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The paper analyzes the emergence of new skills in language models when scaled up, using a statistical framework and mathematical analysis. It introduces the concept of "slingshot generalization" where competence levels violate usual generalization theory.
https://arxiv.org/abs//2307.15936
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper analyzes the emergence of new skills in language models when scaled up, using a statistical framework and mathematical analysis. It introduces the concept of "slingshot generalization" where competence levels violate usual generalization theory.
https://arxiv.org/abs//2307.15936
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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