What’s New in AI: Generative AI with Dan Jeffries

Join George Anadiotis and Dan Jeffries, former CIO at Stability AI, for a discussion on the current developments in the field of generative AI, open source AI research, and state-of-the-art AI models such as Stable Diffusion that are making waves in the field—and beyond. Hear about the applications that are being built with generative AI, the challenges and limitations of these powerful models, the impact they’ll have in industries such as media, biotech, and software development, and more.

What’s New in AI gives you a chance to hear from leading minds in the field on topics such as generative AI, large language models, responsible AI, current regulations, and other developments as they appear. Host George Anadiotis, founder of Linked Data Orchestration, and members of O’Reilly’s community of experts help you make sense of the bigger picture in AI and leverage emerging AI technologies to solve your organization’s most challenging problems.

• Understand the origins of and vision behind the generative AI renaissance and discover what’s coming next
• Explore the Diffusion architecture and learn how to use it to create and customize generative AI models

• You want to understand the potential of generative AI as a tool for building innovative solutions and products for your organization.
• You’re a data scientist, machine learning engineer, machine learning architect, leader, or practitioner who designs, develops, and deploys machine learning systems.
• You want to keep up-to-date on the latest developments and breakthroughs in the field of AI.

Recommended follow-up:

• Read Hands-On Generative AI with Transformers and Diffusion Models ( early release book)
• Read “Autoencoders, GANs, and Diffusion Models” (chapter 17 in Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow)
• Read “Image and Text Generation” (chapter 12 in Practical Machine Learning for Computer Vision)
• Read “Text Generation” (chapter 5 in Natural Language Processing with Transformers)
• Read Generative Deep Learning, second edition (early release book)