<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt Cache: Modular Attention Reuse for Low-Latency Inference · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2311.04934/</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/2311.04934/feed.xml" rel="self" type="application/rss+xml" /><item><title>Prompt Cache: Modular Attention Reuse for Low-Latency Inference — mentioned by xihajun</title><link>https://news.ycombinator.com/item?id=41308419</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.04934:41308419</guid><pubDate>Wed, 21 Aug 2024 09:26:38 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/pdf/2311.04934&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.04934/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Prompt Cache: Modular Attention Reuse for Low-Latency Inference — mentioned by sshumaker</title><link>https://news.ycombinator.com/item?id=40383452</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.04934:40383452</guid><pubDate>Thu, 16 May 2024 21:30:29 GMT</pubDate><description>&lt;p&gt;This is a pretty standard technique if you&amp;#x27;re running the models yourself. e.g. ChatGPT almost certainly does this. There&amp;#x27;s even work that is more sophisticated in this domain that allows &amp;#x27;template&amp;#x27; style partial caching: https://arxiv.org/abs/2311.04934&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.04934/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
