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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Optimizing Large Language Models for OpenAPI Code Completion · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2405.15729/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2405.15729/feed.xml" rel="self" type="application/rss+xml" /><item><title>Optimizing Large Language Models for OpenAPI Code Completion — HN submission</title><link>https://news.ycombinator.com/item?id=40715285</link><guid isPermaLink="false">urn:hackerpapers:submission:2405.15729:40715285</guid><pubDate>Tue, 18 Jun 2024 08:15:46 GMT</pubDate><description>&lt;p&gt;Show HN: I reproduced Code Llama fill-in-the-middle code completion training&lt;/p&gt;&lt;p&gt;As part of my master&amp;#x27;s thesis on optimizing LLMs for code completion in OpenAPI format, I implemented a script for fine-tuning Code Llama for Copilot-style code completion. Surprisingly, I was not able to find a similar implementation before since most works focus on instruction fine-tuning for chat-like interaction. Related publication: https://arxiv.org/abs/2405.15729 Code Llama fill-in-the-middle fine-tuning: https://github.com/BohdanPetryshyn/code-llama-fim-fine-tunin... OpenAPI completion benchmark: https://github.com/BohdanPetryshyn/openapi-completion-benchm...&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2405.15729/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
