Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications
Cronin, Irena
商品描述
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.
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.
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.
What You Will Learn
- What are the technical elements that constitute the makeup of Generative AI products?
- What are the practical applications of Generative AI?
- How can algorithms be designed to automate and improve written communication?
- What are the latest Generative AI architectures and algorithms?
Who This Book Is For
Data scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products
商品描述(中文翻譯)
本指南涵蓋了生成式人工智慧（Generative AI）的基本技術原則及其在規劃、開發和評估AI驅動產品中的各種商業應用。它為您提供了利用生成式人工智慧提升商業創造力和生產力所需的知識。
本書分為三個部分：基於文本的、基於感官的和基於推理的。每個部分深入探討生成式人工智慧的特定方法和應用。在基於文本的部分，您將找到有關設計算法以自動化和增強書面溝通的詳細討論，包括有關基於變壓器的自然語言處理（NLP）和聊天機器人架構（如GPT-4、Claude 2、Google Bard等）的技術見解。基於感官的部分則提供了視覺、聽覺和多感官體驗背後的算法和數據結構的概覽，包括NeRF、3D Gaussian Splatting、Stable Diffusion、AR和VR技術等。基於推理的部分則闡明了AI的決策能力，重點在於機器學習和數據分析技術，這些技術使得模擬模型、代理和自主系統等應用成為可能。
總之，本書作為那些希望在生成式人工智慧的動態領域中導航的讀者的指南。無論您是經驗豐富的AI專業人士，還是希望利用創造性自動化力量的商業領導者，這些頁面都提供了一條利用生成式人工智慧促進您組織成功的路線圖。
您將學到的內容：
- 生成式人工智慧產品的技術要素是什麼？
- 生成式人工智慧的實際應用有哪些？
- 如何設計算法以自動化和改善書面溝通？
- 最新的生成式人工智慧架構和算法是什麼？
本書適合對生成式人工智慧產品感興趣的數據科學家、數據分析師、決策者和商業高管。
作者簡介
Irena Cronin 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.
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).
作者簡介(中文翻譯)
Irena Cronin 是 DADOS Technology 的產品高級副總裁，該公司正在為 Apple Vision Pro 開發一款進行數據分析和可視化的應用程式。她同時也是 Infinite Retina 的首席執行官，該公司提供研究以幫助企業開發和實施 AI、AR 及其他新技術。此之前，她曾擔任幾年的股票研究分析師，並在評估公共和私人公司的過程中積累了豐富的經驗。
Irena 擁有南加州大學的聯合 MBA/MA 學位，以及紐約大學的管理與系統碩士學位（優異成績）。她以優等生身份從賓夕法尼亞大學獲得經濟學學士學位（summa cum laude）。
