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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.12664/</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/2310.12664/feed.xml" rel="self" type="application/rss+xml" /><item><title>Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing — mentioned by gillesjacobs</title><link>https://news.ycombinator.com/item?id=39686244</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.12664:39686244</guid><pubDate>Tue, 12 Mar 2024 23:39:07 GMT</pubDate><description>&lt;p&gt;Of course BERT is an LM, I never claimed it wasn&amp;#x27;t. It is just much smaller than what is now termed &amp;quot;LLM&amp;quot; which is typically an extremely large generative decoder-only transformer for general multi-language (often instruction and chat tuned). I was training and finetuned dozens of LMs back when BERT-large was considered a GPU memory issue and I have finetuned hundreds LMs over my NLP research and engineering career. I have even implemented Hidden Markov Model LMs from scratch (as an exercise mostly, performance was mostly bad even in 2015). When I used &amp;quot;specific task&amp;quot;, I meant specialized…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.12664/"&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>
