24 January 2024 • 53 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
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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