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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evaluating the Text-to-SQL Capabilities of Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2204.00498/</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/2204.00498/feed.xml" rel="self" type="application/rss+xml" /><item><title>Evaluating the Text-to-SQL Capabilities of Large Language Models — mentioned by peaslock</title><link>https://news.ycombinator.com/item?id=34041831</link><guid isPermaLink="false">urn:hackerpapers:mention:2204.00498:34041831</guid><pubDate>Sun, 18 Dec 2022 19:29:18 GMT</pubDate><description>&lt;p&gt;The model with the most similar name in this list is code-cushman-001 which is described as &amp;quot;Codex model that is a stronger, multilingual version of the Codex (12B) model in the paper&amp;quot;. https://crfm-models.stanford.edu/static/help.html The next stronger Codex model is called code-davinci-001 which appears to be a fine-tuned version of the GPT-3 Davinci model which is known to have 175B parameters. The model naming is alphabetical in the order of the model size: https://blog.eleuther.ai/gpt3-model-sizes/ See also A.2 here: https://arxiv.org/pdf/2204.00498.pdf#page=6&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2204.00498/"&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>
