Textual Intelligence

Preface

Generative AI and Large Language Models (LLMs) stand at the forefront of technological innovation, where artificial intelligence meets natural language processing. These technologies empower machines to understand, generate, and manipulate human language, unlocking a range of applications from customer service chatbots to tools that are reshaping media production. Foundational models like GPT (Generative Pre-trained Transformer) and Llama drive much of this progress, advancing innovation across sectors such as healthcare, finance, and entertainment.

While the potential of Generative AI and LLMs is vast, it is accompanied by challenges, including ethical concerns and the heavy computational resources required. Navigating this landscape demands a clear understanding of the inner workings, capabilities, and limitations of these models.

This book offers a comprehensive guide to Generative AI and LLMs. It aims to demystify the field, provide real-world applications, address ethical considerations, and equip readers—both individuals and professionals—with the tools needed to engage with these technologies responsibly. Nineteen chapters, written by leading experts, explore the full spectrum of the subject. The following is a summary of the material presented:

Chapter 1 examines the different types of AI models, including Generative AI and Autoregressive models, and explains how LLMs generate new text, code, and images. It also discusses the importance of input signals and ...