AI News & Leading Newsletter on Deep Learning & Artificial Intelligence Issue #327: 9 Best Books to Get Up to Speed on Generative AI

In the 1980s and 1990s, generative AI research became more sophisticated, with the development of probabilistic models such as Hidden Markov Models and Bayesian Networks. These models allowed AI systems to make more complex decisions and generate more diverse outputs. One common use case is to build chatbots that can handle customer inquiries and complaints. These chatbots can be integrated into a company’s website or social media platforms and can provide instant responses to common questions, freeing up human customer service representatives to handle more complex issues.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. However, it was not until the development of deep learning algorithms and neural networks in the 2010s that generative AI truly began to flourish. Deep learning models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), enabled AI systems to generate highly realistic and complex outputs, such as photorealistic images and natural language text. Generative AI refers to a subfield of artificial intelligence that involves creating new content or data from a given set of inputs, often using techniques such as deep learning and neural networks. Generative models can be trained to produce various outputs, including text, images, music, and even video. This book provides an overview of machine learning which includes recommendation systems, face recognition, driverless cars, etc.

Introduction to Generative AI

The full table of contents, sample chapters and Python code are available on my GitHub repository. More details, including about my other books, can be found on my e-Store, here. This comprehensive reference on the topic features real-life datasets, enterprise-grade Python code, case studies, and technical details including state of the art application-oriented research results and algorithms. She generated separate background images and composited the images together, overlaying her cropped out character onto her backgrounds.

In a captivating memoir, an Egyptian American visionary and scientist provides an intimate view of her personal transformation as she follows her calling—to humanize our technology and how we connect with Yakov Livshits one another. It is offered at a steep discount to participants in my Generative AI certification program, available here. Another interesting aspect of ChatGPT is its ability to learn and adapt over time.

These are the 12 best books to get up to speed on the hot new world of generative AI, according to experts

We look into the revelations made by writer and programmer Alex Reisner in The Atlantic regarding the uncharted territory of authors’ pirated books being harnessed to power generative AI. GAN image generation has demonstrated its success in image generation, but biology has presented a challenging obstacle, and the quality of the generated image and the training stability are the two ultimate challenges. By the end of this book, you will know how to organize, train, and optimize GAN models and use them to solve a variety of real life problems. If you’ve used an AI tool, say ChatGPT, to craft a story which you later edited, that’s still AI-generated. The same goes if you used Mid-Journey or any other software for creating images or artwork, and later tweaked it.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

This AI book by Max Tegmark will surely inspire anyone to dive deeper into the field of Artificial Intelligence. It covers the larger issues and aspects of AI, including superintelligence, physical limits of AI, machine consciousness, etc. It also covers the aspect of automation and societal issues arising from AI. Recommended by both Elon Musk and Bill Gates, the book talks about steering the course through the unknown terrain of AI. The author of this book, Nick Bostrom, is a Swedish-born philosopher and polymath. His background and experience in computational neuroscience and AI lays the premise for this marvel of a book.

Yet the culture of piracy has, until now, facilitated mostly personal use by individual people. The exploitation of pirated books for profit, with the goal of replacing the writers whose work was taken—this is a different and disturbing trend. This is dangerous because some kinds of creative work simply can’t be done without more restrictive licenses.

This ebook aims to equip readers with the knowledge and insights needed to harness the power of generative AI in healthcare effectively. Get up to speed and deepen your understanding of the topics that are shaping your company’s future with the Insights You Need from Harvard Business Review series. The fact that generative AI is used in many domains also implies that its models can deal with different kinds of data, from natural language to audio or images.

Generative Adversarial Networks for Image Generation, by Xudong Mao, Qing Li

Not only has Meta alluded to using The Pile for training its in-house AI according to Gizmodo, but Google was slapped with a lawsuit for ‘secretly stealing’ data to train Bard. This is probably the best possible book I have read on the subject of ML, PyTorch and GANs for beginners. The author shows exceptional skills devised a flow of invaluable insights and any type of technical concepts, making it simple for readers to grasp them. Tariq uses Google Colab, which enables you to develop and execute GAN scripts freely from your laptop.

Applied Artificial Intelligence is a helpful handbook for business professionals who are enthusiastic about utilizing artificial intelligence to improve their company’s efficiency and the overall standard of living in their societies. It explores issues at the heart of the subject and provides an illuminating experience for the reader. Reuters, the news and media division of Thomson Reuters, is the world’s largest multimedia news provider, reaching billions of people worldwide every day. Reuters provides business, financial, national and international news to professionals via desktop terminals, the world’s media organizations, industry events and directly to consumers.