{"id":11459,"date":"2024-05-28T09:32:59","date_gmt":"2024-05-28T01:32:59","guid":{"rendered":"https:\/\/www.1ai.net\/?p=11459"},"modified":"2024-05-28T09:32:59","modified_gmt":"2024-05-28T01:32:59","slug":"%e7%a0%94%e7%a9%b6%e7%a7%b0gpt-4-%e9%80%89%e8%82%a1%e5%87%86%e7%a1%ae%e7%8e%87%e9%ab%98%e8%be%be-60%ef%bc%8c%e8%a2%ab%e8%b4%a8%e7%96%91%e6%95%b0%e6%8d%ae%e6%b1%a1%e6%9f%93","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/11459.html","title":{"rendered":"Research claims GPT-4 stock selection accuracy is as high as 60%, but data pollution is suspected"},"content":{"rendered":"<p>Recently, a Chicago University paper sparked heated discussions in the industry. The study found that <a href=\"https:\/\/www.1ai.net\/en\/tag\/gpt-4\" title=\"[SEE ARTICLES WITH [GPT-4] LABELS]\" target=\"_blank\" >GPT-4<\/a>The accuracy rate in stock selection is as high as 60%, surpassing most humans<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%82%a1%e7%a5%a8%e5%88%86%e6%9e%90%e5%b8%88\" title=\"[Sees articles with labels]\" target=\"_blank\" >Stock Analyst<\/a>and professional models. This discovery has led people to question whether humans<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%82%a1%e7%a5%a8\" title=\"[Sees articles with [stock] labels]\" target=\"_blank\" >stock<\/a>Will analysts face the risk of being laid off? However, some AI experts have questioned this study, pointing out that there may be problems with training data contamination, which affects the accuracy of the results.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-11460\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/05\/6385241594443174832608936.png\" alt=\"\" width=\"652\" height=\"629\" \/><\/p>\n<p>The researchers analyzed financial statements and asked GPT-4 to predict future earnings changes. Surprisingly, GPT-4 successfully analyzed the numbers in the financial statements without any narrative context and achieved shockingly good performance. However, some AI experts have suggested that the training data may be contaminated, that is, GPT-4 may have included future stock prices in the training data, which may affect the accuracy of the results.<\/p>\n<p>The researchers also analyzed the narrative insights model generated by GPT-4 and found that this may be one of the reasons for the success of GPT-4. By encoding and analyzing the narrative insights generated by the model, the researchers found that this information is informative for predicting future returns. This discovery gives people a new understanding of the excellent performance of GPT-4.<\/p>\n<p>Although GPT-4 outperformed human stock analysts and professional models in stock selection, researchers pointed out that there may be problems with training data contamination, which affected the accuracy of the results. For the success of GPT-4, more in-depth research and verification may be needed to ensure its reliability and accuracy in the field of stock selection.<\/p>","protected":false},"excerpt":{"rendered":"<p>Recently, a Chicagoland paper sparked a lot of buzz in the industry, finding that the GPT-4 outperforms most human stock analysts and professional models in stock picking with an accuracy rate of 60%. This finding has led people to wonder if human stock analysts are at risk of being laid off. However, some AI gurus have questioned the study, pointing to possible contamination of the training data that affected the accuracy of the results. The researchers analyzed financial statements to allow GPT-4 to make predictions about changes in future earnings. Unexpectedly, GPT-4 successfully analyzed the numbers in the financial statements without any narrative context and achieved a shockingly excellent performance. However, an AI guru raised the possibility that there could be contamination of the training data, i.e., GPT<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[510,768,2800],"collection":[],"class_list":["post-11459","post","type-post","status-publish","format-standard","hentry","category-news","tag-gpt-4","tag-768","tag-2800"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11459","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=11459"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11459\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=11459"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=11459"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=11459"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=11459"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}