Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business

This book will show how generative technology works and the drivers. It will also look at the applications – showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions – which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie – at very little cost. This is all part of generative AI. It’s still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn• The importance of understanding generative AI• The fundamentals of the technology, like the foundation and diffusion models• How generative AI apps work• How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation• The risks, downsides and challenges. Who This Book is ForProfessionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions. 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. 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 PolyCoder 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. 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 This book will show how generative technology works and the drivers. It will also look at the applications – showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions – which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie – at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions. OpenAI's release of ChatGPT unleashed the generative AI revolution. Within a few months, the platform attracted more than 100 million users. This was the fastest ever for an online application. While traditional AI focuses on predictions and insights, generative AI is about creativity. ChatGPT has already shown how this technology can seem almost human, even magical. But this is just the start. Generative AI will have a seismic impact across every industry. It will help to discover breakthrough drugs. It will create hit songs and movies. There seems to be no limits. In this book, Tom Taulli will show how generative AI works. This will include easy-to-understand explanations of critical innovations like transformers, diffusion models and generative adversarial networks. He will also highlight the incredible entrepreneurial stories of how companies like Jasper, StabilityAI and Hugging Face have leveraged this technology to grow at staggering rates. The book includes strategies for using generative AI. Taulli shows how to evaluate the tools as well as how to successfully implement them. Finally, he will explore the future of the technology, such as what it might mean for employment and the impact on economic growth.