650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy

from Super Data Science: ML & AI Podcast with Jon Krohn · host Jon Krohn

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.

Episode metadata supplied by the publisher feed · Published Feb 3, 2023

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This episode was published on February 3, 2023.

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