Search results for "Python for Generative AI"
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R 475.00
ARTIFICIAL INTELLIGENCE FOR ALL: A HANDBOOK ON PROMPTING AND AGENTS
Artificial Intelligence for All: A Handbook on Prompting and Agents is a comprehensive practical guide designed for the age of Large Language Models (LLMs) and AI Agents. Centered on the core concepts of prompting, AI cognition, and intelligent agent collaboration, the book provides a complete framework that bridges foundational AI understanding with real-world execution.Starting from the fundamentals of AI communication and prompt engineering, the book systematically explores cognitive differences between humans and AI systems, advanced prompt structures, AI workflow design, and industry-specific AI applications. It further expands into AI Agent orchestration, multi-modal systems, local deployment, privacy protection, and AI governance.Unlike conventional introductory AI books that focus only on concepts or tools, this handbook emphasizes practical implementation through reusable frameworks, real-world case studies, structured prompt methodologies, and deployment strategies. Readers will learn how to transform AI from a passive chatbot into an active collaborative assistant capable of planning, reasoning, automation, and decision support.With applications across education, healthcare, finance, marketing, and enterprise productivity, this book is suitable for general readers, professionals, universities, corporate training programs, and organizations seeking AI transformation.
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Illustrated Guide to AI Agents
Artificial intelligence is entering a new phase. No longer limited to answering prompts or completing simple writing tasks, AI agents can now reason, plan, and act with increasing independence. From accelerating scientific breakthroughs to supporting creative work, these systems are quickly reshaping industries and everyday life. This book provides the conceptual foundation and practical insights you need to understand—and effectively work with—this emerging technology.Through hundreds of clear graphic illustrations, Maarten Grootendorst and Jay Alammar explain how AI agents are built, how they think, and where they're heading. Designed for professionals, students, and curious learners alike, this guide goes beyond the buzz to reveal what's actually happening inside these systems, why it matters, and how to apply the knowledge in real-world contexts. With its visual storytelling and accessible explanations, An Illustrated Guide to AI Agents is your essential reference for navigating the next frontier of artificial intelligence.Explore the core architecture of AI agents: tools, memory, and planningUnderstand reasoning LLMs, multimodal models, and multi-agent collaborationLearn advanced methods, including distillation, quantization, and reinforcement learningEvaluate real-world applications, strengths, and limitations of AI agents
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Generative Adversarial Learning: Architectures and Applications
This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.
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Generative AI and Digital Forensics
In today’s world, cybersecurity attacks and security breaches are becoming the norm. Unfortunately, we are not immune to it, and any individual and entity is at dire risk. The best and only thing that we can do is to mitigate the risks as much as much as possible so that they do not happen at all. But even when a security breach does indeed happen, the immediate reaction is to contain it so that it does not penetrate further into the IT/Network Infrastructure. From there, mission-critical processes need to be restored, until the business can resume a normal state of operations, like it was before the security breach.But another key step here is to investigate how and why the security breach happened in the first place. The best to do this is through what is known as “Digital Forensics”. This is where specially trained Digital Forensics Investigators collect and comb through every piece of evidence to determine this. Eventually, the goal is then to use this evidence in a court of law so the cyberattacker can be made to answer to their crime and eventually be brought to justice.However, the area of digital forensics is a large one, and many topics around it can be covered. Also, generative AI is being used to not only help in the analysis of the evidence, but also to help automate the Digital Forensics software packages that are available today. Therefore, in this book, the following is covered:Examples of security breaches, and overview into Digital ForensicsHow Digital Forensics can be used to investigate the loss or theft of dataAn introduction to the SQL Server DatabaseA review of the SQL Injection AttackHow generative AI can be used in Digital Forensics
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Generative AI for Transformational Management
The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age. This book goes beyond theoretical exploration to be a practical guide that empowers leaders to harness AI's full potential in driving transformative outcomes. By providing a comprehensive understanding of generative AI and its impact on management, Generative AI for Transformational Management equips readers with the knowledge and tools they need to thrive in today's dynamic business environment.
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Vibe Coding Playbook
A detailed and up-to-date walkthrough for entrepreneurs with limited (or non-existent) coding skills who want to build profitable software companies using new gen-AI tools In The Vibe Coding Playbook: Building Your Tech Business With AI, renowned AI and data science educator Siraj Raval walks you through exactly what you need to do to build a technology business with generative AI-powered code assistants. Raval offers step-by-step guidance for non-technical professionals and entrepreneurs interested in creating scalable, profitable enterprises without spending years learning how to code. This book conceives of new artificial intelligence tools, like Cursor, as “co-founders,” lighting your way to constructing valuable software products and services. You’ll learn to build minimally viable products (MVPs), iterate on your software products as you develop and after launch, and grow your company while maintaining a lean, efficient, solopreneur-focused structure. Inside the book: Detailed guidance for entrepreneurs interested in creating powerful tech solutions for niche problems and markets without hiring expensive software developersStrategies for using generative AI tools to substitute for traditional technical co-foundersIllustrative case studies from real-world founders who built successful technology businesses without learning to codeUseful tools for non-technical entrepreneurs, including prompt libraries, decision trees, QR codes linking to video tutorials demonstrating key techniques, and access to an exclusive online community of like-minded founders Perfect for ambitious professionals and entrepreneurs who want to build a successful technology company now – using commercially available AI tools – The Vibe Coding Playbook is your personal roadmap to creating useful and profitable software for customers without learning how to code.
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