, and maintainabilityFrom ONNX model conversion and runtime optimization to GPU acceleration, AI deployment, MLOps, and production inference, this book provides a complete path for turning trained machine-learning models into reliable production systems.If you want to understand ONNX, ONNX Runtime, model optimization, quantization, hardware acceleration, and scalable AI inference, PRODUCTION ONNX gives you the practical foundation to build and operate modern machine-learning inference systems.Convert. Optimize. Accelerate. Deploy. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Everyone has an opinion about AI. Almost no one can explain how it actually works. FRONTIER AI MODELS pulls back the curtain on the three systems reshaping how the world writes, codes, and thinks: GPT, Claude, and Gemini. Written for curious readers with zero technical background, this book explains, in plain and precise language, how these systems are built, what they can genuinely do, and where they still get things wrong without the hype and without the jargon. This is not another breathless prediction about the future of AI. It's a clear-eyed, rigorously researched guide to the technology already running in your pocket, your inbox, and your workplace right now. INSIDE THIS BOOK, YOU'LL DISCOVER: - How neural networks and the transformer architecture actually work, explained through plain-language analogies, not equations- What truly separates GPT, Claude, and Gemini, and how each company's philosophy shapes the personality of its model- Why AI systems confidently make things up, and why that problem is far harder to fix than most people realize- What "agentic AI" really means, and why it's the shift most likely to change how you work in the next few years- The billion-dollar infrastructure race behind every chatbot response, from GPU shortages to custom silicon- The open, unresolved questions on AI safety, jobs, and daily life that even the companies building this technology haven't answered Written by Zyren Aurev for general readers, professionals, students, and anyone tired of feeling lost in AI headlines, FRONTIER AI MODELS moves chapter by chapter from foundational concepts to a full breakdown of each major model, then zooms out to the bigger picture: the safety race, the competitive landscape, and what it all means for work and daily life. No coding experience required. No prior knowledge assumed. Just a clear, honest map of the most important technology of our time, and the companies racing to build it. If you've ever wondered what's really happening behind the chat window, this is the book that finally explains it. Scroll up and grab your copy 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.…

Paperback. Condition: new. Paperback. THE OPENCLAW AI WORKFORCEWhat if your AI assistant could do more than answer questions?What if it could plan tasks, use tools, work with files, interact with applications, execute workflows, and coordinate with other AI agents to accomplish real-world objectives?The OpenClaw AI Workforce is a practical guide to building and using autonomous AI agents with OpenClaw-the emerging approach to turning AI from a conversational tool into a capable digital workforce.Instead of simply explaining what AI agents are, this book focuses on how to build, configure, control, and orchestrate them for practical work.Inside, you will learn how to: Understand the architecture and core concepts behind OpenClawBuild AI agents that can work toward goals instead of simply responding to promptsConfigure agents with the tools, skills, instructions, and context they needAutomate repetitive digital tasks and real-world workflowsCreate intelligent assistants for research, productivity, operations, and everyday workGive agents access to files, applications, APIs, and external toolsDesign reusable Skills that extend what an agent can accomplishBuild structured workflows that combine multiple capabilitiesOrchestrate multi-agent systems where specialized agents collaborate on complex tasksCreate agents that can delegate work and coordinate with other agentsUnderstand agent memory, context, instructions, and executionConnect AI agents to external services and automation workflowsTest, troubleshoot, monitor, and improve agent behaviorApply security, permissions, and practical safeguards to autonomous systemsMove from simple experiments to reliable AI-powered workflowsWhether you are an AI enthusiast, developer, automation builder, entrepreneur, technical professional, or simply interested in the future of intelligent software, this book provides a practical path from understanding AI agents to putting them to work.You will also explore the thinking behind an AI workforce: instead of relying on one general-purpose assistant for everything, you can design specialized agents with different responsibilities, capabilities, and workflows-then coordinate them as a connected system.The goal is not to make AI sound futuristic.The goal is to make it useful.By the end of this book, you will have a stronger understanding of OpenClaw, autonomous AI agents, AI automation, intelligent assistants, Skills, tool use, agent workflows, and multi-agent orchestration and how these concepts can be combined to build practical systems that perform meaningful work.If you are ready to move beyond prompting AI and start building AI systems that can actually work, this book is your starting point. 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. MASTER ONNX AND BUILD PRODUCTION-READY AI INFERENCE SYSTEMS.Machine learning does not end with model training. To use an AI model in the real world, you need reliable model conversion, optimized inference, hardware acceleration, scalable deployment, and production monitoring.PRODUCTION ONNX: Model Conversion, Runtime Optimization, Hardware Acceleration, and AI Deployment is a practical technical guide to ONNX and ONNX Runtime, designed for developers, AI engineers, machine-learning engineers, and MLOps practitioners who want to move models from development into production.Inside, you'll learn how to: Understand ONNX models, tensors, operators, and computational graphsConvert PyTorch and other machine-learning models to ONNXValidate and troubleshoot ONNX model conversionOptimize ONNX graphs and improve AI inference performanceApply quantization, INT8, FP16, and reduced-precision inferenceAccelerate inference with CUDA, NVIDIA GPUs, TensorRT, OpenVINO, DirectML, and other execution providersBuild efficient ONNX Runtime inference pipelines and APIsDeploy AI inference services using Docker, Kubernetes, and cloud infrastructureImprove throughput with batching, concurrency, scheduling, and horizontal scalingImplement monitoring, logging, tracing, metrics, and AI observabilitySecure ONNX models, inference APIs, and production deploymentsPerform advanced ONNX Runtime performance tuning and optimizationBuild cross-platform ONNX deployment and optimization pipelinesManage model versions, rollouts, rollbacks, testing, and production reliabilityBalance inference speed, model accuracy, infrastructure cost, and maintainabilityFrom ONNX model conversion and runtime optimization to GPU acceleration, AI deployment, MLOps, and production inference, this book provides a complete path for turning trained machine-learning models into reliable production systems.If you want to understand ONNX, ONNX Runtime, model optimization, quantization, hardware acceleration, and scalable AI inference, PRODUCTION ONNX gives you the practical foundation to build and operate modern machine-learning inference systems.Convert. Optimize. Accelerate. Deploy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…