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Proposing an observational approach to understand language model scaling laws using 80 public models, showing predictability of model performance and emergent phenomena without extensive training across scales.
https://arxiv.org/abs//2405.10938
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
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
Proposing an observational approach to understand language model scaling laws using 80 public models, showing predictability of model performance and emergent phenomena without extensive training across scales.
https://arxiv.org/abs//2405.10938
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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