Podcast S3/E9 – Lewis Tunstall – The building blocks of machine learning
Lewis Tunstall explains how he moved from particle physics into data science and machine learning.
This archive includes automatic translations. Audio, video and text inside images remain in their original language.
Lewis Tunstall explains how he moved from particle physics into data science and machine learning. We explore his work at Hugging Face, transformer models and the challenges of making these tools available to more people and languages. We also discuss artificial general intelligence, how to assess the impact of your work and the first steps towards learning machine learning and deep learning.
Links
Index
0:00 – Introduction
00:43 – Meet Lewis
04:55 – What did you want to be when you were little? About football and music
09:30 – Moving from particle physics to data science
12:30 – About the work on Hugging Face and optimization transformers
15:03 – What challenges do you encounter in your work?
17:36 – Why is Spanish necessary in data science?
20:55 – Have we reached the impasse of the transformers?
25:40 – What would you like to see AI capable of doing in 10 years?
29:50 – About AGI (Artificial General Intelligence)
38:00 – How do you measure your impact?
42:12 – What would you recommend to our students and those who want to enter the world of ML and DL?
Listen to more conversations on Spotify, Apple Podcasts or YouTube.
A history of the Saturdays.AI community. Originally published on February 9, 2022.
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