Fourier Head: Helping Large Language Models Learn Complex Probability Distributions

from Arxiv Papers · host Igor Melnyk

The paper introduces a Fourier series-based neural network layer to improve continuous token modeling in decision-making and time series tasks, enhancing performance in various benchmarks. https://arxiv.org/abs//2410.22269 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

Episode metadata supplied by the publisher feed · Published Oct 30, 2024

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Fourier Head: Helping Large Language Models Learn Complex Probability Distributions

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