Books and eBooks
- “Generative Deep Learning” by David Foster (2019) – A comprehensive introduction to generative modeling techniques like GANs, VAEs, and autoregressive models.
- “Deep Learning with Python” by Francois Chollet (2017) – While not solely focused on generative AI, this book covers the fundamentals of deep learning that underpin modern generative models.
- “Generative Adversarial Networks Cookbook” by Eric Baptista and Masashi Ono (2021) – A hands-on guide with code examples for building different types of GANs.
- “Deep Learning for Coders with fastai and PyTorch” by Jeremy Howard and Sylvain Gugger (2020) – Covers the fastai library which has great support for generative models like GANs.
- “Deep Learning for Natural Language Processing” by Bharath Ramsundar et al. (2021) – Explains core techniques like transformers used in large language models.
- “The Precipice” by Toby Ord (2020) – An influential book analyzing existential risks including potential risks from advanced AI systems like generative models.
- “You Look Like a Thing and I Love You” by Janelle Shane (2019) – A lighthearted and accessible look at the creative potential and quirks of generative AI systems.
- “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville – Although not exclusively about generative AI, this book provides a comprehensive introduction to deep learning, including a detailed chapter on generative models that is essential for understanding the fundamentals of technologies like GANs (Generative Adversarial Networks).
- “GANs in Action: Deep learning with Generative Adversarial Networks” by Jakub Langr and Vladimir Bok – This book focuses specifically on GANs, offering insights into the architecture and applications of these powerful generative models. It includes practical examples and code snippets, making it accessible for programmers and data scientists.
- “Architectural Intelligence: How Designers and Architects Created the Digital Landscape” by Molly Wright Steenson – This book delves into the intersection of architecture, design, and AI, providing a historical perspective that enriches the understanding of generative design in AI.
- “Artificial Intelligence: A Guide for Thinking Humans” by Melanie Mitchell – While broader in scope, this book addresses key concepts in AI, including generative models, and discusses the implications of AI from an ethical and practical perspective.
- “Impromptu: Amplifying Our Humanity Through AI” by Reid HoffmanThis book, written with the help of GPT-4, provides an insider’s perspective on generative AI from a former OpenAI board member.
- “The Creative Mind: Myths and Mechanisms, 2nd Edition” by Margaret A. BodenThis classic book explores the nature of human creativity and how it relates to the development of artificial intelligence, including generative AI.
- “The Alignment Problem” by Brian Christian While not specifically about generative AI, this book discusses the broader ethical and safety challenges that arise when AI systems don’t behave as expected, which is highly relevant to the field.
- “Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play” by David FosterThis hands-on guide delves into the practical applications of generative AI in creative domains, making it a great introduction to the field.
Blogs and Online Magazines
- Towards Data Science – A Medium publication that features content on data science and AI, including topics on generative AI techniques and applications.
- The Gradient – Focuses on cutting-edge AI and deep learning research and trends, often covering the latest advancements in generative models.
- AI Weirdness – Janelle Shane’s blog explores the quirky and humorous side of AI, often experimenting with generative models to create amusing and unexpected results.
- DeepMind Blog – Offers insights into the research projects and breakthroughs from one of the leading AI research organizations.
- OpenAI Research News – A key source for the latest research, findings, and updates directly from OpenAI, known for their pioneering work in generative models like GPT-3.
- Synced – Provides AI industry news and analysis, with comprehensive coverage of new research developments in generative AI.
- Distill – Publishes clear and understandable explanations of machine learning concepts and findings, including generative AI technologies.
- Analytics Vidhya – Features articles, tutorials, and case studies on various AI topics, including practical guides on implementing generative AI models.
- MarkTechPostA California-based website that covers the latest developments in machine learning, AI, and deep learning, including research and industry news.
- There’s An AI For That One of the world’s largest AI aggregators, providing information on over 300,000 AI tools for various tasks.
- The BAIR Blog (Berkeley Artificial Intelligence Research)- A blog from the University of California, Berkeley that provides accessible research findings, perspectives, and updates on AI.
- Machine Learning Mastery – A blog written by Jason Brownlee, PhD, that offers tutorials, guides, and advice for developers working on machine learning projects.
- Bernard Marr A blog by a successful social media influencer in the business and technology space, covering topics like the history of generative AI, music AI, and the future of the digital revolution.
- AWS Machine Learning Blog A frequently updated blog from Amazon Web Services that provides information and resources on the latest AI services and developments.OpenAI BlogThe blog from the creators of ChatGPT, which covers the latest news and developments in the world of AI.
- The AI Alignment Forum – In-depth technical discussions and analysis on AI safety and ethics, including generative models.
- Lil’Log – Blog by Lilian Weng covering the latest AI research, with a focus on generative models.
- Anthropic AI Research Blog – Technical deep dives into the latest generative AI models from Anthropic.
- Ars Technica AI/Machine Learning Section – Excellent reporting and analysis on the latest generative AI breakthroughs.
- MIT Technology Review AI Section – Insightful articles on the capabilities and implications of generative AI.
Documentaries and Educational Videos
There are several great documentaries and educational video series that can help provide an understanding of generative AI. These resources range from short engaging videos to entire university course lectures. They cover the technical underpinnings as well as the broader context around the development and use of generative AI models.
- “It’s Time to Pay Attention to A.I. (ChatGPT and Beyond)” (Cold Fusion) This video from the Cold Fusion YouTube channel focuses on OpenAI’s ChatGPT model, exploring its many uses, including helping with professional emails, parking fines, mental health counseling, and more.
- “Age of A.I.” hosted by Robert Downey Jr. – Available on YouTube, this series explores the impact of AI technologies, including generative AI, on various fields such as healthcare, art, and more.
- Two Minute Papers – A YouTube channel that provides easy-to-understand summaries of recent research papers in AI, including developments in generative models.
- Siraj Raval’s YouTube Channel – Offers educational videos that cover a range of topics in machine learning and AI, with practical coding tutorials on generative AI models.
- Lex Fridman’s Podcasts and YouTube Interviews – Lex Fridman often interviews pioneers and leading researchers in AI, discussing deep insights into generative AI and other AI technologies.
- TED Talks on Artificial Intelligence – TED provides a range of talks related to AI, some of which explore the implications and capabilities of generative AI.
- Kurzgesagt – In a Nutshell – A YouTube channel known for its beautifully animated videos that explain complex subjects, including AI, in simple terms.
- DeepMind’s YouTube Channel – Offers videos on their latest research and applications in AI, providing insights into the cutting-edge advancements in generative AI.
- “Generative AI Is About To Reset Everything, And, Yes It Will Change Your Life” (Forbes)This 20-minute documentary from Forbes examines the rise of generative AI and its potential impact on modern society, the workplace, and democracy.
- “The Cr[AI]tive Revolution – The Future of Art” (Jonas Tyroller)This longer documentary from indie game developer Jonas Tyroller delves into the effects generative AI will have on artists and what they can do to best take advantage of it.
- “Machine Learning: Living in the Age of AI” (Wired) This 2019 film from Wired touches on a wide range of AI use cases, as well as the ethical implications that arise from the technology.
- “Artificial intelligence And Its Ethics” (DW)This documentary from DW explores the use of AI in healthcare, surveillance, and autonomous weapons, with insights from experts.
- Generative AI in Teaching & Learning (Harvard University)This YouTube playlist from Harvard University explores the various ways faculty are using generative AI tools to support and enhance teaching and learning.
- “Generative AI in Education: The Future of Teaching and Learning” (Bernard Marr)This video from Bernard Marr examines how generative AI is set to revolutionize the field of education, from enhancing teaching to personalizing learning experiences.
- “Machine Learning: Living in the Age of AI” (2023) – Docuseries by Josh Toussaint-Strauss that explores the rise of AI including generative models.
- “In Machines We Trust” (2020) – Documentary that examines the promise and perils of entrusting decision-making to AI systems like generative models.
- “MIT 6.S191: Introduction to Deep Learning” (2022) – Full MIT course with lectures covering generative models like VAEs, GANs, diffusion.
- “Stanford CS231n: Convolutional Neural Networks for Visual Recognition” (2021) – Includes lessons on deep generative models for images.
- “Neural Networks” Playlist by 3Blue1Brown – Excellent animated video series visually explaining concepts behind generative networks.
- “AI Adventures” by Google – Animated educational series covering fundamentals relevant to generative AI models.
- “Generative AI Is About To Reset Everything, And, Yes It Will Change Your Life” (Forbes) This 20-minute documentary from Forbes examines the rise of generative AI and its potential impact on modern society, the workplace, and democracy.