{"id":218714,"date":"2026-05-22T11:52:00","date_gmt":"2026-05-22T15:52:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/22\/how-slimmed-down-large-language-models-can-reduce-ais-environmental-and-energy-footprint\/"},"modified":"2026-05-22T12:00:11","modified_gmt":"2026-05-22T16:00:11","slug":"how-slimmed-down-large-language-models-can-reduce-ais-environmental-and-energy-footprint","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/22\/how-slimmed-down-large-language-models-can-reduce-ais-environmental-and-energy-footprint\/","title":{"rendered":"How \u2018slimmed-down\u2019 large language models can reduce AI\u2019s environmental and energy footprint"},"content":{"rendered":"<p><a href=\"https:\/\/news.engineering.utoronto.ca\/how-slimmed-down-large-language-models-can-reduce-ais-environmental-and-energy-footprint\/\">How \u2018slimmed-down\u2019 large language models can reduce AI\u2019s environmental and energy footprint<\/a><\/p>\n<p><a href=\"https:\/\/news.engineering.utoronto.ca\/how-slimmed-down-large-language-models-can-reduce-ais-environmental-and-energy-footprint\/\">https:\/\/news.engineering.utoronto.ca\/how-slimmed-down-large-language-models-can-reduce-ais-environmental-and-energy-footprint\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-22 11:52:00<\/a><\/p>\n<p>Source Domain: <a href=\"news.engineering.utoronto.ca\">news.engineering.utoronto.ca<\/a><\/p>\n<ul>\n<li>New research led by Professor Samin Aref (MIE) proposes better methods to reduce the environmental and energy impact of generative artificial intelligence systems like Large Language Models (LLM).<\/li>\n<li>The research highlights the effectiveness of quantization, a technique that compresses LLMs by reducing the precision of their parameters, thus using less energy while maintaining almost intact performance.<\/li>\n<li>Two conference papers, one winning the best paper award, detail these findings and explore compression methods through partial retraining and distribution alignment training.<\/li>\n<li>Partial retraining compresses LLMs from 16-bit precisions to 3-bit and 2-bit precisions while minimizing performance loss using a specialized regularization term.<\/li>\n<li>The use of distribution alignment training improves the recovery of losses in quantized language models by up to 20.37%, achieving better trade-offs between compression and accuracy.<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How \u2018slimmed-down\u2019 large language models can reduce AI\u2019s environmental and energy footprint https:\/\/news.engineering.utoronto.ca\/how-slimmed-down-large-language-models-can-reduce-ais-environmental-and-energy-footprint\/ Publish Date:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":218715,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/news.engineering.utoronto.ca\/wp-content\/uploads\/sites\/18\/2026\/05\/Samin-Aref-Article-Image.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20,17],"class_list":["post-218714","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-intelligence","tag-llm"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/218714"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=218714"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/218714\/revisions"}],"predecessor-version":[{"id":218716,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/218714\/revisions\/218716"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/218715"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=218714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=218714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=218714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}