Name: Keynote Panel Discussion: Scaling & Benchmarking - Anastasios Nikolas Angelopoulos, UC Berkeley/LMSYS; Lisa Dunlap, UC Berkeley; James Bradbury, Anthropic; Tri Dao, together.ai; Aparna Ramani & Soumith Chintala, Meta
Start: 2024-09-19T13:40:00-0700
End: 2024-09-19T14:10:00-0700

September 18-19, 2024
San Francisco, California
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Thursday September 19, 2024 1:40pm - 2:10pm PDT

Festival Pavilion - Keynote Room

Moderators

Soumith Chintala

VP/Fellow of Meta & Co-Creator of PyTorch

I am an Artificial Intelligence researcher, engineer and community builder.I am currently at Meta, jumping between Engineering, Research and Leadership as I find convenient. I also visit NYU as a part-time researcher.My career interests have been defined by two sets of work: AI Platforms/Ecosystems... Read More →

Speakers

Anastasios Nikolas Angelopoulos

Researcher, UC Berkeley/LMSYS

James Bradbury

Software Engineer, Anthropic

James is Head of Compute at Anthropic, where he is focused on ensuring that the company has the accelerator resources it needs to pursue its mission, and that the resources can be used effectively and efficiently across the organization. He joined in 2023 from Google DeepMind, where... Read More →

Lisa Dunlap

Student, UC Berkeley

PhD student at UC Berkeley working on (1) interpreting and evaluating generative models and (2) automating data science on unstructured data using large multimodal modelsAlso an underwhelming nail enthusiast and reader of old psychiatry books.

Tri Dao

Assistant Professor at Princeton University, Chief Scientist of Together AI, Princeton University, Together AI

Tri Dao is an Assistant Professor at Princeton University and chief scientist of Together AI. He completed his PhD in Computer Science at Stanford, co-advised by Christopher Ré and Stefano Ermon. He works at the intersection of machine learning and systems, and his research highlights... Read More →

Aparna Ramani

VP Engineering, Meta

Aparna is VP Engineering at Meta, responsible for AI Infrastructure, Data Infrastructure and Developer Infrastructure. Over the last eight years at Meta, Aparna has built a world-class team that is responsible for some of the largest scale systems on the planet - to process exabyte-scale... Read More →

Thursday September 19, 2024 1:40pm - 2:10pm PDT
Festival Pavilion - Keynote Room

Keynote Sessions

PyTorch Conference 2024