{"id":39709,"date":"2025-12-10T17:38:32","date_gmt":"2025-12-10T16:38:32","guid":{"rendered":"https:\/\/kinit.sk\/?post_type=mentor&#038;p=39709"},"modified":"2025-12-10T17:41:11","modified_gmt":"2025-12-10T16:41:11","slug":"kristina-okasova","status":"publish","type":"mentor","link":"https:\/\/kinit.sk\/sk\/mentor\/kristina-okasova\/","title":{"rendered":"Krist\u00edna Okasov\u00e1"},"content":{"rendered":"<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Supervising Team:<\/strong>&nbsp;<a href=\"https:\/\/kinit.sk\/member\/michal-gregor\/\">Michal Gregor<\/a> (KInIT)<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Krist\u00edna&#8217;s research explores certain core limitations of large language models (LLMs) \u2013 such as weaknesses in reasoning abilities, execution, long-context capabilities&nbsp;and memory, or data-efficient learning.&nbsp;Even though LLMs now possess broad capabilities and acquire extensive general knowledge during pretraining, they still struggle in these and other areas. Krist\u00edna&#8217;s work focuses on understanding these limitations and on developing training strategies, architectures, evaluation methods, and other mechanisms to mitigate them, hoping to ultimately help make LLMs \u2013 including their smaller, more efficient variants \u2013&nbsp;more capable, reliable, and data-efficient.<\/p>\n<\/div>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-39709","mentor","type-mentor","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Krist\u00edna Okasov\u00e1 - KInIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/mentor\/kristina-okasova\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Krist\u00edna Okasov\u00e1 - KInIT\" \/>\n<meta property=\"og:description\" content=\"Supervising Team:&nbsp;Michal Gregor (KInIT) Krist\u00edna&#8217;s research explores certain core limitations of large language models (LLMs) \u2013 such as weaknesses in reasoning abilities, execution, long-context capabilities&nbsp;and memory, or data-efficient learning.&nbsp;Even though...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/kinit.sk\/sk\/mentor\/kristina-okasova\/\" \/>\n<meta property=\"og:site_name\" content=\"KInIT\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-10T16:41:11+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/kinit.sk\/wp-content\/uploads\/2021\/03\/KINIT_Sharepic.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@kinit\" \/>\n<meta name=\"twitter:label1\" content=\"Predpokladan\u00fd \u010das \u010d\u00edtania\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 min\u00fata\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/mentor\\\/kristina-okasova\\\/\",\"url\":\"https:\\\/\\\/kinit.sk\\\/sk\\\/mentor\\\/kristina-okasova\\\/\",\"name\":\"Krist\u00edna Okasov\u00e1 - 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