{"id":5275,"date":"2025-07-14T07:02:23","date_gmt":"2025-07-14T07:02:23","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/07\/14\/toto_a_foundation_timeseries_model_optimized_for\/"},"modified":"2025-07-14T07:02:23","modified_gmt":"2025-07-14T07:02:23","slug":"toto_a_foundation_timeseries_model_optimized_for","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/07\/14\/toto_a_foundation_timeseries_model_optimized_for\/","title":{"rendered":"Toto: A Foundation Time-Series Model Optimized for Observability Data"},"content":{"rendered":"<p>    Toto: A Foundation Time-Series Model Optimized for Observability Data<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Datadog open-sourced <em>Toto<\/em> (Time Series Optimized Transformer for Observability), a model purpose-built for observability data.<\/p>\n<p>Toto is currently the most extensively pretrained time-series foundation model: The pretraining corpus contains 2.36 trillion tokens, with ~70% coming from Datadog\u2019s private telemetry dataset.<\/p>\n<p>Also, Toto currently ranks 2nd in the GIFT-Eval Benchmark.<\/p>\n<p>You can find an analysis of the model <a href=\"https:\/\/aihorizonforecast.substack.com\/p\/toto-a-foundation-time-series-model\">here<\/a>.<\/p>\n<\/p><\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/nkafr\"> \/u\/nkafr <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1lyo2ac\/toto_a_foundation_timeseries_model_optimized_for\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1lyo2ac\/toto_a_foundation_timeseries_model_optimized_for\/\">[comments]<\/a><\/span>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    \/u\/nkafr<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1lyo2ac\/toto_a_foundation_timeseries_model_optimized_for\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Toto: A Foundation Time-Series Model Optimized for Observability Data Datadog open-sourced Toto (Time Series Optimized Transformer for Observability), a model purpose-built for observability data. Toto is currently the most extensively pretrained time-series foundation model: The pretraining corpus contains 2.36 trillion tokens, with ~70% coming from Datadog\u2019s private telemetry dataset. Also, Toto currently ranks 2nd in [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,99],"tags":[103,15,3204],"class_list":["post-5275","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-datascience","tag-model","tag-time","tag-toto"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5275"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=5275"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/5275\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=5275"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=5275"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=5275"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}