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

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

2023/10/26
logo of podcast People of AI

People of AI

Shownotes Transcript

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