Episode description

Large, generative machine learning models are almost everywhere today, but sometimes they run into some trouble. In today's episode Yudong Cao joins us to talk about how generative AI can be used for more than just toy problems, what business use cases will benefit from it, and how quantum computing ties in. Plus, we dive into synthetic data and tensor networks!

The Near-term Promise of Quantum Generative AI: https://www.zapatacomputing.com/the-near-term-promise-of-quantum-generative-ai/

Where We Are -- and Are Not -- With Quantum Computing: https://www.zapatacomputing.com/where-we-are-and-are-not-with-quantum-computing/

Generative AI is here: How tools like ChatGPT could change your business: https://www.mckinsey.com/capabilities/quantumblack/our-insights/generative-ai-is-here-how-tools-like-chatgpt-could-change-your-business

Generative AI: A Creative New World: https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/

Generative AI: The Next Consumer Platform: https://a16z.com/2023/02/07/everyday-ai-consumer/

Intro/Outro music: Oblivious by Nihilore (https://www.nihilore.com/synthwave)

Nihilore license: https://creativecommons.org/licenses/by/4.0/legalcode

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The Quantum Pod is produced by Zapata Computing

Host: Ethan Hansen

Guest: Yudong Cao

Editing: Ethan Hansen

Special thanks to: Mick Emmett