7 min

[QA] Better & Faster Large Language Models via Multi-token Prediction Arxiv Papers

    • Ciencias

Training language models to predict multiple future tokens at once improves sample efficiency, downstream capabilities, and inference speed without increasing training time, especially beneficial for larger models and generative tasks.



https://arxiv.org/abs//2404.19737



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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Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

Training language models to predict multiple future tokens at once improves sample efficiency, downstream capabilities, and inference speed without increasing training time, especially beneficial for larger models and generative tasks.



https://arxiv.org/abs//2404.19737



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




---

Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

7 min

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