Details
Understanding Generative AI Business Applications
A Guide to Technical Principles and Real-World Applications|
56,99 € |
|
| Verlag: | Apress |
| Format: | |
| Veröffentl.: | 21.05.2024 |
| ISBN/EAN: | 9798868802829 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity.</p><p>The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting,Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems.<br></p><p>In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.<br></p><p><br></p><p><b>What You Will L</b><b>earn</b></p><ul><li>What are the technical elements that constitute the makeup of Generative AI products?</li><li>What are the practical applications of Generative AI?</li><li>How can algorithms be designed to automate and improve written communication?</li><li>What are the latest Generative AI architectures and algorithms?</li></ul><p><b><br></b></p><p><b>Who This Book Is For</b></p><p>Data scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products</p><p><br></p><p><br></p>
<p>Chapter 1: Introduction to the World of Generative AI.- Chapter 2: Core Technical Concepts.- Chapter 3: The Business Case for Generative AI.- Chapter 4: The World of Text-based Generative AI.- Chapter 5: Unpacking Transformer-based NLP.- Chapter 6: Exploring Chatbot Technologies.- Chapter 7: Advanced Applications of Text-based AI.- Chapter 8: Senses-based Generative AI Demystified.- Chapter 9: In-depth Look at Supportive Visual Algorithms and Computer Vision.- Chapter 10: The Auditory and Multisensory Experience.- Chapter 11: Autonomous AI Agents: Decision Making, Data, and Algorithms.- Chapter 12: Text-based Generative Intelligent Agents: Beyond Traditional Chatbots and Virtual Assistants.- Chapter 13: Applications and Real-world Case Studies.- Chapter 14: Summarizing Key Insights.- Chapter 15: The Evolving World of Generative AI.</p>
<p><b>Irena Cronin</b> is SVP of Product for DADOS Technology, which is making an app for the Apple Vision Pro that does data analytics and visualization. She is also the CEO of Infinite Retina, which provides research to help companies develop and implement AI, AR and other new technologies for their businesses. Prior to this, she worked for several years as an equity research analyst and gained extensive experience in evaluating both public and private companies.</p><p>Irena has a joint MBA/MA from the University of Southern California and an MS with Distinction in Management and Systems from New York University. She graduated with a BA from the University of Pennsylvania with a major in Economics (summa cum laude).<br></p><p><br></p>
This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity.<p>The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting, StableDiffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems.<br></p><p>In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success.<br></p><p>What You Will Learn<br></p><ul><li>What are the technical elements that constitute the makeup of Generative AI products?</li><li>What are the practical applications of Generative AI?</li><li>How can algorithms be designed to automate and improve written communication?</li><li>What are the latest Generative AI architectures and algorithms?</li></ul><p><br></p>
Explains the technical aspects of Gen AI while emphasizing its practical relevance in real-world business contexts Facilitates structured and focused learning into text-based, senses-based, and rationale-based categories Covers the decision-making techniques of Gen AI that support applications such as agents, and autonomous systems
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