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[QA] Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
The paper explores challenges in predicting downstream capabilities of scaled AI systems, identifying factors degrading the relationship between performance and scale, focusing on multiple-choice benchmarks.
https://arxiv.org/abs//2406.04391
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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By Igor Melnyk
5
33 ratings
The paper explores challenges in predicting downstream capabilities of scaled AI systems, identifying factors degrading the relationship between performance and scale, focusing on multiple-choice benchmarks.
https://arxiv.org/abs//2406.04391
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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