Meet Sharon Zhou, an adjunct faculty member at Stanford University and co-founder of Stealth Startup. Join us as we talk about the power and interconnectedness of language as we dive into generative AI models, stable diffusion, large language models, and learn how every problem – according to Sharon – is just a translation problem.
Check out Sharon’s startup here: https://goo.gle/3TENTJk
Learn more about Sharon’s courses here:
Build Basic Generative Adversarial Networks (GANs) → https://goo.gle/3lr3AqU
Build Better Generative Adversarial Networks (GANs) → https://goo.gle/3JAPgUA
Apply Generative Adversarial Networks (GANs) → https://goo.gle/3ZdaoWK
CS236G Generative Adversarial Networks (GANs) → https://goo.gle/3TCVhEX
Guest bio: Sharon Zhou is currently an adjunct faculty member at Stanford University where she defended her PhD (in an impressive 3.5 years) on generative AI models, advised by Andrew Ng. She is also the co-founder of Stealth Startup, working on democratizing access and ease of use of AI by making it easier to program and customize large language models. She has a passion for teaching AI and is currently teaching 80,000 students about GANs, diffusion models and more on Coursera, and was an AI advisor to key AI policymakers in Washington D.C. Fun facts about Sharon: she was the first student in the history of Harvard University to major in Classics and Computer Science, and is featured in MIT Technology Review's 35 Under 35. To top that, she is also a poet.
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