{"id":5,"date":"2024-10-15T01:35:21","date_gmt":"2024-10-15T01:35:21","guid":{"rendered":"http:\/\/local.mlcommons\/?page_id=5"},"modified":"2025-04-14T08:10:02","modified_gmt":"2025-04-14T16:10:02","slug":"home","status":"publish","type":"page","link":"https:\/\/mlcommons.org\/","title":{"rendered":"Home"},"content":{"rendered":"\n<section class=\"block-hero wp-block-acf-hero\" id=\"block-hero-block_d1c9f0f515126ba7403b213276328d9f\">\n  <div class=\"hero\" data-animate=\"fade\">\n    <div class=\"hero__inner wrapper\">\n      <div class=\"hero__content\" data-animate=\"fade\">\n        <div>\n          \n\n<h1 class=\"wp-block-heading has-x-large-font-size\">Better AI for Everyone<\/h1>\n\n\n\n<p class=\"has-large-font-size\">Building trusted, safe, and efficient AI requires better systems for measurement and accountability. MLCommons\u2019 collective engineering with industry and academia continually measures and improves the accuracy, safety, speed, and efficiency of AI technologies.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/mlcommons.org\/get-involved\/\">Get Involved<\/a><\/div>\n<\/div>\n\n        <\/div>\n      <\/div>\n    <\/div>\n\n        <figure class=\"hero__media\" data-animate=\"fade\">\n            <img decoding=\"async\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/hero-crop.png.webp\" alt=\"\" \/>\n          <\/figure>\n      <\/div>\n<\/section>\n\n\n\n<section style=\"padding-top:var(--wp--preset--spacing--4);padding-bottom:var(--wp--preset--spacing--4);margin-top:0;margin-bottom:0;\" class=\"block-logo-parade wp-block-acf-logoparade has-background has-light-background-color\" 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Swiper(\"#block-logo-parade-block_6178449eda43bc667d89bd8105747f35 .swiper\", {\n        \/\/slidesPerView: '3',\n        spaceBetween: 0,\n        slidesPerView: \"auto\",\n        speed: 5000,\n        freeMode: true,\n        loop: true,\n        keyboard: {\n          enabled: true,\n        },\n        autoplay: {\n          delay: 0,\n          disableOnInteraction: false,\n        }\n      });\n    }, 1000);\n\n  <\/script>\n  <\/section>\n\n\n\n<div id=\"by-the-numbers\" class=\"wp-block-group is-style-pattern-1 has-white-color has-dark-background-color has-text-color has-background has-link-color wp-elements-7ccca0692a780c6fbb03ec493c76d2aa is-layout-constrained wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--5);padding-bottom:var(--wp--preset--spacing--5)\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"block-max-width-wrapper\">\n  <div style=\"max-width: 416px; \">\n    \n\n<h3 class=\"wp-block-heading is-style-subheading\">By the numbers<\/h3>\n\n\n\n<h2 class=\"wp-block-heading\">Accelerating AI Innovation<\/h2>\n\n\n\n<p>At MLCommons, we democratize AI through open, state-of-the art industry-standard benchmarks and data tooling to measure quality, performance, and risk. <\/p>\n\n  <\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-container-core-column-is-layout-ea7e8adf wp-block-column-is-layout-flow\">\n<div class=\"wp-block-columns is-not-stacked-on-mobile is-layout-flex wp-container-core-columns-is-layout-28232c24 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n\n<p class=\"stat\">\n  <span class=\"stat__stat\" data-detect-viewport data-count=\"125\">125<\/span> <span>+<\/span><\/p>\n <span>MLCommons Members and Affiliates<\/span><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n\n<p class=\"stat\">\n  <span class=\"stat__stat\" data-detect-viewport data-count=\"10\">10<\/span><\/p>\n <span>Benchmark Suites<\/span><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-not-stacked-on-mobile is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n\n<p class=\"stat\">\n  <span class=\"stat__stat\" data-detect-viewport data-count=\"89.7\">89.7<\/span> <span>k +<\/span><\/p>\n <span>MLPerf Performance Results to-date<\/span><\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\">\n\n<p class=\"stat\">\n  <span class=\"stat__stat\" data-detect-viewport data-count=\"700\">700<\/span> <span>k<\/span><\/p>\n <span>Datasets using the Croissant metadata vocabulary<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div id=\"what-we-do\" class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\" style=\"margin-top:var(--wp--preset--spacing--4);margin-bottom:var(--wp--preset--spacing--4);padding-top:0;padding-bottom:0\">\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:0;margin-bottom:var(--wp--preset--spacing--2);padding-top:0;padding-bottom:0\">What We Do<\/h2>\n\n\n\n<div class=\"wp-block-columns is-style-large-gap-sm is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"533\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/laptop.png.webp\" alt=\"\" class=\"wp-image-544\" style=\"aspect-ratio:4\/3;object-fit:cover\" srcset=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/laptop.png.webp 800w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/laptop.png-300x200.webp 300w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/laptop.png-768x512.webp 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Performance Benchmarks<\/h4>\n\n\n\n<p>Benchmarks help balance the benefits and risks of AI through quantitative tools that guide responsible AI development. They provide neutral, consistent measurements of accuracy, speed, and efficiency which enable engineers to design reliable products and services, and help researchers gain new insights to drive the solutions of tomorrow.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-alt\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/mlcommons.org\/benchmarks\/\">Learn More<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"682\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/teamwork.jpg-1024x682.webp\" alt=\"\" class=\"wp-image-545\" style=\"aspect-ratio:4\/3;object-fit:cover\" srcset=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/teamwork.jpg-1024x682.webp 1024w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/teamwork.jpg-300x200.webp 300w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/teamwork.jpg-768x512.webp 768w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/teamwork.jpg-1536x1024.webp 1536w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/teamwork.jpg.webp 2000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">AI Risk &amp; Reliability<\/h4>\n\n\n\n<p>The MLCommons AI Risk &amp; Reliability working group is composed of a global consortium of AI industry leaders, practitioners, researchers, and civil society experts committed to building a harmonized approach for safer AI.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-alt\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/mlcommons.org\/ai-risk-reliability\/\">Learn More<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"684\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/data-research.jpg-1024x684.webp\" alt=\"\" class=\"wp-image-543\" style=\"aspect-ratio:4\/3;object-fit:cover\" srcset=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/data-research.jpg-1024x684.webp 1024w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/data-research.jpg-300x200.webp 300w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/data-research.jpg-768x513.webp 768w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/data-research.jpg-1536x1025.webp 1536w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/data-research.jpg.webp 2000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Data &amp; Research<\/h4>\n\n\n\n<p>Evaluating and delivering more reliable AI systems depends on rigorous, standardized test datasets, and data standards. MLCommons builds open, large-scale, diverse datasets, and a rich ecosystem of techniques and tools for AI data. Our work includes Croissant, today&#8217;s metadata standard that makes ML work easier to reproduce and replicate. <\/p>\n\n\n\n<p>Our shared research infrastructure and diverse community aid the scientific research community to derive new insights for new breakthroughs in AI.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-alt\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/mlcommons.org\/datasets\/\">Learn More<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div id=\"community\" class=\"wp-block-group is-style-pattern-squares has-light-background-color has-background is-layout-constrained wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--5);padding-bottom:var(--wp--preset--spacing--5)\">\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile\"><div class=\"wp-block-media-text__content\">\n<h5 class=\"wp-block-heading is-style-subheading\">Community<\/h5>\n\n\n\n<h2 class=\"wp-block-heading\">Community-driven and funded<\/h2>\n\n\n\n<p>We\u2019re a collective of data nerds, AI experts, and enthusiasts who are passionate about accelerating AI. While data, modeling and all that good stuff is critical, it\u2019s the people behind it all that are the bedrock of MLCommons.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/mlcommons.org\/get-involved\/\">Get Involved<\/a><\/div>\n<\/div>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"790\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/mlcommons-community.jpg-1024x790.webp\" alt=\"\" class=\"wp-image-563 size-full\" srcset=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/mlcommons-community.jpg-1024x790.webp 1024w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/mlcommons-community.jpg-300x231.webp 300w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/mlcommons-community.jpg-768x593.webp 768w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/mlcommons-community.jpg-1536x1185.webp 1536w, https:\/\/mlcommons.org\/wp-content\/uploads\/2024\/10\/mlcommons-community.jpg.webp 2000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n<\/div>\n\n\n<!-- posts -->\n\n<section class=\"block-latest-insights wp-block-acf-latestinsights\">\n  <div class=\"wrapper\" data-animate=\"up\">\n    <div class=\"mb-6\">\n      \n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-full\"\/>\n\n\n\n<h3 class=\"wp-block-heading is-style-subheading\">Latest Insights<\/h3>\n\n    <\/div>\n\n    <div class=\"latest-insights-list\">\n              <article class=\"insight-preview\">\n  <figure>\n    <a href=\"https:\/\/mlcommons.org\/2026\/04\/airr-map\/\">\n      <img decoding=\"async\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2026\/04\/relmapclad.svg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"\" \/>    <\/a>\n  <\/figure>\n  <div>\n    <h3>\n      <a href=\"https:\/\/mlcommons.org\/2026\/04\/airr-map\/\">\n        AI Reliability Map: Rules and Circumstances\u00a0      <\/a>\n    <\/h3>\n    <div class=\"insight-preview__meta\">\n              <span class=\"insight-preview__cat\">News<\/span>\n        <span class=\"dot\"><\/span>\n            <span class=\"insight-preview__date\">April 22, 2026<\/span>\n    <\/div>\n  <\/div>\n<\/article>              <article class=\"insight-preview\">\n  <figure>\n    <a href=\"https:\/\/mlcommons.org\/2026\/04\/continuous-prompt-stewardship\/\">\n      <img decoding=\"async\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2026\/04\/freshreliableairr.svg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"\" \/>    <\/a>\n  <\/figure>\n  <div>\n    <h3>\n      <a href=\"https:\/\/mlcommons.org\/2026\/04\/continuous-prompt-stewardship\/\">\n        Fresh Benchmarks, Reliable Scores: Introducing Continuous Prompt Stewardship for AI Risk Evaluation      <\/a>\n    <\/h3>\n    <div class=\"insight-preview__meta\">\n              <span class=\"insight-preview__cat\">News<\/span>\n        <span class=\"dot\"><\/span>\n            <span class=\"insight-preview__date\">April 20, 2026<\/span>\n    <\/div>\n  <\/div>\n<\/article>              <article class=\"insight-preview\">\n  <figure>\n    <a href=\"https:\/\/mlcommons.org\/2026\/04\/mlperf-client-v1-6\/\">\n      <img decoding=\"async\" src=\"https:\/\/mlcommons.org\/wp-content\/uploads\/2026\/04\/client16blog.svg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"\" \/>    <\/a>\n  <\/figure>\n  <div>\n    <h3>\n      <a href=\"https:\/\/mlcommons.org\/2026\/04\/mlperf-client-v1-6\/\">\n        MLCommons Releases MLPerf Client v1.6 with Performance Optimizations and Enhanced User Experience      <\/a>\n    <\/h3>\n    <div class=\"insight-preview__meta\">\n              <span class=\"insight-preview__cat\">News<\/span>\n        <span 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<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>What We Do Performance Benchmarks Benchmarks help balance the benefits and risks of AI through quantitative tools that guide responsible AI development. They provide neutral, consistent measurements of accuracy, speed, and efficiency which enable engineers to design reliable products and services, and help researchers gain new insights to drive the solutions of tomorrow.&nbsp; AI Risk &amp; Reliability The MLCommons AI Risk &amp; Reliability working group is composed of a global consortium of AI industry leaders, practitioners, researchers, and civil society experts committed to building a harmonized approach for safer AI. Data &amp; Research Evaluating and delivering more reliable AI systems depends on rigorous, standardized test datasets, and data standards. MLCommons builds open, large-scale, diverse datasets, and a rich ecosystem of techniques and tools for AI data. Our work includes Croissant, today&#8217;s metadata standard that makes ML work easier to reproduce and replicate. Our shared research infrastructure and diverse community aid the scientific research community to derive new insights for new breakthroughs in AI. Community Community-driven and funded We\u2019re a collective of data nerds, AI experts, and enthusiasts who are passionate about accelerating AI. While data, modeling and all that good stuff is critical, it\u2019s the people behind it all that are the bedrock of MLCommons.<\/p>\n","protected":false},"author":7,"featured_media":507,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MLCommons - Better AI for Everyone<\/title>\n<meta name=\"description\" content=\"MLCommons aims to accelerate AI innovation to benefit everyone. 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