Festa Smith (52 results)

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Paperback. Condition: new. Paperback. Hermes Agent in Action: Build Autonomous AI Applications with Memory, MCP, Tool Calling, RAG, and Multi-Agent Workflows Artificial intelligence is rapidly moving beyond chatbots and simple text generation. Today's AI applications can remember previous interactions, retrieve trusted knowledge, communicate with external systems, use tools, collaborate with other agents, and automate complex business processes. Hermes Agent in Action is a practical, hands-on guide that teaches you how to design, build, deploy, and scale these next-generation autonomous AI applications using the Hermes Agent framework.Whether you are a software developer, AI engineer, machine learning practitioner, automation specialist, or technology professional, this book provides the practical knowledge needed to build intelligent applications that solve real business problems.Starting with the fundamentals, you'll learn how autonomous AI applications differ from traditional AI systems and how Hermes Agent coordinates reasoning, memory, tool execution, and external integrations. From there, you'll build increasingly capable applications by implementing persistent memory, managing conversations, designing effective agent instructions, integrating APIs, connecting databases, working with files, and extending your applications through the Model Context Protocol (MCP).You'll also master Retrieval-Augmented Generation (RAG), learning how to build intelligent knowledge-aware applications using vector databases, semantic search, and document retrieval techniques that produce more accurate and reliable responses. As your skills grow, you'll explore multi-agent architectures that enable specialized AI agents to collaborate on complex workflows and solve problems more efficiently.Rather than stopping with individual concepts, this book walks you through building complete production-oriented applications, including an intelligent research assistant, an AI customer support application, an AI coding assistant, and workflow automation solutions. These projects demonstrate how memory, MCP, tool calling, RAG, and multi-agent collaboration work together to create practical AI systems that organizations can deploy with confidence.Building an AI application is only part of the process. This book also covers the engineering practices required for production environments. You'll learn how to test and evaluate AI systems, implement authentication and authorization, secure sensitive data, apply responsible AI principles, deploy applications with Docker, monitor production workloads, optimize performance and operational costs, design enterprise-grade architectures, and scale autonomous AI applications to support real users. Inside This Book, You'll Learn How To: Build autonomous AI applications with Hermes Agent from the ground up.Design intelligent agents with memory and long-running conversations.Implement tool calling for APIs, databases, files, and external services.Integrate Model Context Protocol (MCP) into production applications.Build Retrieval-Augmented Generation (RAG) systems using vector databases.Design and orchestrate collaborative multi-agent workflows.Develop practical AI applications for research, coding, customer support, and automation.Secure, test, deploy, monitor, optimize, and scale AI applications using proven engineering practices.Build enterprise-ready AI systems that are reliable, maintainable, and production-ready.By the time you finish this book, you won't just understand Hermes Agent-you'll know how to engineer intelligent AI applications that integrate with modern software systems, automate meaningful work, and operate reliably in production. Start building autonomous AI applications today and turn your ideas into production- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Hermes Agent in Action: Build Autonomous AI Applications with Memory, MCP, Tool Calling, RAG, and Multi-Agent Workflows Artificial intelligence is rapidly moving beyond chatbots and simple text generation. Today's AI applications can remember previous interactions, retrieve trusted knowledge, communicate with external systems, use tools, collaborate with other agents, and automate complex business processes. Hermes Agent in Action is a practical, hands-on guide that teaches you how to design, build, deploy, and scale these next-generation autonomous AI applications using the Hermes Agent framework.Whether you are a software developer, AI engineer, machine learning practitioner, automation specialist, or technology professional, this book provides the practical knowledge needed to build intelligent applications that solve real business problems.Starting with the fundamentals, you'll learn how autonomous AI applications differ from traditional AI systems and how Hermes Agent coordinates reasoning, memory, tool execution, and external integrations. From there, you'll build increasingly capable applications by implementing persistent memory, managing conversations, designing effective agent instructions, integrating APIs, connecting databases, working with files, and extending your applications through the Model Context Protocol (MCP).You'll also master Retrieval-Augmented Generation (RAG), learning how to build intelligent knowledge-aware applications using vector databases, semantic search, and document retrieval techniques that produce more accurate and reliable responses. As your skills grow, you'll explore multi-agent architectures that enable specialized AI agents to collaborate on complex workflows and solve problems more efficiently.Rather than stopping with individual concepts, this book walks you through building complete production-oriented applications, including an intelligent research assistant, an AI customer support application, an AI coding assistant, and workflow automation solutions. These projects demonstrate how memory, MCP, tool calling, RAG, and multi-agent collaboration work together to create practical AI systems that organizations can deploy with confidence.Building an AI application is only part of the process. This book also covers the engineering practices required for production environments. You'll learn how to test and evaluate AI systems, implement authentication and authorization, secure sensitive data, apply responsible AI principles, deploy applications with Docker, monitor production workloads, optimize performance and operational costs, design enterprise-grade architectures, and scale autonomous AI applications to support real users. Inside This Book, You'll Learn How To: Build autonomous AI applications with Hermes Agent from the ground up.Design intelligent agents with memory and long-running conversations.Implement tool calling for APIs, databases, files, and external services.Integrate Model Context Protocol (MCP) into production applications.Build Retrieval-Augmented Generation (RAG) systems using vector databases.Design and orchestrate collaborative multi-agent workflows.Develop practical AI applications for research, coding, customer support, and automation.Secure, test, deploy, monitor, optimize, and scale AI applications using proven engineering practices.Build enterprise-ready AI systems that are reliable, maintainable, and production-ready.By the time you finish this book, you won't just understand Hermes Agent-you'll know how to engineer intelligent AI applications that integrate with modern software systems, automate meaningful work, and operate reliably in production. Start building autonomous AI applications today and turn your ideas int Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Neuware - The Ollama Handbook: Build Powerful Local AI Applications with Open-Source LLMs, RAG, Agents, and Automation Artificial intelligence is no longer limited to cloud platforms and expensive APIs. With Ollama, you can run powerful open-source large language models directly on your own computer, giving you greater privacy, lower costs, and complete control over your AI applications. Whether you're a developer, software engineer, data professional, student, or AI enthusiast, The Ollama Handbook provides the practical knowledge you need to build modern local AI solutions with confidence.Starting with the fundamentals, this book guides you through installing and configuring Ollama, understanding how large language models work, selecting the right open-source models, and mastering prompt engineering. From there, you'll learn how to develop AI-powered applications using the Ollama CLI, REST API, and Python while integrating advanced technologies such as Retrieval-Augmented Generation (RAG), vector databases, AI agents, LangChain, LlamaIndex, and Open WebUI.>Inside this book, you'll learn how to: Install, configure, and manage Ollama effectively.Run and customize open-source LLMs using Modelfiles.Build applications with the Ollama CLI, REST API, and Python.Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases.Develop autonomous AI agents with tool calling and workflow automation.Integrate Ollama with LangChain, LlamaIndex, and Open WebUI.Optimize performance, resource usage, and production deployments.Apply responsible AI, privacy, and security best practices.Build real-world AI projects that you can extend for personal or professional use.Throughout the book, you'll find practical examples, complete code samples, reusable prompt templates, command references, troubleshooting guidance, and proven development practices that help you move from experimentation to building reliable AI applications.If you're ready to unlock the full potential of local AI and build intelligent, private, and production-ready applications without relying on cloud-based services, The Ollama Handbook is the practical guide you've been looking for. Get your copy today and start building the next generation of local AI applications with Ollama.…

Taschenbuch. Condition: Neu. Neuware - Julia for Machine Learning and AI: Build Intelligent Models, Train Neural Networks, and Develop High-Performance AI Applications If you want to move beyond theory and start building real machine learning systems that are fast, reliable, and scalable, this book gives you a clear path forward.Julia for Machine Learning and AI is designed to help you understand not just how models work, but how to build them from the ground up using Julia. You will learn how to work with data, design models, train neural networks, and optimize performance using tools like Flux.jl, all while keeping your code efficient and production-ready.The book starts by helping you build a solid foundation in Julia for numerical computing and data handling. From there, you move into core machine learning concepts, including regression, classification, and model evaluation. You will not just learn definitions-you will implement each concept with working code and understand how it behaves in practice.As you progress, you will explore how to build and train neural networks, understand how optimization works, and learn how to improve model accuracy and stability. You will also see how to handle larger datasets, optimize performance, and scale your systems using parallel and efficient computation techniques.What makes this book especially practical is its focus on complete systems. You will learn how to design data pipelines, deploy models, integrate them into real applications, and monitor them over time. By the end, you will be able to build end-to-end AI systems that go beyond experiments and deliver real value.Throughout the book, you will work on hands-on projects that reflect real-world challenges. These projects help you connect concepts to practical use, so you are not just learning-you are building.Whether you are a developer looking to enter machine learning, a data professional aiming to improve performance and scalability, or someone who wants a clear and structured way to learn AI with Julia, this book gives you the tools and understanding you need.>Start now, write the code, train the models, and create systems that solve real problems.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - Agentic Spec-Driven Software Engineering: A Practical Guide to Requirements Planning, System Design, and AI-Assisted Development Agentic Spec-Driven Software Engineering introduces a modern approach to building software in the age of AI. As development teams increasingly rely on intelligent assistants, code generators, and autonomous agents, the ability to create clear, structured, and actionable specifications has become one of the most valuable skills in software engineering.This book shows you how to move beyond traditional code-first development and adopt a specification-first mindset that places requirements, architecture, quality, and business objectives at the center of every engineering decision. You will learn how AI agents can assist with requirements discovery, system design, architecture evaluation, testing, deployment planning, governance, and continuous improvement while remaining aligned with well-defined specifications.Through practical examples, proven frameworks, real-world case studies, and reusable templates, you will discover how to transform ideas into structured requirements, create high-quality specifications, design scalable architectures, generate implementation plans, automate validation workflows, and build effective multi-agent engineering systems.Inside this book, you will learn how to: - Create clear, complete, and testable software specifications- Use AI agents for requirements planning and discovery- Design architectures directly from documented requirements- Build APIs, data models, and integration strategies from specifications- Generate tests and quality assurance workflows automatically- Maintain alignment between specifications, code, and operations- Establish governance, traceability, and compliance processes- Build AI-native engineering teams and workflows- Prepare for the future of autonomous software developmentWhether you are a software engineer, architect, technical lead, product manager, consultant, founder, or technology leader, this book provides a practical framework for designing and delivering software systems that are more predictable, maintainable, scalable, and aligned with business goals.The future of software engineering belongs to teams that can effectively collaborate with AI while maintaining clarity, control, and engineering discipline. Start building that future today and learn how specification-driven thinking can transform the way you design, develop, and deliver software.…

Taschenbuch. Condition: Neu. Neuware - Mastering Cursor IDE: A Practical Guide to AI-Assisted Programming and Modern Software Development Software development is changing rapidly, and developers who learn to work effectively with AI are gaining a significant advantage. Cursor IDE is at the forefront of this transformation, combining the power of modern code editors with advanced artificial intelligence to help developers write better code, solve problems faster, and build applications more efficiently.Mastering Cursor IDE is a practical, hands-on guide designed to help you unlock the full potential of AI-assisted software development. Whether you are a beginner exploring AI-powered coding tools for the first time or an experienced developer looking to improve productivity and streamline your workflow, this book provides the knowledge and techniques needed to use Cursor confidently in real-world projects.Starting with the fundamentals, you will learn how Cursor works, how to configure your development environment, and how to communicate effectively with AI through prompt engineering techniques. As you progress, you will discover how to use Cursor to build frontend applications, develop backend services, manage databases, create APIs, automate testing, debug complex issues, refactor existing code, and deploy production-ready applications.This book goes beyond simple code generation. You will learn how to use Cursor for software architecture planning, technical documentation, code reviews, team collaboration, DevOps workflows, security analysis, and long-term code maintenance. You will also explore emerging concepts such as agentic development, AI-native engineering practices, autonomous workflows, and the future of AI-assisted software engineering.Inside this book, you will learn how to: - Set up and optimize Cursor IDE for maximum productivity- Write effective prompts that produce better AI-generated code- Build frontend, backend, and full-stack applications faster- Create scalable software architectures with AI assistance- Generate unit tests, integration tests, and debugging solutions- Refactor legacy applications and improve code quality- Manage version control and collaborative development workflows- Apply secure coding practices and review AI-generated output- Automate documentation and knowledge management- Deploy, monitor, and maintain modern applications- Prepare for the next generation of AI-powered software developmentPacked with practical examples, real-world workflows, best practices, productivity techniques, and professional insights, this book equips you with the skills needed to become a more effective developer in an AI-driven industry.>Open this book, master Cursor IDE, and start building software faster, smarter, and more confidently than ever before.…

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Paperback. Condition: new. Paperback. The Ollama Handbook: Build Powerful Local AI Applications with Open-Source LLMs, RAG, Agents, and Automation Artificial intelligence is no longer limited to cloud platforms and expensive APIs. With Ollama, you can run powerful open-source large language models directly on your own computer, giving you greater privacy, lower costs, and complete control over your AI applications. Whether you're a developer, software engineer, data professional, student, or AI enthusiast, The Ollama Handbook provides the practical knowledge you need to build modern local AI solutions with confidence.Starting with the fundamentals, this book guides you through installing and configuring Ollama, understanding how large language models work, selecting the right open-source models, and mastering prompt engineering. From there, you'll learn how to develop AI-powered applications using the Ollama CLI, REST API, and Python while integrating advanced technologies such as Retrieval-Augmented Generation (RAG), vector databases, AI agents, LangChain, LlamaIndex, and Open WebUI.Moving beyond theory, you'll build intelligent chatbots, private knowledge assistants, document processing systems, workflow automation tools, and production-ready AI applications. You'll also discover practical techniques for optimizing performance, managing memory and context, securing local AI deployments, troubleshooting common issues, and integrating multiple AI components into complete end-to-end platforms. Inside this book, you'll learn how to: Install, configure, and manage Ollama effectively.Run and customize open-source LLMs using Modelfiles.Build applications with the Ollama CLI, REST API, and Python.Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases.Develop autonomous AI agents with tool calling and workflow automation.Integrate Ollama with LangChain, LlamaIndex, and Open WebUI.Optimize performance, resource usage, and production deployments.Apply responsible AI, privacy, and security best practices.Build real-world AI projects that you can extend for personal or professional use.Throughout the book, you'll find practical examples, complete code samples, reusable prompt templates, command references, troubleshooting guidance, and proven development practices that help you move from experimentation to building reliable AI applications.If you're ready to unlock the full potential of local AI and build intelligent, private, and production-ready applications without relying on cloud-based services, The Ollama Handbook is the practical guide you've been looking for. Get your copy today and start building the next generation of local AI applications with Ollama. 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.

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Paperback. Condition: new. Paperback. Agentic AI for Business Operations: Design Intelligent Workflows, Integrate AI Systems, and Scale Automation for Modern Enterprises Modern businesses are no longer asking whether to adopt AI-they are asking how to use it effectively to drive real operational impact. This book gives you a clear, practical answer.Agentic AI for Business Operations is a hands-on guide to building intelligent systems that do more than automate tasks. You will learn how to design workflows that think, adapt, and act across real business processes. Instead of isolated scripts or disconnected tools, you will create systems that coordinate decisions, integrate with existing infrastructure, and deliver measurable value.You will start by understanding how agent-based systems work in a business context, then move into designing structured workflows that break complex operations into manageable steps. From there, you will explore how to connect your systems to APIs, databases, and enterprise tools so they can operate in real environments. As your workflows grow, you will learn how to orchestrate multiple agents, ensure reliability, and scale your systems to handle increasing demand.The book goes beyond implementation. You will learn how to evaluate performance, measure efficiency, reduce operational costs, and align your systems with business goals. You will also understand how to design with security, compliance, and ethical considerations in mind, ensuring your solutions are not only effective but responsible.Through clear explanations, real-world scenarios, and practical code examples, you will gain the confidence to move from experimentation to production-ready systems. Whether you are improving customer support, automating internal processes, or building intelligent decision pipelines, this book shows you how to do it with clarity and purpose.If you are ready to move beyond basic automation and build systems that truly transform how businesses operate, this is your guide. Start building intelligent, scalable AI workflows today-and turn your ideas into systems that deliver real business results. 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. Julia for Machine Learning and AI: Build Intelligent Models, Train Neural Networks, and Develop High-Performance AI Applications If you want to move beyond theory and start building real machine learning systems that are fast, reliable, and scalable, this book gives you a clear path forward.Julia for Machine Learning and AI is designed to help you understand not just how models work, but how to build them from the ground up using Julia. You will learn how to work with data, design models, train neural networks, and optimize performance using tools like Flux.jl, all while keeping your code efficient and production-ready.The book starts by helping you build a solid foundation in Julia for numerical computing and data handling. From there, you move into core machine learning concepts, including regression, classification, and model evaluation. You will not just learn definitions-you will implement each concept with working code and understand how it behaves in practice.As you progress, you will explore how to build and train neural networks, understand how optimization works, and learn how to improve model accuracy and stability. You will also see how to handle larger datasets, optimize performance, and scale your systems using parallel and efficient computation techniques.What makes this book especially practical is its focus on complete systems. You will learn how to design data pipelines, deploy models, integrate them into real applications, and monitor them over time. By the end, you will be able to build end-to-end AI systems that go beyond experiments and deliver real value.Throughout the book, you will work on hands-on projects that reflect real-world challenges. These projects help you connect concepts to practical use, so you are not just learning-you are building.Whether you are a developer looking to enter machine learning, a data professional aiming to improve performance and scalability, or someone who wants a clear and structured way to learn AI with Julia, this book gives you the tools and understanding you need.You are not here to read about machine learning. You are here to build it. Start now, write the code, train the models, and create systems that solve real problems. 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.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

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. AI Development with TypeScript: Build Intelligent Applications, AI Agents, RAG Systems, Tool-Using Workflows, and Scalable Production AI You can connect an AI model to your application. But can you turn that connection into a reliable system people can actually use? Maybe you have already experimented with prompts, APIs, or AI coding tools. The real challenge begins when your application needs to search private knowledge, maintain context, use external tools, work with live data, perform multi-step tasks, handle failures, protect sensitive information, and scale beyond a simple demo. AI Development with TypeScript is a practical guide to building modern AI-powered applications with TypeScript and Node.js. It takes you from the foundations of AI application development to RAG, agents, tools, multi-agent systems, Model Context Protocol (MCP), testing, security, and production deployment. What You Will Learn Inside this book, you will learn how to: - Connect TypeScript applications to AI models and handle responses reliably- Work with prompts, messages, structured outputs, context, state, and memory- Build RAG systems using documents, embeddings, chunking, and vector search- Improve retrieval quality and generate better grounded answers- Build AI agents with goals, state, actions, tools, and controlled agent loops- Connect agents to APIs, databases, and application functions- Design reliable multi-step and tool-using workflows- Build and coordinate multi-agent systems- Connect AI applications to external capabilities with MCP- Test and evaluate models, prompts, RAG pipelines, tools, and agents- Protect applications from prompt injection, unsafe tool use, unauthorized access, and data exposure- Implement logging, tracing, retries, observability, cost controls, and failure handling- Deploy and scale AI applications for production- Combine RAG, agents, tools, workflows, security, and evaluation into a complete AI system Go Beyond AI Demos Building a chatbot that produces an impressive response is one thing. Building an AI application that remains useful when information changes, tools fail, users provide unexpected input, or an agent requests a sensitive action requires stronger engineering. This book shows you how to keep your application in control while using AI where it adds real value. Practical TypeScript examples help you understand how the individual pieces connect, so you can build systems that are easier to test, secure, maintain, and improve. Whether you are a TypeScript, JavaScript, Node.js, backend, full-stack, or aspiring AI developer, this book gives you a practical path from basic model integration to production-ready AI development. AI software is rapidly moving beyond simple prompt-and-response applications. RAG, agents, tool use, MCP, evaluation, security, and production architecture are becoming important skills for developers building the next generation of intelligent software. Don't stop at calling an AI API. Learn how to build the complete system around it. Get your copy of AI Development with TypeScript today and start building intelligent applications designed for real-world use. 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.

Condition: New. Print on Demand.

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. Agentic Spec-Driven Software Engineering: A Practical Guide to Requirements Planning, System Design, and AI-Assisted Development Agentic Spec-Driven Software Engineering introduces a modern approach to building software in the age of AI. As development teams increasingly rely on intelligent assistants, code generators, and autonomous agents, the ability to create clear, structured, and actionable specifications has become one of the most valuable skills in software engineering.This book shows you how to move beyond traditional code-first development and adopt a specification-first mindset that places requirements, architecture, quality, and business objectives at the center of every engineering decision. You will learn how AI agents can assist with requirements discovery, system design, architecture evaluation, testing, deployment planning, governance, and continuous improvement while remaining aligned with well-defined specifications.Through practical examples, proven frameworks, real-world case studies, and reusable templates, you will discover how to transform ideas into structured requirements, create high-quality specifications, design scalable architectures, generate implementation plans, automate validation workflows, and build effective multi-agent engineering systems.Inside this book, you will learn how to: - Create clear, complete, and testable software specifications- Use AI agents for requirements planning and discovery- Design architectures directly from documented requirements- Build APIs, data models, and integration strategies from specifications- Generate tests and quality assurance workflows automatically- Maintain alignment between specifications, code, and operations- Establish governance, traceability, and compliance processes- Build AI-native engineering teams and workflows- Prepare for the future of autonomous software developmentWhether you are a software engineer, architect, technical lead, product manager, consultant, founder, or technology leader, this book provides a practical framework for designing and delivering software systems that are more predictable, maintainable, scalable, and aligned with business goals.The future of software engineering belongs to teams that can effectively collaborate with AI while maintaining clarity, control, and engineering discipline. Start building that future today and learn how specification-driven thinking can transform the way you design, develop, and deliver software. 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.