randall luca (27 resultados)

Paperback. Condición: New.

Paperback. Condición: New.

Condición: New. In.

Paperback. Condición: New.

Paperback. Condición: New.

Condición: New. In.

Condición: New. In.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. Agentic AI Integration: Leveraging MCP Servers for Intelligent SystemsAre you ready to harness the full potential of autonomous AI agents in your projects? "Agentic AI Integration" serves as your comprehensive guide to understanding and implementing the Model Context Protocol (MCP), a pivotal framework that facilitates seamless interaction between AI models and external tools.What can you expect from this book?In-Depth Understanding: Gain a solid grasp of agentic AI's evolution, from basic rule-based systems to sophisticated autonomous agents capable of complex decision-making and learning.Practical Implementation: Learn how to set up both local and cloud-based MCP development environments. The book provides step-by-step instructions on building, testing, and deploying MCP servers, ensuring you can apply these concepts effectively in real-world scenarios.Integration Strategies: Discover methods to overcome common integration challenges, ensuring your AI agents can interact seamlessly with various tools and systems.Future Insights: Explore emerging trends and innovations in agentic AI, preparing you to stay ahead in this rapidly evolving field.Why is this book unique?Unlike other technical manuals, "Agentic AI Integration" combines theoretical foundations with hands-on tutorials, offering complete, functional, and up-to-date code examples. The content is structured logically to facilitate easy comprehension, minimizing redundancy and focusing on practical implementations. Whether you're a seasoned developer or a newcomer to AI, this book provides valuable insights and tools to enhance your projects.Ready to elevate your AI integration skills? Embark on a journey to master MCP servers and transform the way your intelligent systems interact with the world. Get your copy of "Agentic AI Integration" today and take the next step in AI innovation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Building AI Agents: A Developer's Guide to Building Intelligent Systems with 10 Cutting-Edge ToolsWhat if you could build intelligent systems that not only respond, but reason, adapt, and collaborate-just like a human team?This practical guide is for developers who want to create smart, autonomous agents using the most powerful tools available today. You'll go beyond theory into the actual mechanics of building AI agents using 10 widely adopted, open-source frameworks-including LangChain, AutoGen, LlamaIndex, CrewAI, and more.Whether you're automating workflows, integrating large language models, or orchestrating multi-agent systems, this book offers a comprehensive, tool-based approach that's both approachable and production-ready.Why this book is different: Tool-Driven Learning: Focused chapters on 10 real-world tools developers are using right nowHands-On Implementation: Full code examples, workflows, and sample projectsModern Architectures: Covers agent orchestration, memory management, data integration, and deploymentProduction Minded: Learn how to deploy, monitor, and maintain agent systems at scaleFuture-Focused: Insight into emerging trends, ethical design, and continuous learning in autonomous AIWhether you're an engineer building next-gen assistants or a developer exploring AI for the first time, this book equips you with the tools, context, and clarity needed to create intelligent agents that work-today.Ready to build AI agents that think, act, and collaborate?Get your copy and start developing intelligent systems that do more than just respond-they solve, scale, and evolve. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. What if AI Could Think Like a Human-And Stay Up-to-Date? Mastering RAG 2.0: Building Robust AI Agents with Retrieval-Augmented Generation by Luca Randall explores the transformative power of Retrieval-Augmented Generation (RAG) 2.0, a cutting-edge AI framework that blends real-time data retrieval with advanced language generation. This book guides readers through the process of creating intelligent, context-aware AI agents capable of tackling complex tasks-from enterprise knowledge management to conversational chatbots. With a focus on practical applications, it breaks down the technical architecture, optimization techniques, and real-world use cases that make RAG 2.0 a game-changer in artificial intelligence. What Sets This Book Apart?Hands-On Learning: Gain practical skills with complete Python code examples for building RAG 2.0 systems.Advanced Insights: Explore topics like hybrid search, prompt engineering, and multi-agent collaboration to enhance AI performance.Future-Ready Vision: Understand emerging trends, such as multi-modal AI and the path to Artificial General Intelligence (AGI).Real-World Applications: See how RAG 2.0 powers solutions in legal, medical, and financial domains, driving efficiency and innovation.Whether you're an AI practitioner, developer, or curious student, this book equips you with the tools to create robust, autonomous AI systems that adapt to a fast-changing world.Ready to shape the future of AI? Grab your copy of Mastering RAG 2.0 today and start building intelligent agents that combine the best of retrieval and generation! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. Agentic AI Integration: Leveraging MCP Servers for Intelligent SystemsAre you ready to harness the full potential of autonomous AI agents in your projects? "Agentic AI Integration" serves as your comprehensive guide to understanding and implementing the Model Context Protocol (MCP), a pivotal framework that facilitates seamless interaction between AI models and external tools.What can you expect from this book?In-Depth Understanding: Gain a solid grasp of agentic AI's evolution, from basic rule-based systems to sophisticated autonomous agents capable of complex decision-making and learning.Practical Implementation: Learn how to set up both local and cloud-based MCP development environments. The book provides step-by-step instructions on building, testing, and deploying MCP servers, ensuring you can apply these concepts effectively in real-world scenarios.Integration Strategies: Discover methods to overcome common integration challenges, ensuring your AI agents can interact seamlessly with various tools and systems.Future Insights: Explore emerging trends and innovations in agentic AI, preparing you to stay ahead in this rapidly evolving field.Why is this book unique?Unlike other technical manuals, "Agentic AI Integration" combines theoretical foundations with hands-on tutorials, offering complete, functional, and up-to-date code examples. The content is structured logically to facilitate easy comprehension, minimizing redundancy and focusing on practical implementations. Whether you're a seasoned developer or a newcomer to AI, this book provides valuable insights and tools to enhance your projects.Ready to elevate your AI integration skills? Embark on a journey to master MCP servers and transform the way your intelligent systems interact with the world. Get your copy of "Agentic AI Integration" today and take the next step in AI innovation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.