47 min listen
Why the Future of Machine Learning is Open Source with Huggingface’s Clem Delangue
FromNo Priors: Artificial Intelligence | Technology | Startups
Why the Future of Machine Learning is Open Source with Huggingface’s Clem Delangue
FromNo Priors: Artificial Intelligence | Technology | Startups
ratings:
Length:
32 minutes
Released:
Feb 23, 2023
Format:
Podcast episode
Description
After starting as a talking emoji companion, Hugging Face is now an organizing force for the open source AI research ecosystem. Its models are used by companies such as Apple, Salesforce and Microsoft, and it's working to become the GitHub for ML.
This week on the podcast, Sarah Guo and Elad Gil talk to Clem Delangue, co-founder and CEO of Hugging Face. Clem shares how they shifted away from their original product, why every employee at Hugging Face is responsible for community-building, the modalities he's most interested in, and what role open source has in the AI race.
Show Links:
Hugging Face website
The $2 Billion Emoji: Hugging Face Wants To Be Launchpad For A Machine Learning Revolution - Forbes
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @Saranormous | @EladGil | @ClementDelangue
Show Notes:
[01:53] - how Clem first became interested in ML, being shouted at by eBay sellers, and the foretelling of the end of barcode scanning
[3:34] - early iterations of Hugging Face, trying to make a less boring AI tamagotchi, and switching directions towards open source tools
[5:36] - advice for founders considering a change in direction, 30%+ experimentation
[7:39] - 1st users, MLTwitter, approach to community
[10:47] - enterprise ML maturity, days to production
[12:54] - open source vs. proprietary models
[15:56] - main model tasks, architectures and sizes
[19:12] - decentralized infrastructure, data opt out
[24:16] - Hugging Face’s business model, GitHub
[28:09] - What Clem is excited about in AI
This week on the podcast, Sarah Guo and Elad Gil talk to Clem Delangue, co-founder and CEO of Hugging Face. Clem shares how they shifted away from their original product, why every employee at Hugging Face is responsible for community-building, the modalities he's most interested in, and what role open source has in the AI race.
Show Links:
Hugging Face website
The $2 Billion Emoji: Hugging Face Wants To Be Launchpad For A Machine Learning Revolution - Forbes
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @Saranormous | @EladGil | @ClementDelangue
Show Notes:
[01:53] - how Clem first became interested in ML, being shouted at by eBay sellers, and the foretelling of the end of barcode scanning
[3:34] - early iterations of Hugging Face, trying to make a less boring AI tamagotchi, and switching directions towards open source tools
[5:36] - advice for founders considering a change in direction, 30%+ experimentation
[7:39] - 1st users, MLTwitter, approach to community
[10:47] - enterprise ML maturity, days to production
[12:54] - open source vs. proprietary models
[15:56] - main model tasks, architectures and sizes
[19:12] - decentralized infrastructure, data opt out
[24:16] - Hugging Face’s business model, GitHub
[28:09] - What Clem is excited about in AI
Released:
Feb 23, 2023
Format:
Podcast episode
Titles in the series (64)
What is the role of academia in modern AI research? With Stanford Professor Dr. Percy Liang: When AI research is evolving at warp speed and takes significant capital and compute power, what is the role of academia? Dr. Percy Liang – Stanford computer science professor and director of the Stanford Center for Research on Foundation Models talks about training costs, distributed infrastructure, model evaluation, alignment, and societal impact. Sarah Guo and Elad Gil join Percy at his office to discuss the evolution of research in NLP, why AI developers should aim for superhuman levels of performance, the goals of the Center for Research on Foundation Models, and Together, a decentralized cloud for artificial intelligence. by No Priors: Artificial Intelligence | Technology | Startups