Top 8+ Books about Generative AI (2024) · LLMs, GPTs, Diffusion Models

6 min readFeb 22, 2024

Generative AI isn’t new, I wrote a longer article about GANs (as we called them several years before) but in 2022 it reached a certain level of quality, that impressed the world. In addition the emergence of ChatGPT (GPT 3.5) and Large Language Models became part of this trend that we call “Generative AI”.

What Techs Are Part of Generative AI?

We can find several ways to categorize these technologies, but I think the easiest way to understand them is if we use output categorization: what will be the actual output of these AI models?

Using this logic there are AI models for

  • Image generation · Diffusion models
  • Text generation · Large Language models
  • Video generation · Large-scale Video Generation models
  • Speech or audio generation · Diffusion models

Most important applications of Generative AI

I did collect the most notable AI applications, that are robust enough and they aren’t using any third party services. This is my private collection, I also use the majority of these tools personally:

  • OpenAI ChatGPT · GPT-4 (text to text) · LLM (2024)
  • Google Gemini (text to text) · LLM (2024)
  • (text to text) · LLM (2023)
  • (text to text) · LLM (2023)
  • Github Copilot (text to text/code) · LLM (2023)
  • Dall-E 3 (text to image) · Diffusion Model (2023)
  • Stable Diffusion Pro Max (text to image) · Diffusion Model (2023)
  • Midjourney (text to image) · Diffusion Model (2022)
  • OpenAI Sora (text to video) · Large-scale Video Generation model (2024)
  • Runway (text to video) · Large-scale Video Generation model (2023)
  • (text to speech) · Voice model (2023)
  • Amazon Polly (text to speech) · Voice model (2022)

What Are Prompts?

Think of a prompt like asking your friend a question or telling them to do something. When you use an AI, you write then prompts. For example if you would like to

This can be anything from a question you want answered to a request for it to make something, like a story or a picture. The AI then tries to figure out what you’re asking for and gives you back an answer or something new based on what you told it. How well you ask or tell the AI what you want can make a big difference in what you get back.

What are the best Generative AI Books for Image and Text Generation?

Artificial Intelligence & Generative AI for Beginners (Generative AI & Chat GPT Mastery Series Book 1), by David M. Patel (2023)

David M. Patel’s book is a straightforward guide that helps readers get to grips with artificial intelligence and generative AI. Patel, an Amazon bestselling author and AI consultant, aims to make complex AI concepts accessible to everyone, whether you’re starting from scratch or looking to expand your professional skills. The book covers the basics of AI, including its history and main components, and explains different types of machine learning. It also introduces readers to critical AI fields such as natural language processing, computer vision, and robotics, showing how they apply in the real world. Patel’s approach is to give readers the knowledge they need to use AI tools like ChatGPT, DALL-E 3, and MidJourney effectively, helping them boost their productivity and achieve personal or business growth.

Patel focuses on generative AI, explaining what it is, how it works, and the various types that exist. He offers practical advice on how to come up with business ideas using generative AI and guides readers through building their own generative AI models.

The book also covers how generative AI can be applied in areas such as copywriting, graphic design, and video editing. It raises important ethical questions about AI and predicts how generative AI will change industries like healthcare, media, and education. Patel provides a wealth of resources for readers who want to explore further, including podcasts and influencers in the AI field.

Generative AI for Beginners, by Ethan James Whitfield (2023)

Generative AI for Beginners is a book designed to simplify these complexities, making the world of Generative AI approachable for everyone. It aims to alleviate the frustration of not grasping this transformative technology, which can hinder personal and professional growth.

The book covers the basics of Generative AI, including its principles and how it works, along with its impact across various industries. It goes beyond theory, showing how Generative AI is applied in creating art, music, and written content, and highlights the importance of ethical considerations in AI use. Tailored for absolute beginners, the book promises a clear and straightforward learning journey, fitting easily into busy schedules. It positions itself as a tool for anyone looking to understand and engage with the ongoing AI revolution, offering a pathway to new career opportunities and a deeper appreciation of how AI is reshaping our world.

The Midjourney Prompt Book, by Shaheed Ullah (2024)

This comprehensive guide covers the advanced knowledge of Midjourney prompts, including commands and parameters with detailed step-by-step instructions and practical tips. I found over a thousand prompts that fit also for Stable Diffusion XL and DALL.E-3, despite being designed for Midjourney.

The book, now in its 6th edition, spans 300 pages across eleven chapters. It includes a newly added chapter on Nature, Commercial, and Fashion Photography, and another dedicated to Building Consistent Characters with Midjourney, catering to both beginners and advanced users.

This edition discusses the latest Midjourney’s Niji models along with advanced prompts, photorealism, and niche-specific guides.

What are the best Generative AI Books to Understand the Technology Behind It?

Generative Deep Learning, by David Foster (2023)

This book aims to equip machine learning engineers and data scientists with the skills to build cutting-edge generative AI models using TensorFlow and Keras. It starts with the fundamentals of deep learning and gradually progresses to complex architectures like VAEs, GANs, and Transformers. Through practical guidance and expert tips, you’ll learn to unlock the creative potential of these models, generating images, music, text, and even solving reinforcement learning tasks. The book also delves into the future of generative AI and its potential impact on individuals and businesses.

In essence, this book is a hands-on guide to building and harnessing the power of generative AI, equipping readers with the knowledge and skills to explore this exciting field.

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Originally published at on February 22, 2024.

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