About Me
Thomas Wolf is co-founder and Chief Science Officer (CSO) of Hugging Face where he has been at the inception of the open-source, educational and research efforts.
Thomas enjoys creating open-source software that make complex research, models and datasets widely accessible (for instance by creating the Hugging Face Transformers and Datasets libraries). When he's not building OSS libraries, he can be found pushing for open-science in research in AI/ML, trying to lower the gap between academia and industrial labs through projects like the BigScience Workshop on Large Language Models (LLM) which lead to the BLOOM experiments, model and dataset. His current research interests circle around LLM accessibility as well as measuring and overcoming present limitations of Large Language Models. He also enjoys writing and filming educational content on AI, ML and NLP, including writing the reference book "Natural Language Processing with Transformers" published at O'Reilly with amazing co-authors, writing (not often enough) in his blog and recording (also not often enough) educational videos like The Future of Natural Language Processing.
Hear My Insights
Where Will GenAI Take Us in the Next Decade?
In the past 18 months, generative AI has hit the ground running. As it is increasingly integrated in our daily lives, a recent McKinsey report estimates that the technology could add up to $4.4 trillion to the global economy. GenAI is moving fast, which begs the question: just how far can - and should - it go? From the new capabilities smarter models could unlock, to the technical obstacles paving the road and the biggest potential beneficiaries, this session explores the next frontier for this revolutionary technology.