Team Aug 23, 2024 No Comments
Generative AI is the future. This artificial intelligence technology has surprised the whole world through its ability to generate original text, code, images, audio, and video. If you want to master this technology, generative AI books can be a good starting point.
Certain books are authored by experts and help you understand complex generative AI concepts even if you don’t have a strong technical background. They help you learn different applications, explore the latest trends, and solve real-world problems using the technology.
In this blog post, we have listed some of the best generative AI books. You can read them either in paperback format or directly from Amazon Kindle.
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Whether you are a beginner or a professional, these books will help you learn generative AI from scratch. Let’s see what we have got…
Author: David Foster
Print length: 330 pages
Originally published in: July 2019
Get the book: Generative Deep Learning
This book helps you understand how generative AI can create art, compose music, and write like a human. You will understand the basics of deep learning and then explore advanced algorithms.
This book is perfect for anyone who wants to get their hands dirty. Foster doesn’t just explain the theory. He provides useful tips and tricks to make your own effective AI models that learn faster.
You will learn about changing facial expressions with variational autoencoders, music generation with MuseGAN, image generation models with ProGAN and StyleGAN, models for text generation, etc.
Author: Chris Fregly, Antje Barth, and Shelbee Eigenbrode
Print length: 312 pages
Originally published in: November 2023
Get the book: Generative AI on AWS
This book gives you a clear roadmap to build generative AI applications, from case definition and model selection to model optimization and deployment.
Whether you are a data scientist, business analyst, app developer, or ML practitioner, this book will help you use the power of generative AI to solve business problems.
You will learn about different types of models, including large language models (LLMs) like ChatGPT and image generators like Stable Diffusion. The book also covers libraries like LangChain and ReAct.
Author: Joseph Babcock, Raghav Bali
Print length: 488 pages
Originally published in: April 2021
Get the book: Generative AI with Python and TensorFlow 2
This book will take you through the evolution of generative models before introducing the advanced techniques used today.
You will implement models on TensorFlow, use LSTM models and MuseGAN to compose music, use pix2pix GAN to create deepfakes, and explore text-generation models using BERT, GPT-2, etc.
The generative AI book is best for Python programmers who want to create functional apps with this technology. You will need a basic understanding of maths and statistics to understand the book better.
Author: Rajeev Kapur
Print length: 208 pages
Originally published in: September 2023
Get the book: AI Made Simple
This generative AI book is best for beginners who want to learn the foundations. The author explains this revolutionary technology in plain language with examples so that you can easily grasp even complex concepts.
You will learn what generative AI is, how it was developed, what the applications of generative AI are, how it’s changing our world, and what disruption opportunities it provides. You will also understand the limitations and ethical concerns of this technology.
Author: James Phoenix, Mike Taylor
Print length: 422 pages
Originally published in: May 2024
Get the book: Prompt Engineering for Generative AI
This book will help you learn the basics of generative AI and how you can use these models. You will learn how to get the most out of LLMs like ChatGPT and diffusion models like Stable Diffusion.
After reading this book, you can craft prompts that get the AI to generate reliable, high-quality results for tasks like writing, image creation, and even coding.
The book has received 4.4 ratings out of 5 on Amazon. Many readers who have reviewed it say that it is a comprehensive guide with practical insights.
Author: Ben Auffarth
Print length: 362 pages
Originally published in: December 2023
Get the book: Generative AI with LangChain
This generative AI book helps you understand the depths of LLMs like ChatGPT and Bard, including their capabilities and limitations.
It first explains the fundamentals and industry trends before going to advanced topics like creating LLM apps like chatbots with LangChain. You will learn essential techniques like prompt engineering, fine-tuning, and deploying your models securely.
The book is perfect for developers, researchers, and AI enthusiasts who want to master LLMs. Beginner as well as professional developers can read it, but you will require a basic knowledge of Python and machine learning.
Author: Ian Goodfellow, Yoshua Bengi, Aaron Courville
Print length: 800 pages
Originally published in: November 2016
Get the book: Deep Learning
This is one of the best books for deep learning. Written by three industry experts, it covers conceptual and mathematical parts as well as research and practical applications. For instance, it explores topics like linear algebra, probability theory, numerical computation, machine learning, etc.
The book is perfect for aspiring students and software engineers who want to master deep learning and related technologies. Over 2,150 people have given this 4.6-star rating out of 5, saying that the book is detailed and elaborate. Some even say that this is the masterpiece of deep learning.
Learning AI is a continuous process. The above best generative AI books are great resources for learning the ins and outs of this technology. They not only introduce you to the latest trends but also help you understand the possibilities in the coming future. So, keep reading one book at a time, let them inspire your creativity, and solve real-world problems using generative AI.
Next Read: 5 Best Generative AI Courses to Master AI
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