{"id":16897,"date":"2026-03-27T15:58:26","date_gmt":"2026-03-27T15:58:26","guid":{"rendered":"https:\/\/hlrnet.com\/sites\/ai\/?p=16897"},"modified":"2026-03-27T15:58:26","modified_gmt":"2026-03-27T15:58:26","slug":"language-weaver-pro-el-modelo-de-traduccion-de-100-000-millones-de-parametros-que-dice-superar-a-deepl-y-gemini-en-31-de-32-idiomas","status":"publish","type":"post","link":"https:\/\/hlrnet.com\/sites\/ai\/?p=16897","title":{"rendered":"Language Weaver Pro: el modelo de traducci\u00f3n de 100.000 millones de par\u00e1metros que dice superar a DeepL y Gemini en 31 de 32 idiomas"},"content":{"rendered":"<p>Language Weaver Pro: el modelo de traducci\u00f3n de 100.000 millones de par\u00e1metros que dice superar a DeepL y Gemini en 31 de 32 idiomas<br \/>\n<a href=\"https:\/\/wwwhatsnew.com\/2026\/03\/27\/language-weaver-pro-rws-cohere-traduccion-ia-empresarial\/\" class=\"autohyperlink\">wwwhatsnew.com\/2026\/03\/27\/language-weaver-pro-rws-cohere-traduccion-ia-empresarial\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Language Weaver Pro: el modelo de traducci\u00f3n de 100.000 millones de par\u00e1metros que dice superar a DeepL y Gemini en 31 de 32 idiomas <a href=\"http:\/\/wwwhatsnew.com\/2026\/03\/27\/language-weaver-pro-rws-cohere-traduccion-ia-empresarial\/\" class=\"autohyperlink\">wwwhatsnew.com\/2026\/03\/27\/language-weaver-pro-rws-cohere-traduccion-ia-empresarial\/<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":3,"footnotes":"","_wp_rev_ctl_limit":""},"categories":[6,14],"tags":[448,209,801,68],"class_list":["post-16897","post","type-post","status-publish","format-standard","hentry","category-es","category-transformar-texto","tag-deepl","tag-gemini","tag-language-weaver","tag-translation"],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=\/wp\/v2\/posts\/16897","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16897"}],"version-history":[{"count":0,"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=\/wp\/v2\/posts\/16897\/revisions"}],"wp:attachment":[{"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16897"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16897"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16897"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}