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People of AI is a podcast showcasing inspiring people with interesting stories in the world of Artificial Intelligence (AI) and its subset, Machine Learning (ML). The podcast will interview leaders, practitioners, researchers and learners in the field of AI/ML and invite them to share their stories, what they are building, lessons learned along the way, and excitement for the AI/ML industry. 

This podcast is sponsored by Google. Any remarks made by the speakers are their own and are not endorsed by Google.

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

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

Oct 26, 2023

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