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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2111.02114/</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/2111.02114/feed.xml" rel="self" type="application/rss+xml" /><item><title>LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs — mentioned by w1nk</title><link>https://news.ycombinator.com/item?id=31495677</link><guid isPermaLink="false">urn:hackerpapers:mention:2111.02114:31495677</guid><pubDate>Tue, 24 May 2022 18:20:15 GMT</pubDate><description>&lt;p&gt;You&amp;#x27;re not wrong that the dataset and compute are important, and if you browse the author&amp;#x27;s previous work, you&amp;#x27;ll see there are datasets available. The reproduction of DALL-E 2 required a dataset of similar size to the one imagen was trained on (see: https://arxiv.org/abs/2111.02114). The harder part here will be getting access to the compute required, but again, the folks involved in this project have access to lots of resources (they&amp;#x27;ve already trained models of this size). We&amp;#x27;ll likely see some trained checkpoints as soon as they&amp;#x27;re done converging.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2111.02114/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
