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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Archon: An Architecture Search Framework for Inference-Time Techniques · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.15254/</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/2409.15254/feed.xml" rel="self" type="application/rss+xml" /><item><title>Archon: An Architecture Search Framework for Inference-Time Techniques — mentioned by m_ke</title><link>https://news.ycombinator.com/item?id=42431918</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.15254:42431918</guid><pubDate>Mon, 16 Dec 2024 15:27:28 GMT</pubDate><description>&lt;p&gt;Sorry I wasn&amp;#x27;t clear enough, the cheap to validate part is only needed to train a large base model that can handle writing individual functions / fix bugs. Planning a whole project, breaking it down into steps and executing each one is not something that current LLMs struggle at. Here&amp;#x27;s a recipe for a human level LLM software engineer: 1. Pretrain an LLM on as much code and text as you can (done already) 2. Fine tune it on synthetic code specific tasks like: (a) given a function, hide the body, make the model implement it and validate that it&amp;#x27;s functionally equivalent to the target function…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.15254/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
