{"id":6479,"date":"2024-03-28T09:35:31","date_gmt":"2024-03-28T01:35:31","guid":{"rendered":"https:\/\/www.1ai.net\/?p=6479"},"modified":"2024-03-28T09:35:31","modified_gmt":"2024-03-28T01:35:31","slug":"%e5%88%9b%e6%96%b0%e5%a5%87%e6%99%ba%e5%8f%91%e5%b8%83%e5%a5%87%e6%99%ba%e5%ad%94%e6%98%8e%e5%b7%a5%e4%b8%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b2-0%e7%89%88%e6%9c%acainno-75b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/6479.html","title":{"rendered":"Innovation AInno releases AInno-75B, the 2.0 version of the AInno Kongming industrial model"},"content":{"rendered":"<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%88%9b%e6%96%b0%e5%a5%87%e6%99%ba\" title=\"[Sees articles with [Innovation Wonder] labels]\" target=\"_blank\" >Innovation<\/a>Today, the Qizhi Kongming was released<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%b7%a5%e4%b8%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"[Sees articles with labels of the Great Industrial Model]\" target=\"_blank\" >Industrial large model<\/a>Version 2.0 (AInno-75B) and several large model native applications.<\/p>\n<p>After this upgrade, the number of parameters of the industrial large model has reached more than 75 billion, achieving a new breakthrough. It has not only consolidated industrial knowledge question and answer, data analysis, code generation, task scheduling, etc., but also enhanced the capabilities in massive knowledge management, complex logical reasoning, long-process task scheduling, and Agent intelligence.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-6480\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/03\/6384715789385506853918544.jpg\" alt=\"\" width=\"1000\" height=\"431\" \/><\/p>\n<p>In addition to industrial big models, AInnovation has also launched a series of native applications based on big model technology, such as ChatVision, a generative enterprise private domain visual insight application that can analyze monitoring images in real time, identify non-compliant behaviors and trigger an alarm system.<\/p>\n<p>In addition, the ChatCAD generative assisted industrial design application introduces large model technology into the field of industrial design, realizing the generation of industrial design drawings in the form of dialogue and question-answering. In addition, the ChatRobot generative industrial robot scheduling application provides long-sequence task scheduling and complex decision-making drive, giving industrial robots intelligent control and decision-making capabilities.<\/p>","protected":false},"excerpt":{"rendered":"<p>Innovation Qiji today released the Qiji Kongming Industrial Big Model version 2.0 (AInno-75B) as well as several big model native applications. The upgraded industrial big model parameter count reaches more than 75 billion, realizing a new breakthrough, which not only consolidates industrial knowledge quiz, data analysis, code generation, task scheduling, etc., but also strengthens the capabilities of massive knowledge management, complex logic reasoning, long process task scheduling, Agent intelligent body, etc. In addition to industrial big models, InnoQiZhi has also launched a series of native applications based on big model technology, such as ChatVision generative enterprise private visual insight application, which can analyze surveillance images in real time, identify non-compliant behaviors, and trigger an alert system. In addition, ChatCAD generative assisted industrial design application<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[1908,1907],"collection":[],"class_list":["post-6479","post","type-post","status-publish","format-standard","hentry","category-news","tag-1908","tag-1907"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/6479","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=6479"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/6479\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=6479"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=6479"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=6479"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=6479"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}