{"title":"Computers--Speech \u0026 Audio Processing","description":null,"products":[{"product_id":"building-agentic-ai-systems-create-intelligent-autonomous-ai-agents-that-can-reason-plan-and-adapt","title":"Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt","description":"\u003cp\u003e\u003cstrong\u003eMaster the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFree with your book: PDF Copy, AI Assistant, and Next-Gen Reader\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Understand the foundations and advanced techniques of building intelligent, autonomous AI agents\u003c\/p\u003e\u003cp\u003e- Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems\u003c\/p\u003e\u003cp\u003e- Explore crucial aspects of trust, safety, and ethics in AI agent development and applications\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks.\u003c\/p\u003e\u003cp\u003eStarting with the foundations of GenAI and agentic architectures, you'll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents.\u003c\/p\u003e\u003cp\u003eBeyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Master the core principles of GenAI and agentic systems\u003c\/p\u003e\u003cp\u003e- Understand how AI agents operate, reason, and adapt in dynamic environments\u003c\/p\u003e\u003cp\u003e- Enable AI agents to analyze their own actions and improvise\u003c\/p\u003e\u003cp\u003e- Implement systems where AI agents can leverage external tools and plan complex tasks\u003c\/p\u003e\u003cp\u003e- Apply methods to enhance transparency, accountability, and reliability in AI\u003c\/p\u003e\u003cp\u003e- Explore real-world implementations of AI agents across industries\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Fundamentals of Generative AI\u003c\/p\u003e\u003cp\u003e- Principles of Agentic Systems\u003c\/p\u003e\u003cp\u003e- Essential Components of Intelligent Agents\u003c\/p\u003e\u003cp\u003e- Reflection and Introspection in Agents\u003c\/p\u003e\u003cp\u003e- Enabling Tool Use and Planning in Agents\u003c\/p\u003e\u003cp\u003e- Exploring the Coordinator, Worker, and Delegator Approach\u003c\/p\u003e\u003cp\u003e- Effective Agentic System Design Techniques\u003c\/p\u003e\u003cp\u003e- Building Trust in Generative AI Systems\u003c\/p\u003e\u003cp\u003e- Managing Safety and Ethical Considerations\u003c\/p\u003e\u003cp\u003e- Common Use Cases and Applications\u003c\/p\u003e\u003cp\u003e- Conclusion and Future Outlook\u003c\/p\u003e\u003cdiv style=\"display:none\"\u003eISBN-10: 1803238755\u003cbr\u003eISBN-13: 9781803238753\u003cbr\u003eAuthor: Biswas, Anjanava, Talukdar, Wrick, Scott, Matthew R.\u003cbr\u003ePublisher: Packt Publishing\u003cbr\u003e\n\u003c\/div\u003e","brand":"Packt Publishing","offers":[{"title":"Paperback (Apr 2025)","offer_id":45658812121285,"sku":"9781803238753","price":52.24,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6414\/2533\/files\/9781803238753.jpg?v=1768904846"},{"product_id":"agentic-design-patterns-a-hands-on-guide-to-building-intelligent-systems","title":"Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems","description":"This book is a practical resource designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously. \u003cem\u003eAgentic Design Patterns: A Hands-On Guide to Building Intelligent Systems\u003c\/em\u003e is structured as a comprehensive hands-on guide, with each chapter dedicated to a single agentic pattern. Within each chapter, you will find a detailed pattern overview, practical applications and use cases, one or more hands-on code example, and key takeaways for quick review. From foundational concepts such as Prompt Chaining and Tool Use to advanced topics like Multi-Agent Collaboration and Self-Correction, readers will gain practical knowledge they can immediately apply. While the chapters build on each other, you can also use the book as a handy reference, jumping to patterns that address your specific challenges. To provide a tangible \"canvas\" for the code examples, this guide utilizes three prominent agent development frameworks: LangChain and its extension LangGraph, which offer a flexible way to build complex operational sequences; Crew AI, which provides a structured framework for orchestrating multiple agents; and the Google Agent Developer Kit (Google ADK), which offers tools for building, evaluating, and deploying agents. By showcasing examples across these tools, you will gain a broad understanding of how these patterns can be applied in any technical environment. Building effective agentic systems requires more than just a powerful language model; it demands structure and design. Agentic patterns provide reusable, battle-tested solutions to common challenges, much like design patterns in software engineering. They offer a common language that makes an agent's logic clearer, more maintainable, and more robust. 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