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Big Science and Embodied Learning at Hugging Face ? with Thomas Wolf - #564

Big Science and Embodied Learning at Hugging Face ? with Thomas Wolf - #564

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Big Science and Embodied Learning at Hugging Face ? with Thomas Wolf - #564

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
47 minutes
Released:
Mar 21, 2022
Format:
Podcast episode

Description

Today we’re joined by Thomas Wolf, co-founder and chief science officer at Hugging Face ?. We cover a ton of ground In our conversation, starting with Thomas’ 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 Thomas’ 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
Released:
Mar 21, 2022
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.