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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.08801/</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/2404.08801/feed.xml" rel="self" type="application/rss+xml" /><item><title>Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length — mentioned by underlines</title><link>https://news.ycombinator.com/item?id=40070022</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.08801:40070022</guid><pubDate>Wed, 17 Apr 2024 21:01:48 GMT</pubDate><description>&lt;p&gt;tons and tons of papers, most of them had some disadvantages. Can&amp;#x27;t have the cake and eat it too: https://arxiv.org/html/2404.08801v1 Meta Megalodon https://arxiv.org/html/2404.07143v1 Google Infini-Attention https://arxiv.org/html/2402.13753v1 LongRoPE and a ton more&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.08801/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length — HN submission</title><link>https://news.ycombinator.com/item?id=40054901</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.08801:40054901</guid><pubDate>Tue, 16 Apr 2024 17:40:47 GMT</pubDate><description>&lt;p&gt;Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;168 points; 28 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.08801/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length — HN submission</title><link>https://news.ycombinator.com/item?id=40049880</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.08801:40049880</guid><pubDate>Tue, 16 Apr 2024 09:11:28 GMT</pubDate><description>&lt;p&gt;Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.08801/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length — HN submission</title><link>https://news.ycombinator.com/item?id=40049876</link><guid isPermaLink="false">urn:hackerpapers:submission:2404.08801:40049876</guid><pubDate>Tue, 16 Apr 2024 09:10:41 GMT</pubDate><description>&lt;p&gt;Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2404.08801/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
