![]() The publisher makes no warranty, express or implied, with respect to the material contained herein. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. Trademarked names, logos, and images may appear in this book. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. GENERATIVE AI HOW CHATGPT AND OTHER AI TOOLS WILL REVOLUTIONIZE BUSINESS Tom Taulli Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business Tom Taulli Monrovia, CA, USA ISBN-13 (pbk): 978-1-4842-9369-0 ISBN-13 (electronic): 978-1-4842-9367-6 Copyright © 2023 by Tom Taulli This work is subject to copyright. Build Implementing Generative AI Identify the Problem to Be Solved Form a Team Data Preparation and AI Modeling Deploy and Monitor the AI System The Generative AI Process Conclusion Chapter 8: The Impact on Major Industries Music WaveAI Education GPTZero Duolingo Journalism Gaming Roblox Healthcare Creating X-Rays Finance Conclusion Chapter 9: The Future Challenges Misuse Regulation New Approaches to AI AGI Jobs Conclusion Index Пустая страница Пустая страница Citation preview Discriminative Models Probability Theory Types of Generative AI Models Generative Adversarial Networks (GANs) Variational Autoencoder (VAE) Diffusion Models DALL-E 2 Stability AI and Midjourney Speech Trilemma of Generative AI Models Conclusion Chapter 5: Large Language Models Language and Intelligence Natural Language Processing (NLP) How NLP Works Word2Vec Model Transformers Dials BERT (Bidirectional Encoder Representations from Transformers) GPT Systems and ChatGPT Dolly Gopher and Gato Cohere AI21 Labs BLOOM Megatron-Turing Natural Language Generation Model GPT-Sw3 Issues New Startup Model Prompt Engineering Character AI Empathy Conclusion Chapter 6: Auto Code Generation The Developer Shortage How AI Code Generation Systems Work Copilot AlphaCode Tabnine Magic Pol圜oder Blaze Debugging Code Data Labeling Prompt Engineering for Coding Atera Large-Scale Projects Drawbacks and Risks Conclusion Chapter 7: The Transformation of Business Legal Customer Experience Sales and Marketing Anyword Wope INK Regie.ai Lavender and SellScale Grammarly Writer Cresta Forethought Intercom Product Development Spoke AI Presentations Buy vs. ![]() ![]() Table of contents : About the Author Foreword Chapter 1: Introduction to Generative AI Definition Sentient? The Opportunity Using Generative AI The ChatGPT Effect The Drivers Skeptics Dangers of Hype Conclusion Chapter 2: Data Value of Data The Amazing Growth of Data Big Data Databases Cloud Models Data Strategy Data Collection Common Data Sources Data Evaluation Data Wrangling Data Labeling Quantity Privacy Laws and Regulations Generative AI for Data Wrangling Generative AI for Data Preparation Chief Data Officer Conclusion Chapter 3: AI Fundamentals Early AI Programs AI Struggle Then What Is AI? Machine Learning Supervised Learning Regression Analysis Support Vector Machines Random Forest K-Nearest Neighbor Naïve Bayes Classifiers Unsupervised Learning Clustering Anomaly Detection Association Autoencoders Reinforcement Learning Terms and Setup for Deep Learning How Deep Learning Works Types of Deep Learning The Brain and AI Drawbacks with Deep Learning Overfitting and Underfitting Python AI Tools AI Systems for Beginners Conclusion Chapter 4: Core Generative AI Technology Generative vs.
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