No Priors: Artificial Intelligence | Technology | Startups
Why the Future of Machine Learning is Open Source with Huggingface’s Clem Delangue
Feb 23, 2023
In a fascinating discussion, Clem Delangue, Co-founder and CEO of Hugging Face, dives into the transformative journey of his company from a simple emoji companion to a cornerstone of the open source AI ecosystem. He shares insights on community-building and the importance of open-source models versus proprietary ones. Clem also elaborates on the company's shift in focus, emphasizing ethical data practices and the role of transparency in AI. Additionally, he touches on the potential of machine learning in biology and chemistry, hinting at its impact on future innovations.
31:39
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Quick takeaways
- The rapid integration between science and production is driving the speed of progress in machine learning.
- HuggingFace transitioned from an AI chatbot project to an open-source community, becoming a collaboration platform and model repository for the machine learning ecosystem.
Deep dives
Fast Integration of Machine Learning into Production
In traditional science, the norm was that research would take years or decades before making its way into production. However, in the field of machine learning, we are witnessing a much faster cycle where research is being applied to production in just a matter of months or even days. This rapid integration between science and production is seen as the main driver for the speed of progress in machine learning, and it is hoped that this cycle continues in the future.
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