{"id":13958,"date":"2024-05-31T14:09:46","date_gmt":"2024-05-31T11:09:46","guid":{"rendered":"https:\/\/forklog.com\/en\/mistral-ai-unveils-code-generating-ai-model\/"},"modified":"2024-05-31T14:09:46","modified_gmt":"2024-05-31T11:09:46","slug":"mistral-ai-unveils-code-generating-ai-model","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/mistral-ai-unveils-code-generating-ai-model\/","title":{"rendered":"Mistral AI Unveils Code-Generating AI Model"},"content":{"rendered":"<p>Paris-based project Mistral AI <a href=\"https:\/\/mistral.ai\/news\/codestral\/\">has introduced<\/a> Codestral, an artificial intelligence model designed for code generation.<\/p>\n<p>The neural network has been trained on a dataset comprising over 80 programming languages, including popular ones like Python, Java, C, C++, and JavaScript, as well as less common ones such as Swift and Fortran.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cCodestral saves developers time and effort: it can perform coding functions, write tests, and complete any partial code [\u2026]. Interaction with Codestral can enhance a developer&#8217;s programming level and reduce the risk of errors,\u201d the statement said.<\/p>\n<\/blockquote>\n<p>Codestral boasts 22 billion parameters and surpasses competitors on several criteria.<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/forklog.com\/wp-content\/uploads\/Snimok-ekrana-2024-05-31-v-13.33.10.webp\" alt=\"Snimok-ekrana-2024-05-31-v-13.33.10\" class=\"wp-image-233844\"\/><figcaption class=\"wp-element-caption\">Data: Mistral AI.<\/figcaption><\/figure>\n<p>The model is described as \u201copen,\u201d though there are caveats. The agreement prohibits its use in any commercial activity or \u201cin the context of an organization&#8217;s business activities.\u201d<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/forklog.com\/wp-content\/uploads\/Snimok-ekrana-2024-05-31-v-13.29.30.webp\" alt=\"Snimok-ekrana-2024-05-31-v-13.29.30\" class=\"wp-image-233845\"\/><figcaption class=\"wp-element-caption\">Data: Mistral AI.<\/figcaption><\/figure>\n<p>In November 2023, the startup raised $385 million in a funding round led by Andreessen Horowitz and Lightspeed Ventures. The funds were intended for the development of open-source software and to create a competitor to American tech companies.<\/p>\n<p>In February 2024, Microsoft announced a long-term partnership with Mistral AI. The investment <a href=\"https:\/\/forklog.com\/en\/news\/microsoft-commits-2-1-billion-to-mistral-ai-partnership\">amounted to $2.1 billion<\/a>.<\/p>\n<p>Earlier in March, startup CognitionAI <a href=\"https:\/\/forklog.com\/en\/news\/cognitionai-unveils-ai-model-for-prompt-based-website-and-game-creation\">unveiled the AI assistant Devin<\/a>, capable of generating complex code for websites or games based on prompts.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Paris-based project Mistral AI has introduced Codestral, an artificial intelligence model designed for code generation. The neural network has been trained on a dataset comprising over 80 programming languages, including popular ones like Python, Java, C, C++, and JavaScript, as well as less common ones such as Swift and Fortran. \u201cCodestral saves developers time and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"","news_style_id":"","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,1477],"class_list":["post-13958","post","type-post","status-publish","format-standard","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-mistral"],"aioseo_notices":[],"amp_enabled":true,"views":"33","promo_type":"","layout_type":"","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/13958","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=13958"}],"version-history":[{"count":0,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/13958\/revisions"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=13958"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=13958"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=13958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}