{"id":6755,"date":"2025-02-19T11:49:32","date_gmt":"2025-02-19T16:49:32","guid":{"rendered":"https:\/\/www.stratospherenetworks.com\/blog\/?p=6755"},"modified":"2025-02-19T11:49:32","modified_gmt":"2025-02-19T16:49:32","slug":"ai-training-data-how-much-do-you-need","status":"publish","type":"post","link":"https:\/\/www.stratospherenetworks.com\/blog\/ai-training-data-how-much-do-you-need\/","title":{"rendered":"AI training data: How much do you need?"},"content":{"rendered":"<p><img decoding=\"async\" class=\"alignleft size-medium wp-image-6756\" src=\"https:\/\/www.stratospherenetworks.com\/blog\/wp-content\/uploads\/2025\/02\/Artificial-intelligence-chipset-on-circuit-board-in-futuristic-concept-300x208.jpg\" alt=\"Artificial intelligence chipset on circuit board in futuristic concept technology artwork for web, banner, card, cover. Vector illustration\" width=\"300\" height=\"208\" srcset=\"https:\/\/www.stratospherenetworks.com\/blog\/wp-content\/uploads\/2025\/02\/Artificial-intelligence-chipset-on-circuit-board-in-futuristic-concept-300x208.jpg 300w, https:\/\/www.stratospherenetworks.com\/blog\/wp-content\/uploads\/2025\/02\/Artificial-intelligence-chipset-on-circuit-board-in-futuristic-concept-1024x711.jpg 1024w, https:\/\/www.stratospherenetworks.com\/blog\/wp-content\/uploads\/2025\/02\/Artificial-intelligence-chipset-on-circuit-board-in-futuristic-concept-768x533.jpg 768w, https:\/\/www.stratospherenetworks.com\/blog\/wp-content\/uploads\/2025\/02\/Artificial-intelligence-chipset-on-circuit-board-in-futuristic-concept-1536x1066.jpg 1536w, https:\/\/www.stratospherenetworks.com\/blog\/wp-content\/uploads\/2025\/02\/Artificial-intelligence-chipset-on-circuit-board-in-futuristic-concept-2048x1421.jpg 2048w, https:\/\/www.stratospherenetworks.com\/blog\/wp-content\/uploads\/2025\/02\/Artificial-intelligence-chipset-on-circuit-board-in-futuristic-concept-200x139.jpg 200w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>If advancing your company\u2019s adoption of generative <a href=\"https:\/\/www.stratospherenetworks.com\/artificial-intelligence-for-businesses.html\" target=\"_blank\" rel=\"noopener\">artificial intelligence<\/a> (genAI) is one of your primary areas of focus for 2025, you\u2019re not alone: 75 percent of executives consider AI\/genAI one of their top three strategic priorities this year, according to the <a href=\"https:\/\/www.bcg.com\/publications\/2025\/closing-the-ai-impact-gap\" target=\"_blank\" rel=\"noopener nofollow\" class=\"external external_icon\">Boston Consulting Group (BCG) AI Radar global survey<\/a>.<\/p>\n<p>Additionally, instead of the \u201cplug and play\u201d approach that many opted for when ChatGPT first debuted, many organizations have shifted toward deploying tailored genAI models, according to <a href=\"https:\/\/www.techtarget.com\/searchenterpriseai\/feature\/The-future-of-generative-AI-Trends-to-follow\" target=\"_blank\" rel=\"noopener nofollow\" class=\"external external_icon\">TechTarget<\/a>. For example, Vivek Mishra, a senior Institute of Electrical and Electronics Engineers (IEEE) member, told TechTarget that a financial firm might utilize company data to train a large language model (LLM) to assist clients in selecting investments.<\/p>\n<p>However, you need a substantial amount of high-quality training data to customize an LLM in that manner. If you\u2019re a business leader thinking about implementing a bespoke genAI tool for your company, here\u2019s what you should know about AI training data before you move forward with the project.<\/p>\n<h2>What is AI training data?<\/h2>\n<p>AI training data is the information utilized to teach AI systems and machine learning models, according to <a href=\"https:\/\/www.uniphore.com\/glossary\/ai-training-data\/\" target=\"_blank\" rel=\"noopener nofollow\" class=\"external external_icon\">Uniphore<\/a>. To create an effective and unbiased genAI tool capable of making well-informed decisions and adapting, you must train it with a significant amount of high-quality data.<\/p>\n<p>Uniphore notes that AI training data can take several forms, including but not limited to the following:<\/p>\n<ul>\n<li>Videos<\/li>\n<li>Images<\/li>\n<li>Text<\/li>\n<li>Audio recordings<\/li>\n<li>Sensor readings<\/li>\n<\/ul>\n<h2>How much AI training data do you need to create a customized model?<\/h2>\n<p>The amount of AI training data required increases with model size and complexity, according to <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-model\" target=\"_blank\" rel=\"noopener nofollow\" class=\"external external_icon\">IBM<\/a>. The Harvard Business Review (HBR) article \u201c<a href=\"http:\/\/hbr.org\/2023\/07\/how-to-train-generative-ai-using-your-companys-data\" target=\"_blank\" rel=\"noopener nofollow\" class=\"external external_icon\">How to Train Generative AI Using Your Company\u2019s Data<\/a>\u201d notes that crafting an LLM from scratch necessitates not only massive quantities of high-quality data but also considerable data science skills and significant computing power. One example of a home-grown LLM is BloombergGPT, which Bloomberg data scientists built with 700 billion tokens (approximately 350 billion words, 50 billion parameters and 1.3 million hours of graphics processing unit time).<\/p>\n<p>\u201cFew companies have those resources available,\u201d the HBR article notes.<\/p>\n<h2>Options for organizations with limited AI training data<\/h2>\n<p>If you want to create a customized LLM based on your organization\u2019s data but don\u2019t have the data to train it from scratch, you have a few other options, according to the HBR. One is adjusting the parameters of a pre-existing base model, which usually only necessitates hundreds or thousands of documents instead of millions or billions. Another approach involves tuning a pre-existing LLM with prompts so it can respond to questions specific to your company or industry.<\/p>\n<p>Additionally, you can partner with an AI solution supplier or <a href=\"https:\/\/www.stratospherenetworks.com\/managed-it-services.html\" target=\"_blank\" rel=\"noopener\">managed IT service<\/a> provider that has already created models specific to the desired workflows or your industry based on data from their client base. This allows you to benefit from customized AI models even if you lack the resources to create one internally.<\/p>\n<p>Our <a href=\"https:\/\/www.stratospherenetworks.com\/trusted-advisor.html\" target=\"_blank\" rel=\"noopener\">trusted technology advisors<\/a> can help you craft an AI strategy that aligns with your organization\u2019s unique needs and objectives. We maintain partnerships with leading suppliers of genAI tools and can assist you in streamlining operations across various departments, including your contact center, customer service, sales and marketing, IT support, facilities and human resources.<\/p>\n<p>Additionally, we can grant you access to an AI success kit from one of our partners with tools to kickstart your journey, in-depth analyst reports, a genAI use policy template, and other valuable resources.<\/p>\n<p>Start today by calling 877-599-3999 or emailing <a href=\"mailto:sales@stratospherenetworks.com\" target=\"_blank\" rel=\"noopener\">sales@stratospherenetworks.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If advancing your company\u2019s adoption of generative artificial intelligence (genAI) is one of your primary areas of focus for 2025, you\u2019re not alone: 75 percent of executives consider AI\/genAI one of their top three strategic priorities this year, according to &hellip; <a href=\"https:\/\/www.stratospherenetworks.com\/blog\/ai-training-data-how-much-do-you-need\/\">Read more <span class=\"meta-nav\">><\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":6756,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[261],"tags":[],"class_list":["post-6755","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-tips-from-the-president"],"yoast_head":"<title>Do you have enough AI training data?<\/title>\n<meta name=\"description\" content=\"Creating a customized genAI tool necessitates large volumes of AI training data. 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