Aioli: A unified optimization framework for language model data mixing
from Arxiv Papers Hosted by Igor Melnyk
This paper introduces AIOLI, a new method for dynamically adjusting data mixture proportions during training, outperforming existing methods and improving language model performance across multiple datasets. https://arxiv.org/abs//2411.05735 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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This episode is 29 minutes long.
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This episode was published on November 11, 2024.
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