What this book covers

Chapter 1, Introduction to Generative AI, provides an overview of the field of Generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models and explains how these models are trained to generate new data. The chapter also focuses on the applications of Generative AI to various fields, such as image synthesis, text generation, and music composition, highlighting the potential of Generative AI in revolutionizing various industries.

Chapter 2, OpenAI and ChatGPT – Beyond the Market Hype, gives an overview of OpenAI and its most notable development, ChatGPT, highlighting its history, technology, and capabilities. The chapter also focuses on how ChatGPT can be used in various industries and applications to improve communication and automate processes and, finally, how it can impact the world of technology and beyond.

Chapter 3, Getting Familiar with ChatGPT, guides you through how to set up a ChatGPT account and start using the service. It will also cover how to interact with the web UI, how to organize chats according to topic, and how to structure a conversation.

Chapter 4, Understanding Prompt Design, focuses on the importance of prompt design as a technique to improve a accuracy of the model. Indeed, prompts heavily impact the model’s generated output. A well-designed prompt can help guide the model toward generating relevant and accurate outputs, while a poorly designed prompt can be irrelevant or confusing. Finally, it is also important to implement ethical considerations in the prompt to prevent the model from generating harmful content.

Chapter 5, Boosting Day-to-Day Productivity with ChatGPT, goes through the main activities ChatGPT can do for general users on a daily basis, boosting users’ productivity. The chapter will focus on concrete examples of writing assistance, decision-making, creative inspiration, and so on, enabling you to try them on your own.

Chapter 6, Developing the Future with ChatGPT, focuses on how developers can make use of ChatGPT. The chapter will focus on the main use cases ChatGPT can address in this domain, including code review and optimization, documentation generation, and code generation. This chapter will provide examples and enable you to try the prompts on your own.

Chapter 7, Mastering Marketing with ChatGPT, focuses on how marketers can make use of ChatGPT. The chapter will focus on the main use cases ChatGPT can address in this domain, including A/B testing, keyword targeting suggestions, and social media sentiment analysis. This chapter will provide examples and enable you to try the prompts on your own.

Chapter 8, Research Reinvented with ChatGPT, focuses on how researchers can make use of ChatGPT. The chapter will focus on the main use cases ChatGPT can address in this domain, including literature reviews, experiment design, and bibliography generation. This chapter will provide examples and enable you to try the prompts on your own.

Chapter 9, OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI, focuses on the enterprise-level applications of OpenAI models, introducing Azure OpenAI Service. We will have an overview of Azure OpenAI Service’s model APIs and how they can be embedded into custom code. We will also focus on model parameters, configuration, and fine-tuning. Finally, we will make some considerations about the topic of responsible AI and how to make sure your AI system complies with ethical standards.

Chapter 10, Trending Use Cases for Enterprises, begins with an overview of the current most trending use cases with Azure OpenAI that enterprises are developing in the market today. We will explore concrete examples of projects, such as an intelligent search engine, AI assistant, and reports generator. Finally, we will focus on an end-to-end production project in a specific industry.

Chapter 11, Epilogue and Final Thoughts, begins with a short recap of the most trending use cases examined in previous chapters. We will then move toward some considerations about the implications of Generative AI on industries and everyday life. We will also learn about ethical considerations and the role of Responsible AI in the project design phase. The chapter will conclude with some final thoughts about what the future of Generative AI will be in terms of new developments, with GPT-4 coming soon.