Meet Sayak Paul, a Machine Learning Engineer specializing in diffusion models at Hugging Face and GDE for ML and Google Cloud. He shares how his community contributions led him towards getting his current dream job at Hugging Face. Join Ashley, Gus, and Sayak for a chat about resources for developers to get into machine learning, how diffusion models have exploded in the past year, the role of responsible AI and much more.

Resources mentioned: Google Developer Expert Program → https://goo.gle/3S6IVGo TF Hub → https://goo.gle/3S5t9LY Hugging Face →https://goo.gle/45KyBXC Sayak bio and website → https://goo.gle/3Mas9Cv Sayak’s Twitter → https://goo.gle/3QtxEO7

Courses: Google Summer of Code→ https://goo.gle/3Fv2CA4 fast.ai course → https://goo.gle/45HRLxp Coursera Deep Learning specialization → https://goo.gle/3S8Kljx CS 231N - Stanford → https://goo.gle/3QvIt3o

Books: Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop (Author) → https://goo.gle/493iJm3 Grokking Deep Learning First Edition, by Andrew Trask (Author) → https://goo.gle/40fNX5y

Sayak Paul - Getting started with community contributions, diffusion models, and more