<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2203.13474/</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/2203.13474/feed.xml" rel="self" type="application/rss+xml" /><item><title>CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis — mentioned by jncraton</title><link>https://news.ycombinator.com/item?id=35265896</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.13474:35265896</guid><pubDate>Wed, 22 Mar 2023 19:21:00 GMT</pubDate><description>&lt;p&gt;What is wrong with the CodeGen model that they are using? It is a reasonably large model (up to 16B params) that has already been trained on both natural language and code. I would expect it to underperform larger models, including GPT-3.5 and GPT-4, but this should still be very useful for autocomplete and boilerplate in simpler cases. It is a bit under trained compared to Chinchilla, T5, or LLaMA, but it still performs well. According to the paper[1], this model is competitive with the largest Codex model that was the basis for Copilot originally. [1] https://arxiv.org/pdf/2203.13474.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.13474/"&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>CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis — HN submission</title><link>https://news.ycombinator.com/item?id=35115803</link><guid isPermaLink="false">urn:hackerpapers:submission:2203.13474:35115803</guid><pubDate>Sun, 12 Mar 2023 02:33:36 GMT</pubDate><description>&lt;p&gt;CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis&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/2203.13474/"&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>CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis — mentioned by jorams</title><link>https://news.ycombinator.com/item?id=32328168</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.13474:32328168</guid><pubDate>Wed, 03 Aug 2022 06:06:23 GMT</pubDate><description>&lt;p&gt;From the paper[1]: &amp;gt; The family of CODEGEN models is trained sequentially on three datasets: THEPILE, BIGQUERY, and BIGPYTHON. &amp;gt; The natural language dataset THEPILE is an 825.18 GiB English text corpus collected by Gao et al. (2020) for language modeling. The dataset is constructed from 22 diverse high-quality subsets, one of which is programming language data collected from GitHub repositories with &amp;gt;100 stars that constitute 7.6% of the dataset. &amp;gt; The multi-lingual dataset BIGQUERY is a subset of Google’s publicly available BigQuery dataset, which consists of code in multiple programming…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.13474/"&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>CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis — HN submission</title><link>https://news.ycombinator.com/item?id=30825747</link><guid isPermaLink="false">urn:hackerpapers:submission:2203.13474:30825747</guid><pubDate>Mon, 28 Mar 2022 00:47:27 GMT</pubDate><description>&lt;p&gt;A Conversational Paradigm for Program Synthesis&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/2203.13474/"&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>
