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        "url": "https://arxiv.org/abs/2211.17192",
        "title": "Fast Inference from Transformers via Speculative Decoding",
        "publisher": "arXiv (Leviathan, Kalman, Matias / Google Research)",
        "publishedDate": "2022-11-30",
        "accessedDate": "2026-05-16",
        "type": "preprint",
        "excerpt": "Inference from large autoregressive models like Transformers is slow - decoding K tokens takes K serial runs of the model. In this work we introduce speculative decoding - an algorithm to sample from autoregressive models faster without any changes to the outputs, by computing several tokens in parallel."
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        "url": "https://proceedings.mlr.press/v202/leviathan23a.html",
        "title": "Speculative Decoding — ICML 2023 proceedings",
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        "publishedDate": "2023-07-23",
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