24 January 202453 min 5 sec

About the Session

In this episode of Leading With Data, we interact with Thomas Wolf, Co-founder of Hugging Face 🤗

 

Thomas Wolf is the co-founder of Hugging Face. He has been leading the open-source, educational and research efforts. Thomas led the team which created the famous Transformers library and then was part of BLOOM Large Multilingual Language Model.

Watch as he delves into:

➡️ His diverse background, a PhD in Physics, a degree in law, and then finally working in the AI field!

➡️ Initial days of Hugging Face where they intended to create an AI companion

➡️ Their pivot to releasing their open-source libraries underscoring support for open-source

➡️ How developing the GPT and the BERT libraries eventually led to the creation of the famous Transformers library

➡️ Why the creation of BLOOM Multilingual LLM and other libraries were part of a plan to enable AI for everyone

➡️ The future - better open-source LLMs, datasets for LLMs, Mabma architecture, and more

➡️ His interesting take on the development of the video generation field

➡️ The future of Hugging Face!🤗

About the Speaker

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Thomas Wolf

Co-Founder at Hugging Face

Thomas Wolf is the co-founder of Hugging Face. He has been leading the open-source, educational and research efforts. Thomas led the team which created the famous Transformers library and then was part of BLOOM Large Multilingual Language Model.

Keynotes/transcript

Arnav Garg (15:32 min)

Arnav Garg (15:32 min)

Arnav Garg (15:32 min)

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