{"id":23309,"date":"2026-07-14T14:08:59","date_gmt":"2026-07-14T11:08:59","guid":{"rendered":"https:\/\/grnet.gr\/?p=23309"},"modified":"2026-07-29T16:50:22","modified_gmt":"2026-07-29T13:50:22","slug":"pharos-ai-factory-training-series-course-12-compute-efficient-methods-for-large-language-models-on-july-17th-2026","status":"publish","type":"post","link":"https:\/\/grnet.gr\/en\/2026\/07\/14\/pharos-ai-factory-training-series-course-12-compute-efficient-methods-for-large-language-models-on-july-17th-2026\/","title":{"rendered":"PHAROS AI Factory Training Series &#8211; Course 12 &#8220;Compute-Efficient Methods for Large Language Models&#8221;, on July 17th, 2026"},"content":{"rendered":"\r\n<p class=\"wp-block-paragraph\"><b>PHAROS AI Factory <\/b>announced the <b>12th Course <\/b>of its Training Series, under the title \u201c<b>Compute-Efficient Methods for Large Language Models<\/b>\u201c, under the<b>topic LLMs, <\/b>organised <b>in collaboration with Pharos-CY<\/b>, which was held online via Zoom on July 17th, 2026.\u00a0<\/p>\r\n<p><b>Presentation language<\/b>: English<\/p>\r\n<p><b>Audience<\/b>: Data Scientists, ML Engineers, AI Engineers, Academic Researchers<\/p>\r\n<p><b>Learning Objectives<\/b>:<\/p>\r\n<p>By the end of the course, participants were be able to:<\/p>\r\n<ul type=\"disc\">\r\n<li>Identify key efficiency methods for training, fine-tuning, and inference.<\/li>\r\n<li>Describe how LoRA enables parameter-efficient fine-tuning of LLMs.<\/li>\r\n<li>Apply a basic Hugging Face workflow for dataset preparation, training, evaluation, and inference.<\/li>\r\n<li>Compare trade-offs between model performance, cost, memory use, and deployment efficiency.<\/li>\r\n<\/ul>\r\n<p>Presentation Material of the Course can be found <a href=\"https:\/\/events.grnet.gr\/event\/216\/timetable\/\">here<\/a>.<\/p>\r\n<p>Watch the Course\u2019s recordings in the dedicated playlist <a href=\"https:\/\/www.youtube.com\/playlist?list=PLAZA1okUrKH4\">here<\/a>.<\/p>\r\n","protected":false},"excerpt":{"rendered":"<p>PHAROS AI Factory announced the 12th Course of its Training Series, under the title \u201cCompute-Efficient Methods for Large Language Models\u201c, under thetopic LLMs, organised in collaboration with Pharos-CY, which was held online via Zoom on July 17th, 2026.\u00a0 Presentation language: English Audience: Data Scientists, ML Engineers, AI Engineers, Academic Researchers Learning Objectives: By the end [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":23308,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[294,355,490],"tags":[],"class_list":["post-23309","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-en","category-news-en","category-news_en-en"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/comments?post=23309"}],"version-history":[{"count":2,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23309\/revisions"}],"predecessor-version":[{"id":23429,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23309\/revisions\/23429"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media\/23308"}],"wp:attachment":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media?parent=23309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/categories?post=23309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/tags?post=23309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}