Building Agentic AI Systems
Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systemsKey Features: - Understand the foundations and advanced techniques of building intelligent, autonomous AI agents- Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems- Explore crucial aspects of trust, safety, and ethics in AI agent development and applications- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Gain 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.Starting 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.Beyond 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.What You Will Learn: - Master the core principles of GenAI and agentic systems- Understand how AI agents operate, reason, and adapt in dynamic environments- Enable AI agents to analyze their own actions and improvise- Implement systems where AI agents can leverage external tools and plan complex tasks- Apply methods to enhance transparency, accountability, and reliability in AI- Explore real-world implementations of AI agents across industriesWho this book is for: This 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.Table of Contents- Fundamentals of Generative AI- Principles of Agentic Systems- Essential Components of Intelligent Agents- Reflection and Introspection in Agents- Enabling Tool Use and Planning in Agents- Exploring the Coordinator, Worker, and Delegator Approach- Effective Agentic System Design Techniques- Building Trust in Generative AI Systems- Managing Safety and Ethical Considerations- Common Use Cases and Applications- Conclusion and Future Outlook
Machine Learning Models for Predicting Drug-Target Interactions
Cybersecurity for Dummies
Get the know-how you need to safeguard your data against cyber attacks Cybercriminals are constantly updating their strategies and techniques in search of new ways to breach data security--shouldn't you learn how to keep yourself and your loved ones safe? Fully updated with information on AI, hybrid work environments, and more, Cybersecurity For Dummies is the best-selling guide you need to learn how to protect your personal and business information from the latest cyber threats. This book helps you build stronger defenses, with detailed instructions on how to protect your computer, your online data, and your mobile devices. Learn how to set up the right security measures and prevent breaches--as well as what to do if your information or systems are compromised. Learn about the different types of cyberattacks and how to defend against them Beef up your data security for hybrid work environments and cloud storage Keep your family members safe against deepfake and other social engineering attacks Make sure you have a plan to respond quickly and limit damage in the event of a breach Ideal for businesses and individuals who want to be cyber-secure. Cybersecurity For Dummies is also a great primer for anyone interested in pursuing a career in cybersecurity.
Grid, Cloud, and Cluster Computing; Quantum Technologies; And Modeling, Simulation and Visualization Methods
Fault-Tolerant Distributed Consensus in Synchronous Networks
Fault-tolerant distributed consensus is a fundamental concept, both in cryptography as well as distributed computing. Ever since the inception of the problem by Lamport et al in 1982, the problem has been widely studied, both in cryptography as well as distributed computing community and several fundamental results have been obtained regarding the possibility, feasibility and optimality of the consensus protocols in various network models and adversarial settings. The problem has generated revived interest from several other communities over the last few years, after the advent of Blockchain protocols. Traditionally, the consensus protocols are studied either in the synchronous or in the asynchronous communication setting and very often the protocols in the former category serve as the basis for the protocols in the latter category. The focus of this book will be on the synchronous communication setting. The book presents all the seminal possibility and feasibility results in this model ever since the inception of the consensus problem, with formal security proofs. Even though the synchronous corruption model may seem weaker than the more practical asynchronous communication model, designing protocols in the synchronous model turns out to be non-trivial and demands sophisticated and highly advanced techniques. Moreover, understanding protocols in the synchronous setting often constitutes the first stepping stone to understanding the more complex asynchronous consensus protocols. The topic of synchronous consensus protocols in itself is a very vast and important topic to be covered in a single book.
ChatGPT for Dummies
Updated to provide a deeper and closer look at ChatGPT Expanded and extended, this new edition of ChatGPT For Dummies covers the latest tools, models, and options available on the popular generative AI platform. You'll learn best practices for using ChatGPT as a text and media generation tool, research assistant, and content reviewer. If you're new to the world of AI, you'll get all the basic know-how needed to add ChatGPT to your professional toolbox. And if you've been doing the genAI thing for a while already, this book will sharpen your skills as you apply AI to real-world projects in an ethical manner. You'll get insight on the best practice for using ChatGPT to make your life and work easier and how to write prompts that result in high-quality output. Understand what generative AI is and how ChatGPT produces human-like responses Get tips on writing effective prompts and using ChatGPT to generate sound and images Apply ChatGPT to your daily work or personal life Discover the best way to fact-check AI-generated content to avoid errors and hallucinations Anyone using ChatGPT to enhance their work--whether for professional or personal use--will get better results with ChatGPT For Dummies.
Robotics and Autonomous Systems. Innovations, Challenges, and Future Prospects
Security and Risk Analysis for Intelligent Cloud Computing
Artificial Intelligence & Blockchain in Cyber Physical Systems
