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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Decoding Speculative Decoding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.01528/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2402.01528/feed.xml" rel="self" type="application/rss+xml" /><item><title>Decoding Speculative Decoding — mentioned by lhl</title><link>https://news.ycombinator.com/item?id=41676369</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.01528:41676369</guid><pubDate>Fri, 27 Sep 2024 23:01:55 GMT</pubDate><description>&lt;p&gt;Orders of magnitude seems a bit ambitious. The implementation from the DeepMind paper achieved a 2-2.5X https://arxiv.org/pdf/2302.01318 and most of the tests I&amp;#x27;ve seen [1][2] have been similar, but there are different variations (Medusa, Ouroboros, etc) that can do better/be combined. Recently Together.ai published SpecExec, a SD variant which did claim to get a 10-18X speedups: https://www.together.ai/blog/specexec [1] https://www.reddit.com/r/LocalLLaMA/comments/17h4rqz/specula... [2] https://arxiv.org/pdf/2402.01528v3&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.01528/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
