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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Language Agents as Optimizable Graphs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2402.16823/</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/2402.16823/feed.xml" rel="self" type="application/rss+xml" /><item><title>Language Agents as Optimizable Graphs — mentioned by ValentinA23</title><link>https://news.ycombinator.com/item?id=41819680</link><guid isPermaLink="false">urn:hackerpapers:mention:2402.16823:41819680</guid><pubDate>Sat, 12 Oct 2024 15:11:44 GMT</pubDate><description>&lt;p&gt;&amp;gt;People really don&amp;#x27;t understand how much better LLM swarms get with more agents. I never hit a point of diminishing returns on text quality Could you elaborate please ? One use for swarms is to use multiple agents/prompts in place of one single agent with one long prompt in order to increase performance by splitting one big task into many. It is very time consuming though, as it requires experimenting to determine how best to divide one task into subtasks, including writing code to parse and sanitize each task output and plug it back into the rest of the agent graph. Dspy [1] seems to target…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2402.16823/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
