Hands-On Generative AI with Transformers and Diffusion Models

About the Authors

Omar Sanseviero was the chief llama officer and head of platform and community at Hugging Face, leading the developer advocacy engineering, on-device, and moonshot teams. Omar has extensive engineering experience working at Google in Google Assistant and TensorFlow Graphics. Omar’s work at Hugging Face was at the intersection of open source, product, research, and technical communities.

Pedro Cuenca is a machine learning engineer at Hugging Face, working on diffusion software, models, and applications. He has 20+ years of software development experience in fields like internet applications and iOS. As a cofounder and CTO of LateNiteSoft, he worked on the technology behind Camera+, a successful iPhone app that used custom ML models for photography enhancement. He created deep-learning models for tasks such as photography enhancement and super-resolution. He was also involved in the development of and operations behind DALL·E mini. He brings a practical vision of integrating AI research into real-world services and the challenges and optimizations involved.

Apolinário Passos is a machine learning art engineer at Hugging Face, working across teams on multiple machine learning use cases for art and creativity. Apolinário has 10+ years of professional and artistic experience, alternating between holding art exhibitions, coding, and product management, having been a head of product at World Data Lab. Apolinário aims to ensure that the ML ecosystem supports and makes ...