{"id":12810,"date":"2022-11-05T09:31:11","date_gmt":"2022-11-05T13:31:11","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12810"},"modified":"2022-11-05T09:31:11","modified_gmt":"2022-11-05T13:31:11","slug":"the-biggest-bottleneck-for-large-language-model-startups-is-ux","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-biggest-bottleneck-for-large-language-model-startups-is-ux\/12810\/","title":{"rendered":"The Biggest Bottleneck for Large Language Model Startups is UX"},"content":{"rendered":"Originally published in Innovation Endeavors, Nov 1, 2022.\u00a0 Applied large language model startups have exploded in the past year. Enormous advances in underlying language modeling technology, coupled with the early success of products like Github CoPilot, have led to a huge array of founders using LLMs to rethink workflows ranging from\u00a0code reviews\u00a0to\u00a0copywriting\u00a0to analyzing\u00a0unstructured product feedback. Much has been written about this emerging ecosystem \u2014 I would recommend the excellent articles by\u00a0Elad Gil,\u00a0Leigh Marie Braswell, and\u00a0Vinay Iyengar\u00a0as starting points \u2014 and in general, it is exciting to see so many nascent startups in this area. However, I worry that <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-biggest-bottleneck-for-large-language-model-startups-is-ux\/12810\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Innovation Endeavors, Nov 1, 2022.\u00a0 Applied large language model startups have exploded in the past year. Enormous advances in underlying language modeling technology, coupled with the early success of products like Github CoPilot, have led to a huge array of founders using LLMs to rethink workflows ranging from\u00a0code reviews\u00a0to\u00a0copywriting\u00a0to analyzing\u00a0unstructured product feedback. [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[791,1198,1267,243,8],"class_list":["post-12810","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-deep-learning","tag-language-models","tag-large-language-models","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12810","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12810"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12810\/revisions"}],"predecessor-version":[{"id":12811,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12810\/revisions\/12811"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12810"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12810"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12810"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}