{"id":33975,"date":"2023-11-23T03:00:00","date_gmt":"2023-11-23T11:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33975"},"modified":"2023-11-21T14:55:16","modified_gmt":"2023-11-21T22:55:16","slug":"new-report-the-definitive-guide-to-large-language-models-and-high-performance-marketing-content","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/11\/23\/new-report-the-definitive-guide-to-large-language-models-and-high-performance-marketing-content\/","title":{"rendered":"New Report: The Definitive Guide to Large Language Models and High-Performance Marketing Content"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignright size-full is-resized\"><img decoding=\"async\" loading=\"lazy\" width=\"343\" height=\"244\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/11\/Phrasee_logo.png\" alt=\"\" class=\"wp-image-33976\" style=\"aspect-ratio:1.4057377049180328;width:271px;height:auto\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/11\/Phrasee_logo.png 343w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/11\/Phrasee_logo-300x213.png 300w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/11\/Phrasee_logo-150x107.png 150w\" sizes=\"(max-width: 343px) 100vw, 343px\" \/><\/figure><\/div>\n\n\n<p>November 30 marks one year since ChatGPT was introduced to our lives. Since then, large language models (LLMs) have been ushering in a whole new era of marketing innovation. And as brands increasingly rely on AI for content generation, they are uncovering newfound limitations, and are now faced with two options:<\/p>\n\n\n\n<ul>\n<li>Use a 3rd party solution<\/li>\n\n\n\n<li>Develop an in-house solution using commercial or open-source LLM<\/li>\n<\/ul>\n\n\n\n<p><a href=\"https:\/\/phrasee.co\/\" target=\"_blank\" rel=\"noreferrer noopener\">Phrasee<\/a>, a leading innovator in brand language optimization, just released a&nbsp;new white paper&nbsp;&#8220;<a href=\"https:\/\/phrasee.co\/resources\/large-language-models-and-high-performance-marketing\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Definitive Guide to Large Language Models and High-Performance Marketing Content<\/a>,&#8221; on how enterprise marketers can build an in-house LLM solution and use it at its full potential.<\/p>\n\n\n\n<p>Toby Coulthard, CPO at Phrasee, explains:<\/p>\n\n\n\n<p><em>\u201cThere is uncertainty about the long-term capabilities of large language models. LLMs have to scrape the internet and learn from copyright data. As we go through more litigations in the space, the database will start to grow smaller, limiting LLM performance. If you are basing your technology on one model, it may encounter challenges, such as being down for an hour or having these regulated capabilities. Yet despite these challenges, it\u2019s true that LLMs provide creative value and save time on generating content.&nbsp;<\/em><\/p>\n\n\n\n<p><em>Many companies who depend on one model have to face the pitfalls of an LLM plus the costs on top of it. It\u2019s important to have control, reliability, and scalability within your content generation. The solution is being model agnostic, with a hybrid approach to creating the best tools for a job. That might mean having multiple LLMs to mitigate the pitfalls of one, or having rule-based natural language generation that might be less creative, but also doesn\u2019t hallucinate.\u201d&nbsp;<\/em><\/p>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a href=\"http:\/\/inside-bigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\n\n\n\n<p><em>Join us on Twitter:&nbsp;<a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on LinkedIn:&nbsp;<a href=\"https:\/\/www.linkedin.com\/company\/insidebigdata\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.linkedin.com\/company\/insidebigdata\/<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on Facebook:&nbsp;<a href=\"https:\/\/www.facebook.com\/insideBIGDATANOW\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Phrasee, a leading innovator in brand language optimization, just released a new white paper &#8220;The Definitive Guide to Large Language Models and High-Performance Marketing Content,&#8221; on how enterprise marketers can build an in-house LLM solution and use it at its full potential.<\/p>\n","protected":false},"author":10513,"featured_media":32763,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,182,180,67,268,56,84,1],"tags":[1248,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>New Report: The Definitive Guide to Large Language Models and High-Performance Marketing Content - insideBIGDATA<\/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:\/\/insidebigdata.com\/2023\/11\/23\/new-report-the-definitive-guide-to-large-language-models-and-high-performance-marketing-content\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New Report: The Definitive Guide to Large Language Models and High-Performance Marketing Content - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Phrasee, a leading innovator in brand language optimization, just released a new white paper &quot;The Definitive Guide to Large Language Models and High-Performance Marketing Content,&quot; 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Additionally, they have been able to generate\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/GenerativeAI_shutterstock_2284999159_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33649,"url":"https:\/\/insidebigdata.com\/2023\/10\/14\/survey-massive-retooling-around-large-language-models-underway\/","url_meta":{"origin":33975,"position":3},"title":"Survey: Massive Retooling Around Large Language Models Underway","date":"October 14, 2023","format":false,"excerpt":"A recent survey\u00a0of data scientists and engineers revealed that over half (53.3%) of today\u2019s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production \u201cwithin the next 12 months\u201d or \u201cas soon as possible\u201d. 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