{"id":8589,"date":"2025-11-24T07:03:20","date_gmt":"2025-11-24T07:03:20","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/24\/your-next-large-language-model-might-not-be-large-afterall-2\/"},"modified":"2025-11-24T07:03:20","modified_gmt":"2025-11-24T07:03:20","slug":"your-next-large-language-model-might-not-be-large-afterall-2","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/24\/your-next-large-language-model-might-not-be-large-afterall-2\/","title":{"rendered":"Your Next \u2018Large\u2019 Language Model Might Not Be Large After All"},"content":{"rendered":"<p>    Your Next \u2018Large\u2019 Language Model Might Not Be Large After All<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>A 27M-parameter model just outperformed giants like DeepSeek R1, o3-mini, and Claude 3.7 on reasoning tasks<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/your-next-large-language-model-might-not-be-large-afterall-2\/\">Your Next \u2018Large\u2019 Language Model Might Not Be Large After All<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Moulik Gupta<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/your-next-large-language-model-might-not-be-large-afterall-2\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Your Next \u2018Large\u2019 Language Model Might Not Be Large After All A 27M-parameter model just outperformed giants like DeepSeek R1, o3-mini, and Claude 3.7 on reasoning tasks The post Your Next \u2018Large\u2019 Language Model Might Not Be Large After All appeared first on Towards Data Science. Moulik Gupta Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,69,67,88,4274,87,1399],"tags":[515,103,163],"class_list":["post-8589","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-artificial-intelligence","category-deep-dives","category-deep-learning","category-hrm","category-llm","category-reasoning","tag-large","tag-model","tag-your"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8589"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=8589"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8589\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8589"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8589"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}