{"id":1000017761,"date":"2025-04-14T14:52:05","date_gmt":"2025-04-14T12:52:05","guid":{"rendered":"https:\/\/forum-engagement.org\/2024\/?p=1000017761"},"modified":"2025-04-14T14:52:05","modified_gmt":"2025-04-14T12:52:05","slug":"salesforce-joins-technology-and-academic-leaders-to-unveil-ai-energy-score-measuring-ai-model-efficiency","status":"publish","type":"post","link":"https:\/\/forum-engagement.org\/2024\/salesforce-joins-technology-and-academic-leaders-to-unveil-ai-energy-score-measuring-ai-model-efficiency\/","title":{"rendered":"Salesforce Joins Technology and Academic Leaders to Unveil AI Energy Score Measuring AI Model Efficiency"},"content":{"rendered":"\n<p><em>AI Energy Score establishes a clear and trusted benchmark for the energy efficiency of AI models<\/em><\/p>\n\n\n\n<p><em>As part of the initiative, public ratings for 166 commonly-used AI models are being released to help developers and AI users identify models that use less energy<\/em><\/p>\n\n\n\n<p>Salesforce, in collaboration with&nbsp;<a href=\"https:\/\/huggingface.co\/\" target=\"_blank\" rel=\"noreferrer noopener\">Hugging Face<\/a>,&nbsp;<a href=\"https:\/\/cohere.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cohere<\/a>, and&nbsp;<a href=\"https:\/\/www.cmu.edu\/\" target=\"_blank\" rel=\"noreferrer noopener\">Carnegie Mellon University<\/a>, today announced the release of the&nbsp;<a href=\"https:\/\/huggingface.co\/spaces\/AIEnergyScore\/Leaderboard\" target=\"_blank\" rel=\"noreferrer noopener\">AI Energy Score<\/a>, a first-of-its-kind benchmarking tool that enables AI developers and users to evaluate, identify, and compare the energy consumption of AI models.<\/p>\n\n\n\n<p>Salesforce also announced it will be the first AI model developer to disclose the energy efficiency data of its&nbsp;<a href=\"https:\/\/zilliz.com\/learn\/model-providers-open-source-vs-closed-source\" target=\"_blank\" rel=\"noreferrer noopener\">proprietary models<\/a>&nbsp;under the new framework.<\/p>\n\n\n\n<p><strong>Why it matters:<\/strong>&nbsp;The AI Energy Score aims to address the lack of transparency about the&nbsp;<a href=\"https:\/\/news.mit.edu\/2025\/explained-generative-ai-environmental-impact-0117\" target=\"_blank\" rel=\"noreferrer noopener\">environmental impact of AI models<\/a>. Similar to how&nbsp;<a href=\"https:\/\/www.energystar.gov\/products\/ask-the-experts\/what-does-energy-star-label-mean\" target=\"_blank\" rel=\"noreferrer noopener\">ENERGY STAR<\/a>&nbsp;transformed energy efficiency standards for appliances and electronics, this initiative establishes a clear, trusted benchmark for AI model sustainability.&nbsp;<\/p>\n\n\n\n<p><strong>Go deeper:&nbsp;<\/strong>The AI Energy Score will debut at the&nbsp;<a href=\"https:\/\/www.elysee.fr\/en\/sommet-pour-l-action-sur-l-ia\" target=\"_blank\" rel=\"noreferrer noopener\">AI Action Summit<\/a>, where leaders from over 100 countries, the private sector, and civil society will convene to harness&nbsp;<a href=\"https:\/\/www.salesforce.com\/artificial-intelligence\/what-is-ai\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">AI<\/a>&nbsp;for good. By enhancing transparency, the score can drive market preference for efficient models and incentivize sustainable AI development. Recognized by the&nbsp;<a href=\"https:\/\/www.info.gouv.fr\/actualite\/sommet-pour-laction-sur-lintelligence-artificielle-selection-des-35-defis-convergence-ia-de-france-2030\" target=\"_blank\" rel=\"noreferrer noopener\">French Government<\/a>&nbsp;and the&nbsp;<a href=\"https:\/\/parispeaceforum.org\/ai-action-summit\/\" target=\"_blank\" rel=\"noreferrer noopener\">Paris Peace Forum<\/a>&nbsp;for its transformative potential, the AI Energy Score features:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Standardized Energy Ratings:\u00a0<\/strong>A standardized framework for measuring and comparing AI model energy efficiency.\u00a0<\/li>\n\n\n\n<li><strong>Public Leaderboard:\u00a0<\/strong>A comprehensive\u00a0<a href=\"https:\/\/huggingface.co\/spaces\/AIEnergyScore\/Leaderboard\" target=\"_blank\" rel=\"noreferrer noopener\">leaderboard<\/a>\u00a0that features scores for 10 common AI tasks \u2014 such as text generation, image generation, and summarization \u2014 performed by 166 models, including Salesforce\u2019s\u00a0<a href=\"https:\/\/www.salesforce.com\/blog\/sfr-top-performing-text-embedding-model\/\" target=\"_blank\" rel=\"noreferrer noopener\">SFR-Embedding<\/a>,\u00a0<a href=\"https:\/\/www.salesforce.com\/blog\/xlam-large-action-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">xLAM<\/a>, and SF-TextBase.\u00a0<\/li>\n\n\n\n<li><strong>Benchmarking Portal:<\/strong>\u00a0A platform where AI developers can submit their open or proprietary AI models to be evaluated and added to the leaderboard. Open models can be automatically tested, while closed models can be evaluated through a secured testing sandbox.<\/li>\n\n\n\n<li><strong>Recognizable Energy Use Label:\u00a0<\/strong>A new 1- to 5-star label that rates AI model energy use, with five stars indicating the highest efficiency. This helps developers and users easily identify and choose more sustainable models. Once rated, AI developers can generate standardized labels to share their models\u2019 energy score, with built-in guidance on the proper label display for visibility and impact.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"520\" height=\"728\" src=\"https:\/\/forum-engagement.org\/2024\/wp-content\/uploads\/2025\/04\/AIEnergyScore-14.png.webp\" alt=\"\" class=\"wp-image-1000017762\" srcset=\"https:\/\/forum-engagement.org\/2024\/wp-content\/uploads\/2025\/04\/AIEnergyScore-14.png.webp 520w, https:\/\/forum-engagement.org\/2024\/wp-content\/uploads\/2025\/04\/AIEnergyScore-14.png-321x450.webp 321w\" sizes=\"(max-width: 520px) 100vw, 520px\" \/><\/figure><\/div>\n\n\n<p><strong>How Salesforce addresses sustainability through Agentforce:&nbsp;<\/strong>Last fall, the company introduced&nbsp;<a href=\"http:\/\/www.salesforce.com\/agentforce\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">Agentforce<\/a>, the agentic layer of the&nbsp;<a href=\"https:\/\/www.salesforce.com\/platform\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">Salesforce Platform<\/a>&nbsp;for deploying&nbsp;<a href=\"https:\/\/www.salesforce.com\/agentforce\/autonomous-agents\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">autonomous AI agents<\/a>&nbsp;across any business function. Agentforce offers tools to build and customize agents, as well as a library of ready-to-use skills for sales, service, marketing, commerce, Tableau, Slack, and more.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Agentforce is built with sustainability at its core, delivering high performance while minimizing environmental impact. Unlike DIY AI approaches that require energy-intensive model training for each customer, Agentforce is optimized out-of-the-box, eliminating the need for costly, or carbon-heavy training.<\/li>\n\n\n\n<li>Its agentic architecture goes beyond reliance on a single\u00a0<a href=\"https:\/\/www.salesforce.com\/blog\/what-are-large-language-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">large language model (LLM)<\/a>, instead leveraging efficient small language models combined with agentic reasoning and other advanced AI tools, significantly reducing energy consumption.\n<ul class=\"wp-block-list\">\n<li>For example, Salesforce\u2019s\u00a0<a href=\"https:\/\/www.salesforce.com\/blog\/sfr-rag\/\" target=\"_blank\" rel=\"noreferrer noopener\">SFR-RAG<\/a>\u00a0is a small language model optimized for accurate, reliable tasks. It cites sources, extracts precise facts, and handles complex questions, delivering trustworthy answers with greater efficiency and lower energy use.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Additionally, Agentforce leverages tailored data and metadata from\u00a0<a href=\"https:\/\/www.salesforce.com\/data\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">Salesforce Data Cloud<\/a>\u00a0and the Salesforce Platform, enabling high accuracy and responsiveness while minimizing wasted computational resources.\u00a0<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Agentforce is built with sustainability at its core, delivering high performance while minimizing environmental impact.<\/p>\n<\/blockquote>\n\n\n\n<p><strong>Soundbites:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cThe AI Energy Score exemplifies the missions of the AI Action Summit by tackling a pressing societal issue \u2014 AI transparency and sustainability \u2014 through bold innovation and global collaboration. We are proud to showcase this groundbreaking initiative at the Summit, as it stands as a powerful testament to the ingenuity of the global academic and industry ecosystem and a rallying call for collective action towards responsible AI development.\u201d \u2013\u00a0<strong>Bruno Bonnell, General Secretary for Investment, France<\/strong><\/li>\n\n\n\n<li>\u201cTransparency like that offered by the AI Energy Score is crucial. Over the past three years, we\u2019ve collaborated to refine and obtain more granular elements for the key indicators like CPU and RAM data. This initiative sets an important milestone, and we hope more proprietary model providers join us in adopting such practices to drive accountability and sustainability across industries and supply chains. By openly sharing energy consumption data, our companies can collectively implement ecodesign practices and minimize the environmental footprint of AI technologies.\u201d \u2013\u00a0<strong>Ariane Thomas, Global Tech Director of Sustainability, L\u2019OREAL Group<\/strong><\/li>\n\n\n\n<li>\u201cThe AI Energy Score represents a major milestone for sustainable AI. By creating a transparent rating system, we address a key blocker for reducing the environmental impact of AI. We\u2019re thrilled to launch this project and look forward to seeing wider adoption.\u201d \u2013\u00a0<strong>Dr. Sasha Luccioni, AI &amp; Climate Lead, Hugging Face<\/strong><\/li>\n\n\n\n<li>\u201cReducing AI energy consumption lowers operational costs, optimizes infrastructure, and enhances long-term sustainability and profitability. We are proud to work with industry leaders to build a more transparent AI ecosystem.\u201d \u2013\u00a0<strong>Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce<\/strong><\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>We are proud to work with industry leaders to build a more transparent AI ecosystem.Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>AI Energy Score establishes a clear and trusted benchmark for the energy efficiency of AI models As part of the initiative, public ratings for 166 commonly-used AI models are being released to help developers and AI users identify models that use less energy Salesforce, in collaboration with&nbsp;Hugging Face,&nbsp;Cohere, and&nbsp;Carnegie Mellon University, today announced the release [&hellip;]<\/p>\n","protected":false},"author":250,"featured_media":1000017763,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-1000017761","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-non-classe"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Salesforce Joins Technology and Academic Leaders to Unveil AI Energy Score Measuring AI Model Efficiency | Forum Engagement<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Salesforce Joins Technology and Academic Leaders to Unveil AI Energy Score Measuring 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