{"version":"1.0","provider_name":"Edge AI and Vision Alliance","provider_url":"https:\/\/www.edge-ai-vision.com","title":"On-Device LLMs in 2026: What Changed, What Matters, What's Next - Edge AI and Vision Alliance","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"2EdVgo30EH\"><a href=\"https:\/\/www.edge-ai-vision.com\/2026\/01\/on-device-llms-in-2026-what-changed-what-matters-whats-next\/\">On-Device LLMs in 2026: What Changed, What Matters, What&#8217;s Next<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.edge-ai-vision.com\/2026\/01\/on-device-llms-in-2026-what-changed-what-matters-whats-next\/embed\/#?secret=2EdVgo30EH\" width=\"600\" height=\"338\" title=\"&#8220;On-Device LLMs in 2026: What Changed, What Matters, What&#8217;s Next&#8221; &#8212; Edge AI and Vision Alliance\" data-secret=\"2EdVgo30EH\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.edge-ai-vision.com\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/www.edge-ai-vision.com\/wp-content\/uploads\/2026\/01\/on_device_llms-1024x683.png","thumbnail_width":1024,"thumbnail_height":683,"description":"In On-Device LLMs: State of the Union, 2026, Vikas Chandra and Raghuraman Krishnamoorthi explain why running LLMs on phones has moved from novelty to practical engineering, and why the biggest breakthroughs came not from faster chips but from rethinking how models are built, trained, compressed, and deployed. Why run LLMs locally? Four reasons: latency (cloud [&hellip;]"}