
Sign up to save your podcasts
Or


Today weâre joined by Thomas Wolf, co-founder and chief science officer at Hugging Face đ¤. We cover a ton of ground In our conversation, starting with Thomasâ interesting backstory as a quantum physicist and patent lawyer, and how that lead him to a career in machine learning. We explore how Hugging Face began, what the current direction is for the company, and how much of their focus is NLP and language models versus other disciplines. We also discuss the BigScience project, a year-long research workshop where 1000+ researchers of all backgrounds and disciplines have come together to create an 800GB multilingual dataset and model. We talk through their approach to curating the dataset, model evaluation at this scale, and how they differentiate their work from projects like Eluther AI. Finally, we dig into Thomasâ work on multimodality, his thoughts on the metaverse, his new book NLP with Transformers, and much more!
The complete show notes for this episode can be found at twimlai.com/go/564
By Sam Charrington4.7
419419 ratings
Today weâre joined by Thomas Wolf, co-founder and chief science officer at Hugging Face đ¤. We cover a ton of ground In our conversation, starting with Thomasâ interesting backstory as a quantum physicist and patent lawyer, and how that lead him to a career in machine learning. We explore how Hugging Face began, what the current direction is for the company, and how much of their focus is NLP and language models versus other disciplines. We also discuss the BigScience project, a year-long research workshop where 1000+ researchers of all backgrounds and disciplines have come together to create an 800GB multilingual dataset and model. We talk through their approach to curating the dataset, model evaluation at this scale, and how they differentiate their work from projects like Eluther AI. Finally, we dig into Thomasâ work on multimodality, his thoughts on the metaverse, his new book NLP with Transformers, and much more!
The complete show notes for this episode can be found at twimlai.com/go/564

480 Listeners

1,089 Listeners

170 Listeners

303 Listeners

334 Listeners

208 Listeners

201 Listeners

95 Listeners

512 Listeners

130 Listeners

227 Listeners

608 Listeners

25 Listeners

35 Listeners

40 Listeners