{"id":190956,"date":"2024-02-26T12:34:57","date_gmt":"2024-02-26T12:34:57","guid":{"rendered":"https:\/\/www.techopedia.com\/?p=190956"},"modified":"2024-02-27T16:14:11","modified_gmt":"2024-02-27T16:14:11","slug":"how-nvidia-chat-with-rtx-brings-llms-as-an-operating-system-closer","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/exploring-nvidia-chat-with-rtx-as-an-offline-llm","title":{"rendered":"How &#8216;Nvidia Chat with RTX&#8217; Brings &#8216;LLMs as an Operating System&#8217; Closer"},"content":{"rendered":"<p>Earlier this month, <a href=\"https:\/\/blogs.nvidia.com\/blog\/chat-with-rtx-available-now\/\" target=\"_blank\">Nvidia released Chat with RTX<\/a>, a free-to-download, <a href=\"https:\/\/www.techopedia.com\/definition\/34633\/generative-ai\">generative AI<\/a>-powered <a href=\"https:\/\/www.techopedia.com\/definition\/16366\/chatterbot\">chatbot<\/a> that users can interact with and customize as long as they have relatively affordable <a href=\"https:\/\/www.techopedia.com\/definition\/24862\/graphics-processing-unit-gpu\">GPUs<\/a> in their desktops.<\/p>\n<p>Users query the chatbot and locate content stored locally in txt, .pdf, .doc, .docx, and .xml files, which can then be connected to <a href=\"https:\/\/www.techopedia.com\/definition\/3294\/open-source\">open-source<\/a> language models like <a href=\"https:\/\/www.techopedia.com\/metas-llama-2-vs-openais-chatgpt-is-it-over-for-chatgpt\">Llama 2<\/a> and <a href=\"https:\/\/www.techopedia.com\/mistral-ai-exploring-europes-latest-tech-unicorn\">Mistral<\/a>.<\/p>\n<p>What&#8217;s notable about this approach is that it brings a virtual assistant directly onto the user&#8217;s local device without reaching out to online server farms.<\/p>\n<p>In announcing Nvidia Chat, Nvidia said: &#8220;Since Chat with RT runs locally on Windows RTX PCs and workstations, the provided results are fast \u2014 and the user&#8217;s data stays on the device.<\/p>\n<blockquote><p>&#8220;Rather than relying on cloud-based LLM services, Chat with RTX lets users process sensitive data on a local PC without the need to share it with a third party or have an internet connection.&#8221;<\/p><\/blockquote>\n<div class=\"su-note\"  style=\"border-color:#dddddd;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f7f7;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<h2><span id=\"key_takeaways\">Key Takeaways<\/span><\/h2>\n<ul>\n<li>Nvidia&#8217;s latest release of Chat with RTX brings a generative AI-powered chatbot directly onto local devices \u2014 with no internet connection.<\/li>\n<li>By using retrieval-augmented generation (RAG), users can process data locally and customize virtual assistants on their Windows PCs.<\/li>\n<li>Combined with Google&#8217;s Gemma, these push the momentum towards AI on the desktop rather than web-based, along with decentralized AI trained on specific datasets.<\/li>\n<\/ul>\n<\/div><\/div>\n<div>\n    <section class=\"toc-sticky w-100 bg-white \">\n        <div class=\"toc-sticky__container container\">\n            <div class=\"toc-sticky__open d-flex align-items-end\" data-bs-toggle=\"collapse\"\n                 aria-controls=\"multiCollapse1\"\n                 data-bs-target=\"#multiCollapse1\">\n                <button\n                        class=\"btn btn-primary collapse-action-btn p-1 rounded-circle\"\n                        type=\"button\"\n                >\n                    <i class=\"icon-chevron-up\"><\/i>\n                <\/button>\n                <span id=\"toc-current-title\" class=\"d-flex align-items-center\">\n                    Table of Contents\n                <\/span>\n                <span class=\"toc-main-title-permanent\">Table of Contents<\/span>\n            <\/div>\n            <div\n                    class=\"collapse my-3\"\n                    id=\"multiCollapse1\"\n            >\n                <ol class=\"StepProgress\">\n                                                                        <li class=\"StepProgress-item current\">\n                                                <div class=\"StepProgress-item__group\">\n                            <a data-id=\"key_takeaways\"\n                               onclick=handleScrollToTitle(\"key_takeaways\")\n                               class=\"StepProgress-item__link\" data-level=\"2\">Key Takeaways<\/a>\n                                                    <\/div>\n                                                <\/li>\n                                                                        <li class=\"StepProgress-item\">\n                                                <div class=\"StepProgress-item__group\">\n                            <a data-id=\"llms_as_an_operating_system\"\n                               onclick=handleScrollToTitle(\"llms_as_an_operating_system\")\n                               class=\"StepProgress-item__link\" data-level=\"2\">LLMs as an Operating System<\/a>\n                                                    <\/div>\n                                                <\/li>\n                                                                        <li class=\"StepProgress-item\">\n                                                <div class=\"StepProgress-item__group\">\n                            <a data-id=\"a_step_toward_a_decentralized_future\"\n                               onclick=handleScrollToTitle(\"a_step_toward_a_decentralized_future\")\n                               class=\"StepProgress-item__link\" data-level=\"2\">A Step Toward a Decentralized Future<\/a>\n                                                    <\/div>\n                                                <\/li>\n                                                                        <li class=\"StepProgress-item\">\n                                                <div class=\"StepProgress-item__group\">\n                            <a data-id=\"the_bottom_line\"\n                               onclick=handleScrollToTitle(\"the_bottom_line\")\n                               class=\"StepProgress-item__link\" data-level=\"2\">The Bottom Line<\/a>\n                                                    <\/div>\n                                                <\/li>\n                                                                        <li class=\"StepProgress-item\">\n                                                <div class=\"StepProgress-item__group\">\n                            <a data-id=\"faqs\"\n                               onclick=handleScrollToTitle(\"faqs\")\n                               class=\"StepProgress-item__link\" data-level=\"2\">FAQs<\/a>\n                                                    <\/div>\n                                                <\/li>\n                                                                        <li class=\"StepProgress-item\">\n                                                <div class=\"StepProgress-item__group\">\n                            <a data-id=\"references\"\n                               onclick=handleScrollToTitle(\"references\")\n                               class=\"StepProgress-item__link\" data-level=\"2\">References<\/a>\n                                                    <\/div>\n                                                <\/li>\n                                    <\/ol>\n                <div class=\"toc-sticky__container__disperse\"><\/div>\n                <div class=\"toc-sticky__btn-top justify-content-center\">\n                    <button class=\"btn btn-link d-flex align-items-center\" onclick={btnTop()}><p>Show Full Guide<\/p><img decoding=\"async\"\n                                src=\"\/wp-content\/plugins\/table-of-contents\/assets\/images\/arrow-up-circle.svg\"\n                                alt=\"arrow-up-circle\">\n                    <\/button>\n                <\/div>\n            <\/div>\n        <\/div>\n    <\/section>\n    <div class=\"toc-sticky-list\">\n        <div class=\"toc-sticky__container container\">\n            <div class=\"toc-sticky__open d-flex align-items-end\" data-bs-toggle=\"collapse\" aria-controls=\"multiCollapse2\" data-bs-target=\"#multiCollapse2\">\n                <button class=\"btn btn-primary collapse-action-btn p-1 rounded-circle\"\n                        type=\"button\">\n                    <i class=\"icon-chevron-up up\"><\/i>\n                <\/button>\n                <span id=\"toc-current-title\" class=\"d-flex align-items-center\">\n                    Table of Contents\n                <\/span>\n            <\/div>\n            <div  class=\"collapse my-3\" id=\"multiCollapse2\">\n                <ol class=\"StepProgress\">\n                    \t\t\t\t\t \t\t\t\t\t                                                     <li class=\"StepProgress-item current \">\n                                                    <div class=\"StepProgress-item__group\">\n                                <a data-id=\"key_takeaways\"\n                                   onclick=handleScrollToTitle(\"key_takeaways\")\n                                   class=\"StepProgress-item__link\"\n                                   data-level=\"2\">Key Takeaways<\/a>\n                                                            <\/div>\n                                                    <\/li>\n                    \t\t\t\t\t \t\t\t\t\t                                                     <li class=\"StepProgress-item \">\n                                                    <div class=\"StepProgress-item__group\">\n                                <a data-id=\"llms_as_an_operating_system\"\n                                   onclick=handleScrollToTitle(\"llms_as_an_operating_system\")\n                                   class=\"StepProgress-item__link\"\n                                   data-level=\"2\">LLMs as an Operating System<\/a>\n                                                            <\/div>\n                                                    <\/li>\n                    \t\t\t\t\t \t\t\t\t\t                                                     <li class=\"StepProgress-item \">\n                                                    <div class=\"StepProgress-item__group\">\n                                <a data-id=\"a_step_toward_a_decentralized_future\"\n                                   onclick=handleScrollToTitle(\"a_step_toward_a_decentralized_future\")\n                                   class=\"StepProgress-item__link\"\n                                   data-level=\"2\">A Step Toward a Decentralized Future<\/a>\n                                                            <\/div>\n                                                    <\/li>\n                    \t\t\t\t\t \t\t\t\t\t\n\t\t\t\t\t\t <span class=\"show_moretoc\">Show Full Guide<\/span>\n\t\t\t\t\t\t \t\t\t\t\t \t\t\t\t\t\t  \t\t\t\t\t                                                      <li class=\"StepProgress-item ms_hidetoc\">\n                                                    <div class=\"StepProgress-item__group\">\n                                <a data-id=\"the_bottom_line\"\n                                   onclick=handleScrollToTitle(\"the_bottom_line\")\n                                   class=\"StepProgress-item__link\"\n                                   data-level=\"2\">The Bottom Line<\/a>\n                                                            <\/div>\n                                                    <\/li>\n                    \t\t\t\t\t \t\t\t\t\t \t\t\t\t\t\t  \t\t\t\t\t                                                      <li class=\"StepProgress-item ms_hidetoc\">\n    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data-level=\"2\">References<\/a>\n                                                            <\/div>\n                                                    <\/li>\n                                    <\/ol>\n            <\/div>\n            <div class=\"toc-sticky__container__disperse\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n<script id=\"toc-js\">\n    window.addEventListener(\"DOMContentLoaded\", () => {\n        const header = document.querySelector(\".header_wrapper\");\n\n        const pageLegend = document.querySelector('#multiCollapse1');\n        const pageLegendList = document.querySelector('#multiCollapse2');\n        const pageLegendCollapse = new bootstrap.Collapse(pageLegend, {toggle: document.querySelector(\".toc-sticky\").classList.contains('sticky')});\n\n        \/**\n         * Changing current title\n         *\/\n        (function (pageLegend) {\n            const titleNodes = pageLegend.querySelectorAll('.StepProgress-item__link');\n\n            if 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    top: el.offsetTop - 60 - headerHeightDifference - 10,\n        });\n    }\n<\/script>\n\n<h2><span id=\"llms_as_an_operating_system\">LLMs as an Operating System<\/span><\/h2>\n<p>For Nvidia, Chat with RTX is a step toward reimagining how LLMS are accessed and used.<\/p>\n<p>Giving users the ability to customize a chatbot locally on a Windows PC, on their own documents and data, opens the door for developers to create their own personalized virtual assistants.<\/p>\n<p>This is made possible for owners of the RTX 30 Series and 40 Series GPU through the use of a combination of <a href=\"https:\/\/www.techopedia.com\/definition\/rag\">retrieval-augmented generation<\/a> (RAG), NVIDIA TensorRT-LLM, and NVIDIA RTX acceleration.<\/p>\n<p>Senior research scientist and lead of AI agents Dr Jim Fan, in a post on X:<\/p>\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\">\n<p lang=\"en\" dir=\"ltr\">NVIDIA released Chat with RTX. Why is it significant? It&#39;s NVIDIA&#39;s first step towards the vision of &quot;LLM as Operating System&quot; &#8211; a locally running, heavily optimized AI assistant that deeply integrates with your file systems, features retrieval as the first-class citizen,\u2026 <a href=\"https:\/\/t.co\/0aJTHwqymV\" target=\"_blank\">pic.twitter.com\/0aJTHwqymV<\/a><\/p>\n<p>&mdash; Jim Fan (@DrJimFan) <a href=\"https:\/\/twitter.com\/DrJimFan\/status\/1757821442165780736?ref_src=twsrc%5Etfw\" target=\"_blank\">February 14, 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>As Fan says, &#8220;NVIDIA is going local before OpenAI,&#8221; releasing an offline-friendly virtual assistant rather than a web-hosted chatbot like <a href=\"https:\/\/www.techopedia.com\/definition\/34933\/chatgpt\">ChatGPT<\/a>.<\/p>\n<p>More broadly, Chat with RTX demonstrates how more and more vendors are looking to make the power of generative AI accessible to end users.<\/p>\n<p>For instance, Google&#8217;s release of <a href=\"https:\/\/www.techopedia.com\/gemma-open-ai-model\">Gemma<\/a>, a series of open models lightweight enough to run directly on a laptop or desktop computer, gives users the option to train models on smaller devices.<\/p>\n<h2><span id=\"a_step_toward_a_decentralized_future\">A Step Toward a Decentralized Future<\/span><\/h2>\n<p>The decentralization of AI has been brewing for quite some time \u2013 as researchers look to build their own custom models with specific datasets.<\/p>\n<p>After all, while tools like ChatGPT and <a href=\"https:\/\/www.techopedia.com\/anthropic-unveils-claude-2-1-its-most-advanced-ai-assistant-yet\">Claude<\/a> can be useful for tasks like text summarization or even content creation, they aren&#8217;t a fit for every use case.<\/p>\n<p>Giving developers the option to train open-source models offline with Chat with RTX and local files provides more control over model development by presenting an opportunity to build and train with a highly-curated dataset.<\/p>\n<p>This local training is a key point of differentiation from other solution providers like Google and Microsoft &#8211; which have attempted to develop LLM-driven tools powered by web-based data.<\/p>\n<p>In each case, these two tech giants have attempted to allow users to process data stored across their cloud environments and product ecosystems.<\/p>\n<p>For instance, <a href=\"https:\/\/www.techopedia.com\/definition\/copilot-ai\">Microsoft Copilot<\/a> enables users to query data stored in documents, emails, calendars, chats, meetings, and contacts. This means users can ask Copilot questions about documents, pull data from emails, or even use assistants as part of popular 365 Apps like Word, Excel, PowerPoint, Outlook, and Teams.<\/p>\n<p>Likewise, Google <a href=\"https:\/\/www.techopedia.com\/everything-we-know-about-google-gemini\">Gemini<\/a> can integrate with Google Workspace products like Gmail, Docs, and Sheets so that users can search for content stored within these tools or even generate content directly with Gemini when using them.<\/p>\n<p>Chat with RTX provides an alternative to this approach by giving users the option to search through content located in their local device rather than stored in the cloud.<\/p>\n<h2><span id=\"the_bottom_line\">The Bottom Line<\/span><\/h2>\n<p>Chat with RTX highlights that the concept of virtual assistant is evolving to embrace personalization. Local files and data can be as valuable to generating insights as web-based data and are much easier to protect from unauthorized third parties.<\/p>\n<p>The future of generative AI is moving toward personalized models, trained on select datasets and optimized for specific use cases rather than more generic consumer-grade models.<\/p>\n<div class=\"reference-content\">\n<h2><span id=\"faqs\">FAQs<\/span><\/h2>\n<div class=\"man_faq_sec\" itemscope itemtype=\"https:\/\/schema.org\/FAQPage\"><\/time><section class=\"ms_faq ms_card \" ><div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\"><div class=\"accordionButton\"><h3 itemprop=\"name\">What is Chat with RTX?<\/h3> <\/div>\n<div class=\"accordionContent\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\" style=\"display:none;\"><p itemprop=\"text\">Chat With RTX is an LLM that\u2019s designed to run locally on a Windows RTX PC or workstation, which lets the user query information stored on their device in documents, files, notes, and other sources. File formats supported by Chat with RTX include text, pdf, doc\/docx, and XML.<\/p>\r\n                <\/div><\/div><\/section>\n<section class=\"ms_faq ms_card \" ><div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\"><div class=\"accordionButton\"><h3 itemprop=\"name\">How does Chat with RTX utilize NVIDIA RTX technology?<\/h3> <\/div>\n<div class=\"accordionContent\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\" style=\"display:none;\"><p itemprop=\"text\">Nvidia RTX is a visual computing solution that enables developers to create accelerated AI-driven applications &#8211; such as Chat with RTX.<\/p>\r\n                <\/div><\/div><\/section>\n<section class=\"ms_faq ms_card \" ><div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\"><div class=\"accordionButton\"><h3 itemprop=\"name\">What are the key features of Chat with RTX?<\/h3> <\/div>\n<div class=\"accordionContent\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\" style=\"display:none;\"><p itemprop=\"text\">Chat with RTX not only enables users to search for content in local files but can also be used to train open source models like Llama 2 and Mistral. This means that it can be used for creating personalized virtual assistants.<\/p>\r\n                <\/div><\/div><\/section>\n<section class=\"ms_faq ms_card \" ><div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\"><div class=\"accordionButton\"><h3 itemprop=\"name\">Do I need an RTX graphics card to use Chat with RTX?<\/h3> <\/div>\n<div class=\"accordionContent\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\" style=\"display:none;\"><p itemprop=\"text\">To use Chat with RTX you need to have a GeForce RTX 30 Series GPU or higher with over 8GB of VRAM. You also need to have Windows 10 or 11.<\/p>\r\n                <\/div><\/div><\/section>\n<section class=\"ms_faq ms_card \" ><div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\"><div class=\"accordionButton\"><h3 itemprop=\"name\">Is Chat with RTX compatible with all operating systems and devices?<\/h3> <\/div>\n<div class=\"accordionContent\" itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\" style=\"display:none;\"><p itemprop=\"text\">Chat with RTX is only compatible with Windows 10 or 11.<\/p>\r\n                <\/div><\/div><\/section>\n<div class=\"reference-heading reference-content-collapsible-heading\">\n<h2><span id=\"references\">References<\/span><\/h2>\n<\/div>\n<div class=\"reference-content-body\">\n<ul>\n<li><a href=\"https:\/\/blogs.nvidia.com\/blog\/chat-with-rtx-available-now\/\" rel=\"noopener\" target=\"_blank\">Say What? Chat With RTX Brings Custom Chatbot to NVIDIA RTX AI PCs<\/a> (NVIDIA)<\/li>\n<li><a href=\"https:\/\/twitter.com\/DrJimFan\/status\/1757821442165780736\" rel=\"noopener\" target=\"_blank\">Jim Fan&#8217;s tweet<\/a> (X.com)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Earlier this month, Nvidia released Chat with RTX, a free-to-download, generative AI-powered chatbot that users can interact with and customize as long as they have relatively affordable GPUs in their desktops. Users query the chatbot and locate content stored locally in txt, .pdf, .doc, .docx, and .xml files, which can then be connected to open-source [&hellip;]<\/p>\n","protected":false},"author":286576,"featured_media":190967,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_lmt_disableupdate":"no","_lmt_disable":"","om_disable_all_campaigns":false,"footnotes":""},"categories":[573,599],"tags":[],"category_partsoff":[],"class_list":["post-190956","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-machine-learning"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.2 (Yoast SEO v24.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Exploring &#039;Nvidia Chat with RTX&#039; as an Offline LLM - Techopedia<\/title>\n<meta name=\"description\" content=\"Nvidia released Chat with RTX, a free-to-download, genAI-powered chatbot that users can interact with and customize on their home desktops.\" \/>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How &#039;Nvidia Chat with RTX&#039; 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