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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2307.07930/</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/2307.07930/feed.xml" rel="self" type="application/rss+xml" /><item><title>GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT — mentioned by mitjam</title><link>https://news.ycombinator.com/item?id=40863292</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.07930:40863292</guid><pubDate>Wed, 03 Jul 2024 06:27:07 GMT</pubDate><description>&lt;p&gt;Does anybody know if there are published papers explaining this? I found these two which might be related but not actually about the same thing: GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT (https://arxiv.org/abs/2307.07930): This does not involve fine-tuning but tool use and prompting for reasoning. BB-GeoGPT: A Framework for Learning a Large Language Model for Geographic Information Science (https://www.researchgate.net/publication/381630694_BB-GeoGPT...): This involves fine-tuning but of smaller models (Llama-2-7b) - the BB stands for &amp;quot;baby&amp;quot;.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.07930/"&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>
