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