Keynote: AI and the stuff built for AI -- are they actually useful for data science?
11-02, 09:10–09:45 (America/New_York), Central Park West (Room 6501)

Keynote by Soumith Chintala


Let's look at the trendy AI stuff: PyTorch, LLaMa, GPT, GPUs, CUDA, Diffusion, MidJourney, etc. Is any of this actually useful for data science and data engineering? That's the question we'll explore by going through a wild ride across several broad topics from education to efficiency to practicality.


Prior Knowledge Expected

No previous knowledge expected

Soumith Chintala is an Engineer at Meta, where he works on high-performance Artificial Intelligence (AI). Soumith co-created PyTorch, a major scientific computing framework within the AI community. Soumith also holds a visiting research position at NYU, focusing on Robotics. Soumith focuses on high-performance computing, computer vision, generative AI and robotics.

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