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650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy
Media Type |
audio
Categories Via RSS |
Business
Publication Date |
Feb 03, 2023
Episode Duration |
00:07:47
SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications. Additional materials: www.superdatascience.com/650 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

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