{"id":10195,"date":"2024-09-06T05:00:00","date_gmt":"2024-09-06T12:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=10195"},"modified":"2024-09-06T14:06:11","modified_gmt":"2024-09-06T13:06:11","slug":"agentforce-ai-models-announcement","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/in\/news\/stories\/agentforce-ai-models-announcement\/","title":{"rendered":"Salesforce Delivers Next-Generation AI Models to Power Agentforce"},"content":{"rendered":"\n<p class=\"has-text-align-center\"><em>Salesforce AI Research releases xGen-Sales and xLAM AI models to bring humans and autonomous agents together with data and actions<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>Salesforce today announced new AI models, including xGen-Sales, a proprietary model trained and designed to power autonomous sales tasks with <a href=\"https:\/\/www.salesforce.com\/in\/agentforce\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">Agentforce<\/a>, and xLAM, a new family of Large Action Models designed to handle complex tasks and generate actionable outputs. Together, these models developed by <a href=\"https:\/\/www.salesforceairesearch.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Salesforce AI Research<\/a> will allow Salesforce customers to quickly set up and deploy <a href=\"https:\/\/www.salesforce.com\/in\/agentforce\/what-are-ai-agents\/?d=cta-body-promo-8\" target=\"_blank\" rel=\"noreferrer noopener\">autonomous AI agents<\/a> that take action, driving unprecedented scale.<\/p>\n\n\n\n<p>By fine-tuning xGen-Sales to increase accuracy for relevant industry tasks, it is able to deliver more precise and rapid responses, automating sales tasks such as generating customer insights, enriching contact lists, summarizing calls, and tracking the sales pipeline. This model enhances the capabilities of Agentforce sales agents, allowing them to autonomously nurture pipeline and coach reps with greater accuracy and speed. xGen-Sales\u2019 abilities have already eclipsed other much larger models, according to Salesforce\u2019s own evaluations.<\/p>\n\n\n\n<aside class=\"contextual-driver has-text-align-left contextual-driver--einstein\">\n\t<header class=\"tidbit-header\">\n\t\t<h2 class=\"tidbit-head\">\n\t\t\tHumans with Agents Drive Customer Success Together.\t\t<\/h2>\n\t<\/header>\n\t<div class=\"tidbit-body\">\n\t\t<p><\/p>\t<\/div>\n\t\t\t<p class=\"tidbit-link label\">\n\t\t\t<a class=\"label has-right-arrow has-right-arrow--small\" href=\"https:\/\/www.salesforce.com\/in\/agentforce\/?d=cta-body-promo-8\" target=\"_blank\">\n\t\t\t\t<span>AGENTFORCE IS COMING<\/span>\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 14 10\">\n\t<path d=\"M13.92 5.38a1 1 0 000-.76.9.9 0 00-.17-.26.25.25 0 000-.07l-4-4a1 1 0 00-1.46 1.42L10.59 4H1.07a1 1 0 000 2h9.52l-2.3 2.29a1 1 0 000 1.42 1 1 0 001.42 0l4-4a.25.25 0 000-.07.9.9 0 00.21-.26z\" \/>\n<\/svg>\n\t\t\t<\/a>\n\t\t<\/p>\n\t\t\t\t<img class=\"tidbit img-einstein\"\n\t\tsrcset=\"\n\t\t\thttps:\/\/www.salesforce.com\/in\/news\/wp-content\/themes\/newsroom\/assets\/images\/article-tidbit-einstein-large@0.5x.png 84w,\n\t\t\thttps:\/\/www.salesforce.com\/in\/news\/wp-content\/themes\/newsroom\/assets\/images\/article-tidbit-einstein-large@1x.png 168w,\n\t\t\thttps:\/\/www.salesforce.com\/in\/news\/wp-content\/themes\/newsroom\/assets\/images\/article-tidbit-einstein-large@2x.png 336w\n\t\t\"\n\t\tsrc=\"https:\/\/www.salesforce.com\/in\/news\/wp-content\/themes\/newsroom\/assets\/images\/article-tidbit-einstein-large@1x.png\"\n\t\talt=\"Illustration of einstein\"\n\t\tsizes=\"(min-width:1024px) 175px, 130px\"\n\t>\n\t<\/aside>\n\n\n\n\n<p>xGen-Sales is a step toward the next generation of language models called <a href=\"https:\/\/blog.salesforceairesearch.com\/large-action-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">Large Action Models<\/a> (LAMs). In contrast to <a href=\"https:\/\/www.salesforce.com\/blog\/what-are-large-language-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLMs (Large Language Models)<\/a> that require frequent human involvement and are mostly used for generating content, LAMs specialize in function-calling, which is the ability to execute capabilities within other systems and applications. In other words, they\u2019re able to trigger the actions needed for AI agents to independently perform tasks for people.&nbsp;<\/p>\n\n\n\n<p>In addition to xGen-Sales, Salesforce AI Research has delivered a new LAM family called xLAM. xLAM models offer lower costs, faster performance, and greater accuracy than many of the larger and more complex models that are available today. For example, the xLAM-1B model has <a href=\"https:\/\/twitter.com\/SFResearch\/status\/1807811770267971984\" target=\"_blank\" rel=\"noreferrer noopener\">outperformed<\/a> larger and more expensive models despite consisting of just 1 billion parameters, which are the variables that models learn to generate results and insights. xLAM-1B, specifically, is a non-commercial, open-source model to help advance the science with the research community, while Salesforce uses a much more performant model for Agentforce.<\/p>\n\n\n\n<p><strong>Why it matters:<\/strong> Organizations need AI agents that can take action for employees, augmenting their work so they can focus on more strategic priorities. These models not only understand the jobs they\u2019re intended to handle but also know their own limitations, so agents using them will recognize when it\u2019s time to hand a task over to a human being for quality assurance and completion. Salesforce recently launched its <a href=\"https:\/\/www.salesforce.com\/in\/news\/stories\/crm-benchmark\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLM Benchmark for CRM<\/a>, providing organizations the opportunity to navigate the many models on the market and compare LLMs for CRM use cases.<\/p>\n\n\n\n<p>\u201cBuilding and training your own AI models can be time-consuming, costly, and incredibly frustrating,\u201d said Salesforce Chief Scientist <a href=\"https:\/\/www.linkedin.com\/in\/silvio-savarese-97b76114\/\" target=\"_blank\" rel=\"noreferrer noopener\">Silvio Savarese<\/a>. \u201cWith Agentforce, we\u2019re able to deliver appropriately sized models, built specifically for your business with your data to drive outcomes.\u201d&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Building and training your own AI models can be time-consuming, costly, and incredibly frustrating. With Agentforce, we\u2019re able to deliver appropriately sized models, built specifically for your business with your data to drive outcomes.<\/p>\n<cite>Silvio Savarese, Chief Scientist of Salesforce AI Research<\/cite><\/blockquote>\n\n\n\n<p><strong>Behind the news: <\/strong>To train the xLAM models,<strong> <\/strong>Salesforce AI Research created <a href=\"https:\/\/apigen-pipeline.github.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">APIGen<\/a>, a robust, proprietary pipeline for generating high-quality synthetic data. Positive results were almost immediate, with xLAM 8x22b capturing a No. 1 ranking&nbsp; on the Berkeley Leaderboards for function calling, surpassing GPT-4, according to <a href=\"https:\/\/arxiv.org\/abs\/2409.03215\" target=\"_blank\" rel=\"noreferrer noopener\">Salesforce\u2019s own evaluation<\/a>. The xLAM-8x7b model is ranked sixth. Both beat models that are many times their size<strong>. <\/strong>The four language models in the xLAM family include:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Tiny (xLAM-1B):<\/strong> The \u201cTiny Giant\u201d features 1B parameters. Given the model\u2019s compact size, it is most suitable for on-device applications where larger models are more impractical. The xLAM-1B can be used to create powerful and responsive AI assistants that can run locally on smartphones or other devices with limited computing resources.<\/li>\n\n\n\n<li><strong>Small (xLAM-7B):<\/strong> The 7B model is designed for swift academic exploration with limited GPU resources. It can be used to perform planning and reasoning tasks for agentic applications in a light-weight environment.<\/li>\n\n\n\n<li><strong>Medium (xLAM-8x7B):<\/strong> An 8x7B <a href=\"https:\/\/huggingface.co\/blog\/moe\" target=\"_blank\" rel=\"noreferrer noopener\">mixture-of-experts model<\/a>, the 8x7B is ideal for industrial applications striving for a balanced combination of latency, resource consumption, and performance.<\/li>\n\n\n\n<li><strong>Large (xLAM-8x22B):<\/strong> The 8x22B<strong> <\/strong>is a large mixture-of-experts model that allows organizations with a certain level of computational resources to achieve optimal performance.<\/li>\n<\/ul>\n\n\n\n<p><strong>The customer perspective:<\/strong> &#8220;The models Salesforce is delivering for its Agentforce platform are what give us confidence that we\u2019ll have the capabilities we need to roll out strong and cost-effective autonomous AI capabilities over time,\u201d said Rena Bhattacharyya, Chief Analyst and Practice Lead, Enterprise Technology &amp; Services at GlobalData. \u201cSalesforce is truly paving the way for the AI Agent revolution.\u201d<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Salesforce is truly paving the way for the AI Agent revolution.<\/p>\n<cite>Rena Bhattacharyya, Chief Analyst and Practice Lead, Enterprise Technology &amp; Services at GlobalData<\/cite><\/blockquote>\n\n\n\n<p><strong>The Salesforce perspective:<\/strong> \u201cWe envision a future in which sellers are augmented by AI to help them drive selling efficiency, freeing up precious time to focus on their customers,\u201d said MaryAnn Patel, SVP, Product Management, SVP, Product Management at Salesforce. \u201cThe xGen-Sales model is purpose built to help companies build generative AI solutions that will augment the work of their sales teams with Agentforce.\u201d<\/p>\n\n\n\n<p><strong>Salesforce AI Research<\/strong> is Salesforce\u2019s artificial intelligence research lab, which develops new technological breakthroughs in the field. The team comprises researchers, engineers, and product managers working to shape the future of AI for businesses via foundational research that directly informs product development.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-availability\"><strong>Availability:<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The non-commercial, open-source version of the xLAM suite of LAMs is available on <a href=\"https:\/\/huggingface.co\/collections\/Salesforce\/xlam-models-65f00e2a0a63bbcd1c2dade4\" target=\"_blank\" rel=\"noreferrer noopener\">Hugging Face<\/a> for community review and benchmark testing. A significantly more advanced, proprietary version is powering Agentforce.&nbsp;&nbsp;<\/li>\n\n\n\n<li>xGen-Sales recently completed a pilot and will be generally available soon.&nbsp;<\/li>\n<\/ul>\n\n\n\n<aside class=\"more-from-block more-from-block--2 alignfull wp-block-newsroom-moreontopic\">\n\t<div class=\"more-from-block__content\">\n\t\t\t\t\t<h4 class=\"more-from-block__title\">Related<\/h4>\n\t\t\n\t\t<div class=\"more-from-block__cards more-from-block__cards--2\"\n\t\t\t\t>\n\t\t\t\n\n<article\t\t\titemscope=\"\"\n\t\titemtype=\"https:\/\/schema.org\/Article\"\n\t\tdata-card-id=\"13312\"\n\t\tclass=\"content-card content-card--large-inline is-entire-area-clickable content-card--is-boxed\"\n\t\t\tdata-clickable-area-link=\"https:\/\/www.salesforce.com\/in\/news\/stories\/salesforce-south-asia-anthem\/\"\n\t>\n\t\t\t<div class=\"content-card__image-container\" itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\">\n\t\t\t<img width=\"1024\" 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https:\/\/www.salesforce.com\/in\/news\/wp-content\/uploads\/sites\/20\/2026\/03\/Salesforce-AI-Research-Launches-AI-Foundry-a-New-Initiative-to-Accelerate-System-Level-Enterprise-AI.png?w=678&amp;h=381 678w, https:\/\/www.salesforce.com\/in\/news\/wp-content\/uploads\/sites\/20\/2026\/03\/Salesforce-AI-Research-Launches-AI-Foundry-a-New-Initiative-to-Accelerate-System-Level-Enterprise-AI.png?w=150&amp;h=84 150w, https:\/\/www.salesforce.com\/in\/news\/wp-content\/uploads\/sites\/20\/2026\/03\/Salesforce-AI-Research-Launches-AI-Foundry-a-New-Initiative-to-Accelerate-System-Level-Enterprise-AI.png?w=314&amp;h=177 314w, https:\/\/www.salesforce.com\/in\/news\/wp-content\/uploads\/sites\/20\/2026\/03\/Salesforce-AI-Research-Launches-AI-Foundry-a-New-Initiative-to-Accelerate-System-Level-Enterprise-AI.png?w=343&amp;h=193 343w\" \/>\t\t\t\t\t<\/div>\n\t\n\t<div class=\"content-card__content-container content-card__content-container--style-\">\n\t\t\n\t\t\n\t\t\t\t\t<h3 itemprop=\"headline\" class=\"content-card__title\">\n\t\t\t\t\t\t\t\t\t<a\n\t\t\t\t\t\thref=\"https:\/\/www.salesforce.com\/in\/news\/stories\/ai-foundry-announcement\/\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttarget=\"_blank\"\n\t\t\t\t\t\t\t\t\t\t\t\tclass=\"content-card__title-link\"\n\t\t\t\t\t>\n\t\t\t\t\t\t\t\tSalesforce AI Research Launches AI Foundry to Accelerate System-Level Enterprise AI\t\t\t\t<\/a>\t\t\t<\/h3>\n\t\t\n\t\t\t\t\n\t\t\n\t\t\t\t\t<div itemprop=\"readTime\" class=\"content-card__read-time\">\n\t\t\t\t3 min read\t\t\t<\/div>\n\t\t\n\t\t\t<\/div>\n\n<\/article>\n\n\t\t<\/div>\n\t\t<noscript>\n<div class=\"pagination-fallback\">\n\n\t\t<a href=\"https:\/\/www.salesforce.com\/in\/news\/wp-json\/wp\/v2\/posts\/10195\/page\/2\/?bc=OTH#section-title\">\n\t\t\tOlder Posts\t\t<\/a>\n\t\t<\/div>\n<\/noscript>\n\t<\/div>\n<\/aside>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-more-information-nbsp\"><strong>More information:&nbsp;<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Get more details in the story <a href=\"https:\/\/www.salesforce.com\/blog\/small-language-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">Tiny Titans: How Small Language Models Outperform LLMs for Less<\/a><\/li>\n\n\n\n<li>Find more in <a href=\"http:\/\/blog.salesforceairesearch.com\/xlam-large-action-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">Actions Speak Louder Than Words: Introducing xLAM, Salesforce&#8217;s In-House Family of Large Action Models<\/a>&nbsp;<\/li>\n\n\n\n<li>Explore the <a href=\"https:\/\/www.salesforceairesearch.com\/projects\/xlam-large-action-models\" target=\"_blank\" rel=\"noreferrer noopener\">xLAM Webpage&nbsp;<\/a><\/li>\n\n\n\n<li>Read <a href=\"https:\/\/blog.salesforceairesearch.com\/how-ai-agents-will-revolutionize-the-ai-enterprise\/\" target=\"_blank\" rel=\"noreferrer noopener\">How AI Agents Will Revolutionize the AI Enterprise<\/a><\/li>\n\n\n\n<li>Dive into the <a href=\"https:\/\/blog.salesforceairesearch.com\/large-action-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">Large Action Model Explainer&nbsp;<\/a><\/li>\n\n\n\n<li>Check out the <a href=\"https:\/\/huggingface.co\/collections\/Salesforce\/xlam-models-65f00e2a0a63bbcd1c2dade4\" target=\"_blank\" rel=\"noreferrer noopener\">Hugging Face dashboard&nbsp;<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Salesforce AI Research releases xGen-Sales and xLAM AI models to bring humans and autonomous agents together with data and actions Salesforce today announced new AI models, including xGen-Sales, a proprietary model trained and designed to power autonomous sales tasks with Agentforce, and xLAM, a new family of Large Action Models designed to handle complex tasks [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":10194,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"sf_subhead":"","sf_i18n_disclaimer":false,"_jetpack_memberships_contains_paid_content":false,"alternateThumbnailId":0,"sf_product_cta_id":0,"footnotes":""},"categories":[],"tags":[],"sf_content_type":[1239],"sf_theme":[1114],"sf_topic":[1092,1100,1093,2652],"sf_product":[2651,1131],"sf_industry":[],"sf_role":[],"sf_multimedia_asset":[],"sf_location":[1094],"sf_collection":[2504],"sf_visibility":[],"coauthors":[],"class_list":["post-10195","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","sf_content_type-news-announcement-product","sf_theme-artificial-intelligence","sf_topic-artificial-intelligence","sf_topic-automation","sf_topic-digital-transformation","sf_topic-enterprise-ai","sf_product-einstein-ai","sf_product-salesforce-platform","sf_location-global","sf_collection-cio-corner"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Next-Generation AI Models to Power Agentforce - Salesforce<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.salesforce.com\/in\/news\/stories\/agentforce-ai-models-announcement\/\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Salesforce Delivers Next-Generation AI Models to Power Agentforce\" \/>\n<meta property=\"og:description\" content=\"Salesforce AI Research releases xGen-Sales and xLAM AI models to bring humans and autonomous agents together with data and actions Salesforce today announced new AI models, including xGen-Sales, a proprietary model trained and designed to power autonomous sales tasks with Agentforce, and xLAM, a new family of Large Action Models 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