podcast / OpenAI, interview, technical,

OpenAI's “Scaling Laws for Autoregressive Generative Modeling”

An interview with Tom Henighan about the recent paper “Scaling Laws for Autoregressive Generative Modeling”

OpenAI's “Scaling Laws for Autoregressive Generative Modeling”

Take a listen to our interview with Tom Henighan, a member of the technical staff at OpenAI working on the safety team, about the recent paper “Scaling Laws for Autoregressive Generative Modeling” that he co-authored with many others at OpenAI:

<iframe title="OpenAI's "Scaling Laws for Autoregressive Generative Modeling"" src="https://www.podbean.com/media/player/qxpmm-f1a06e&?from=usersite&skin=1&fonts=Helvetica&auto=0&download=1&share=1&version=1&btn-skin=103" height="122" width="100%" style="border: none;" scrolling="no" data-name="pb-iframe-player"></iframe>

Subscribe: RSS | iTunes | Spotify | Pocket Casts | YouTube

< >
More like this
AI news in 2021 (so far) with the Towards Data Science Podcast
podcast / interview,

AI news in 2021 (so far) with the Towards Data Science Podcast

A discussion of some AI highlights from the first half of 2021
July 21, 2021
Sean McGregor on the AI Incident Database and the AI XPRIZE
podcast / interview,

Sean McGregor on the AI Incident Database and the AI XPRIZE

An interview with Sean McGregor, the ML architect at the neural accelerator startup Syntiant
July 6, 2021
Jordan Harrod on being an AI researcher and educator
podcast / interview,

Jordan Harrod on being an AI researcher and educator

An interview with AI researcher Jordan Harrod, who is also a YouTuber who creates educational videos about AI
June 28, 2021
Follow us
Get more AI coverage in your email inbox: Subscribe
x
© 2024 Andrey Kurenkov Privacy Policy / Contact