{"id":3233,"date":"2024-01-26T09:27:41","date_gmt":"2024-01-26T01:27:41","guid":{"rendered":"https:\/\/www.1ai.net\/?p=3233"},"modified":"2024-01-26T09:27:41","modified_gmt":"2024-01-26T01:27:41","slug":"%e6%be%9c%e8%88%9f%e7%a7%91%e6%8a%80%e5%ad%9f%e5%ad%90%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%bc%80%e6%94%be%e5%85%ac%e4%bc%97%e6%9c%8d%e5%8a%a1-%e4%b8%8a%e7%ba%bf%e5%9b%9b%e6%ac%be%e5%a4%a7%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/3233.html","title":{"rendered":"Lanzhou Technology Mencius Big Model Opens Public Service and Launches Four Big Model Products"},"content":{"rendered":"

recently,Lanzhou Technology<\/a>Mencius GPT Large Model<\/a>Officially generated artificial intelligence files are available to the public. This time open to the outside world, four large model products are programmed by Monko-Mounty, Monko-Moon-Standard, Monko-Mounty-Finance and Monko-Moon\u3002<\/p>\n

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  1. Mencius Large Model-Lightweight<\/strong>: It provides basic capabilities such as language understanding and multi-round dialogue. It is suitable for scenarios that are sensitive to call cost and generation speed and have relatively simple tasks, such as chat dialogues, common sense question and answer, summary and other tasks.<\/li>\n
  2. Mencius Large Model-Standard<\/strong>:With powerful natural language processing capabilities, it can better support various complex tasks such as role-playing, reading comprehension, copywriting, multi-round conversations, etc., helping enterprises and developers accelerate digital transformation.<\/li>\n
  3. Mencius Large Model-Finance<\/strong>: It has been deeply trained and optimized for the financial field. It is good at answering users' questions on topics related to financial markets, investment and financial management, and can also write market analysis articles and research reports to complete in-depth processing of financial information.<\/li>\n
  4. Mencius Big Model - Programming<\/strong>: Supports more than 100 programming languages. Optimized for financial programming tasks, it maintains general programming capabilities while also performing well in tasks such as data analysis, financial indicator calculations, and Text2SQL. At the same time, it has added the ability to write software development requirements documents, covering document writing at all stages of the software life cycle.<\/li>\n<\/ol>\n<\/blockquote>\n

    In addition, Lanzhou Technology has also launched a new AI document question-and-answer function. This function is based on the Mencius large model technology, which can help users easily read various documents and efficiently obtain the required information through dialogue with the AI assistant, thereby improving work efficiency and decision-making ability. The AI document question-and-answer function is applicable to a variety of scenarios, such as answering questions about regulations and rules, interpreting papers, analyzing market reports, and interpreting policies.<\/p>\n

    For developers, Lanzhou Technology also provides free API services, and new users can enjoy a free quota of 4 million tokens.<\/p>\n

    Experience address:https:\/\/www.langboat.com\/product\/mchat<\/strong><\/p>","protected":false},"excerpt":{"rendered":"

    IN RECENT DAYS, A LARGE MODEL OF ZHANGZHOU TECHNOLOGY, MENGKO GPT, HAS BEEN OFFICIALLY GENERATED THROUGH A WEB-BASED MAIL, AND IS NOW OFFICIALLY OPEN TO THE PUBLIC. THIS TIME OPEN TO THE OUTSIDE WORLD, FOUR LARGE MODEL PRODUCTS ARE PROGRAMMED BY MONKO-MOUNTY, MONKO-MOON-STANDARD, MONKO-MOUNTY-FINANCE AND MONKO-MOON. MONKO-MONG MODEL -- LIGHT: PROVIDES BASIC SKILLS SUCH AS LANGUAGE UNDERSTANDING, MULTI-WHEEL DIALOGUE, WHICH ARE APPLIED TO SITUATIONS THAT ARE MORE SENSITIVE TO THE COST OF CALL AND THE SPEED OF GENERATION, AND WHERE THE TASK IS SIMPLER, SUCH AS CHAT SESSIONS, COMMON SENSE QUESTIONS AND ANSWERS, SUMMARIES, ETC. MONKO MAGNA-STANDARD: STRONG NATURAL LANGUAGE PROCESSING SKILLS THAT BETTER SUPPORT ROLE PLAY, READING UNDERSTANDING, WRITING, MULTI-CYCLE DIALOGUE, ETC<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[216,793],"collection":[],"class_list":["post-3233","post","type-post","status-publish","format-standard","hentry","category-news","tag-216","tag-793"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3233","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=3233"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3233\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=3233"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=3233"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=3233"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=3233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}