{"id":2971,"date":"2026-06-01T02:46:54","date_gmt":"2026-06-01T02:46:54","guid":{"rendered":"https:\/\/linguistics.imagodeus.com\/?p=2971"},"modified":"2026-06-01T02:46:55","modified_gmt":"2026-06-01T02:46:55","slug":"training-azerbaijani-language-models-on-amazon-sagemaker-ai","status":"publish","type":"post","link":"https:\/\/linguistics.imagodeus.com\/?p=2971","title":{"rendered":"Training Azerbaijani language models on Amazon SageMaker AI"},"content":{"rendered":"<div class=\"vlp-link-container vlp-layout-lnk-sptlght block-editor-block-list__block wp-block wp-block-visual-link-preview-link\"><a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/training-azerbaijani-language-models-on-amazon-sagemaker-ai\/\" class=\"vlp-link\" title=\"Training Azerbaijani language models on Amazon SageMaker AI | Amazon Web Services\" rel=\"nofollow\" target=\"_blank\"><\/a><div class=\"vlp-layout-zone-side\"><div class=\"vlp-block-3 vlp-link-image\"><img decoding=\"async\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2026\/05\/28\/20305.png\" style=\"max-width: 1024px; max-height: 1024px\" \/><\/div><\/div><div class=\"vlp-layout-zone-main\"><div class=\"vlp-block-0 vlp-link-url\">aws.amazon.com<\/div><div class=\"vlp-block-1 vlp-link-title\">Training Azerbaijani language models on Amazon SageMaker AI | Amazon Web Services<\/div><div class=\"vlp-block-2 vlp-link-summary\">Azercell Telecom LLC, Azerbaijan&#8217;s leading telecommunications provider, wanted to build an Azerbaijani large language model (LLM) on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot. The challenge: adapting foundation models (FMs) to a morphologically rich language with limited training data and no existing blueprint for efficient LLM training in Azerbaijani. In a six-week collaboration, Azercell worked with the AWS Generative AI Innovation Center to establish a production-ready framework on Amazon SageMaker AI.<\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[20],"class_list":["post-2971","post","type-post","status-publish","format-standard","hentry","category-ciber","tag-english"],"_links":{"self":[{"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=\/wp\/v2\/posts\/2971","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2971"}],"version-history":[{"count":1,"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=\/wp\/v2\/posts\/2971\/revisions"}],"predecessor-version":[{"id":2972,"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=\/wp\/v2\/posts\/2971\/revisions\/2972"}],"wp:attachment":[{"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2971"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2971"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/linguistics.imagodeus.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2971"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}