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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Distributed Deep Learning Using Volunteer Computing-Like Paradigm · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2103.08894/</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/2103.08894/feed.xml" rel="self" type="application/rss+xml" /><item><title>Distributed Deep Learning Using Volunteer Computing-Like Paradigm — mentioned by mindcrime</title><link>https://news.ycombinator.com/item?id=34115845</link><guid isPermaLink="false">urn:hackerpapers:mention:2103.08894:34115845</guid><pubDate>Sat, 24 Dec 2022 11:14:36 GMT</pubDate><description>&lt;p&gt;There are a handful of &amp;quot;open source LLM&amp;quot; initiatives out there, although I don&amp;#x27;t think any of them are quite up to the level of ChatGPT. Possibly one of the more interesting ones is GLM-130B. https://github.com/THUDM/GLM-130B Released by some folks at Tsinghua University in China, back in August. The model itself is licensed under some janky &amp;quot;free to use, but not open source&amp;quot; license, but it looks like most of the code for training, evaluation, etc. is available and licensed under either the Apache License or a BSD-like license. You might also find this of interest…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2103.08894/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item></channel></rss>
