{"id":19665,"date":"2024-09-10T09:26:54","date_gmt":"2024-09-10T01:26:54","guid":{"rendered":"https:\/\/www.1ai.net\/?p=19665"},"modified":"2024-09-10T09:26:54","modified_gmt":"2024-09-10T01:26:54","slug":"%e9%a1%ba%e4%b8%b0%e5%8f%91%e5%b8%83%e4%b8%b0%e8%af%ad%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%ef%bc%9a%e6%91%98%e8%a6%81%e5%87%86%e7%a1%ae%e7%8e%87%e8%b6%85-95%ef%bc%8c","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/19665.html","title":{"rendered":"Shunfeng Releases \"Feng Language\" Large Language Model: Abstract Accuracy Rate Exceeds 95%, Claims Logistics Pendant Domain Capability Beyond Generalized Models"},"content":{"rendered":"<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e9%a1%ba%e4%b8%b0\" title=\"[Sees articles with [sunfung] labels]\" target=\"_blank\" >conveniently<\/a>Technology yesterday unveiled the logistics industry vertical at the Shenzhen International Artificial Intelligence Exhibition<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [large language model]]\" target=\"_blank\" >Large Language Model<\/a>\"The language of abundance\".<\/p>\n<p>Jiang Shengpei, technical director of Shunfeng Technology's large model, said that Shunfeng has self-researched the industry's vertical domain large language model under the idea of comprehensively considering the balance of effect and cost of use. In terms of training data, the<strong>About 20% of the training data of FengYin is the vertical data related to logistics supply chain of SF and the industry.<\/strong>.<\/p>\n<p>The current large model-based<strong>Summary accuracy has exceeded 95%<\/strong>The average length of time it takes for a customer service agent to process a conversation with a customer has been reduced by 30%; for courier boy<strong>Problems are localized with an accuracy of more than 98%<\/strong>The average session saves the little man 3 minutes.<\/p>\n<p>In the face of multinational terms and conditions and various languages, \"Fenglanguage\" large language model can determine whether the goods meet the customs clearance standards of the relevant countries, and at the same time can standardize the declared name according to the relevant requirements, and through the high-fidelity camera to determine whether the goods can be sent across the border.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-19666\" title=\"22d6e18cj00sjkpac003zd000tz00gvm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/09\/22d6e18cj00sjkpac003zd000tz00gvm.jpg\" alt=\"22d6e18cj00sjkpac003zd000tz00gvm\" width=\"1079\" height=\"607\" \/><\/p>\n<p>Shunfeng has established a measurement system for large models in the logistics field, claiming that it has realized a comprehensive transcendence in the logistics pendant domain with smaller size models to larger size general models.<\/p>","protected":false},"excerpt":{"rendered":"<p>Shunfeng Technology yesterday in Shenzhen International Artificial Intelligence Exhibition released the logistics industry vertical domain big language model \"Feng language\". Jiang Shengpei, technical director of large model of SF Technology, said that SF has self-researched the industry's vertical domain large language model under the idea of comprehensive consideration of the balance of effect and cost of use. In terms of training data, Feng language about 20% of training data is Shunfeng and the industry's logistics supply chain related vertical domain data. At present, the accuracy of the summary based on the big model has exceeded 95%, and the average processing time of customer service personnel after dialoguing with customers has been reduced by 30%; the accuracy of the positioning of the problem of the courier boy has exceeded 98%, and the boy can be saved for an average of 3 minutes per conversation. When facing multinational terms and conditions and various languages, the large language model of \"Fenglang\" can determine whether the items meet the requirements of the relevant countries.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[706,4323],"collection":[],"class_list":["post-19665","post","type-post","status-publish","format-standard","hentry","category-news","tag-706","tag-4323"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/19665","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=19665"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/19665\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=19665"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=19665"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=19665"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=19665"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}