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The paper explores the use of speculative sampling to reduce latency in text generation, comparing it to autoregressive sampling. The authors also discuss the use of model-based optimizations and provide a Jupyter notebook and sample executions.
https://arxiv.org/abs//2311.04951
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
By Igor Melnyk5
33 ratings
The paper explores the use of speculative sampling to reduce latency in text generation, comparing it to autoregressive sampling. The authors also discuss the use of model-based optimizations and provide a Jupyter notebook and sample executions.
https://arxiv.org/abs//2311.04951
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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