Introduction to Generative AI

Hello! Welcome to Modern Generative AI with ChatGPT and OpenAI Models! In this book, we will explore the fascinating world of generative Artificial Intelligence (AI) and its groundbreaking applications. Generative AI has transformed the way we interact with machines, enabling computers to create, predict, and learn without explicit human instruction. With ChatGPT and OpenAI, we have witnessed unprecedented advances in natural language processing, image and video synthesis, and many other fields. Whether you are a curious beginner or an experienced practitioner, this guide will equip you with the knowledge and skills to navigate the exciting landscape of generative AI. So, let’s dive in and start with some definitions of the context we are moving in.

This chapter provides an overview of the field of generative AI, which consists of creating new and unique data or content using machine learning (ML) algorithms.

It 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 to revolutionize various industries. This introduction to generative AI will provide context for where this technology lives, as well as the knowledge to collocate it within the wide world of AI, ML, and Deep Learning (DL). Then, we will dwell on the main areas of applications of generative AI with concrete examples and recent developments so that you can get familiar with the impact it may have on businesses and society in general.

Also, being aware of the research journey toward the current state of the art of generative AI will give you a better understanding of the foundations of recent developments and state-of-the-art models.

All this, we will cover with the following topics:

• Understanding generative AI
• Exploring the domains of generative AI
• The history and current status of research on generative AI

By the end of this chapter, you will be familiar with the exciting world of generative AI, its applications, the research history behind it, and the current developments, which could have – and are currently having – a disruptive impact on businesses.