Sept. 10, 2022, 8 a.m. | AI Coffee Break with Letitia

AI Coffee Break with Letitia www.youtube.com

„Beyond neural scaling laws: beating power law scaling via data pruning” paper explained with animations. You do not need to train your neural network on the entire dataset!
Sponsor: NVIDIA ❗ use this link to register for the GTC 👉 https://nvda.ws/3p4E5K8
Google Form to enter DLI credits giveaway: https://forms.gle/rkZS4u5rfyySr6iP9

ERRATUM: See pinned comment for what easy/hard examples are chosen.

📺 PaLM model explained: https://youtu.be/yi-A0kWXEO4

Check out our daily #MachineLearning Quiz Questions: https://www.youtube.com/c/AICoffeeBreak/community
Paper 📜: Sorscher, Ben, Robert Geirhos, Shashank Shekhar, …

explained laws paper scaling

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Risk Management - Machine Learning and Model Delivery Services, Product Associate - Senior Associate-

@ JPMorgan Chase & Co. | Wilmington, DE, United States

Senior ML Engineer (Speech/ASR)

@ ObserveAI | Bengaluru