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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>YUAN 2.0: A Large Language Model with Localized Filtering-based Attention · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2311.15786/</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/2311.15786/feed.xml" rel="self" type="application/rss+xml" /><item><title>YUAN 2.0: A Large Language Model with Localized Filtering-based Attention — mentioned by genidoi</title><link>https://news.ycombinator.com/item?id=38539755</link><guid isPermaLink="false">urn:hackerpapers:mention:2311.15786:38539755</guid><pubDate>Wed, 06 Dec 2023 02:15:52 GMT</pubDate><description>&lt;p&gt;It was made to be small out of necessity. The US government put extensive export controls on many inter-GPU connectivity products last year and expanded those controls recently to include anything above an A100. Page 9 of this recently published paper[1] is a strong indicator of how far non-US firms go to formally analyze and factor in these bandwidth constraints in building large models. [1] https://arxiv.org/pdf/2311.15786v2.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2311.15786/"&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>
