{"id":10334,"date":"2024-02-27T12:36:31","date_gmt":"2024-02-27T12:36:31","guid":{"rendered":"https:\/\/dailyai.com\/?p=10334"},"modified":"2024-02-27T12:58:37","modified_gmt":"2024-02-27T12:58:37","slug":"mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/02\/mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4\/","title":{"rendered":"Mistral AI frigiver ny model og chatbot til at tage kampen op med GPT-4"},"content":{"rendered":"<p><strong>Den franske startup Mistral AI udgav en chatbot og dens flagskib, en stor sprogmodel (LLM) kaldet Mistral Large, som kommer ret t\u00e6t p\u00e5 GPT-4-ydelse.<\/strong><\/p>\n<p>Mistral AI's himmelflugt skabte overskrifter i december, da den opn\u00e5ede en <a href=\"https:\/\/dailyai.com\/da\/2023\/12\/the-rise-of-the-french-ai-startup-mistral\/\">$2b-v\u00e6rdians\u00e6ttelse<\/a> mindre end seks m\u00e5neder efter grundl\u00e6ggelsen. Det er letv\u00e6gts open source <a href=\"https:\/\/dailyai.com\/da\/2023\/12\/mixture-of-experts-and-sparsity-hot-ai-topics-explained\/\">Mixtral 8x7B<\/a> LLM vakte opsigt ved at sl\u00e5 st\u00f8rre konkurrenter som Meta's Llama 2 34B.<\/p>\n<p>Der er ingen detaljer om, hvor mange parametre Mistral Large har, men de benchmark-tal, Mistral AI har offentliggjort, viser, at den nye model sl\u00e5r Claude 2, Gemini Pro og Llama 2-70B. Dens 32k kontekstvindue er mindre end nogle af disse modeller, men det svarer stadig til omkring 20.000 ord.<\/p>\n<figure id=\"attachment_10336\" aria-describedby=\"caption-attachment-10336\" style=\"width: 957px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10336\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot.png\" alt=\"\" width=\"957\" height=\"485\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot.png 957w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot-300x152.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot-768x389.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot-370x188.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot-800x405.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot-740x375.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot-20x10.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/mistral-large-bar-plot-95x48.png 95w\" sizes=\"auto, (max-width: 957px) 100vw, 957px\" \/><figcaption id=\"caption-attachment-10336\" class=\"wp-caption-text\">Sammenligning af GPT-4, Mistral Large (pr\u00e6tr\u00e6net), Claude 2, Gemini Pro 1.0, GPT 3.5 og LLaMA 2 70B p\u00e5 MMLU (Measuring massive multitask language understanding). Kilde: Mistral AI<\/figcaption><\/figure>\n<p>OpenAI's GPT-4 er fortsat den gyldne standard for sammenligning af LLM-ydelse, og Mistral Large er ret t\u00e6t p\u00e5 at matche den i en r\u00e6kke benchmarks.<\/p>\n<figure id=\"attachment_10337\" aria-describedby=\"caption-attachment-10337\" style=\"width: 1216px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10337\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png.png\" alt=\"\" width=\"1216\" height=\"397\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png.png 1216w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-300x98.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-1024x334.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-768x251.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-370x121.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-800x261.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-740x242.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-20x7.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/reasoning-table-png-147x48.png 147w\" sizes=\"auto, (max-width: 1216px) 100vw, 1216px\" \/><figcaption id=\"caption-attachment-10337\" class=\"wp-caption-text\">Benchmark-sammenligning af Mistral Large med andre f\u00f8rende modeller. Kilde: Mistral AI<\/figcaption><\/figure>\n<p>Prismodellen for API-adgang til Mistral Large er endnu et skud i b\u00f8ssen for OpenAI. En foresp\u00f8rgsel p\u00e5 Mistral Large koster $8 pr. million input-tokens og $24 pr. million output-tokens. Det er 20% billigere end det, OpenAI tager for at foresp\u00f8rge p\u00e5 GPT-4.<\/p>\n<p>Mistral AI er en stor tilh\u00e6nger af open source-modeller, men i mods\u00e6tning til Mixtral 8x7B er de nye modeller kun udgivet med API-adgang.<\/p>\n<h2>Le Chat<\/h2>\n<p>Mistral AI annoncerede ogs\u00e5 en betaudgave af sin chatbot kaldet Le Chat. Samtalechatbotten giver brugerne mulighed for at opleve svar fra Mistral Large, men giver ogs\u00e5 adgang til Mistral AI's nye mindre modeller, Mistral Small og Mistral Next.<\/p>\n<p>De to sidstn\u00e6vnte LLM'er tilbyder mere kortfattede og billigere interaktioner. Mistral Small klarer sig bedre end Mixtral 8x7B og har lavere latenstid.<\/p>\n<p>Mistral AI siger, at de har fors\u00f8gt at g\u00f8re deres modeller \"s\u00e5 nyttige og s\u00e5 lidt fordomsfulde som muligt\". Virksomheden siger, at le Chat med sin \"justerbare moderationsmekanisme p\u00e5 systemniveau advarer dig p\u00e5 en ikke-invasiv m\u00e5de, n\u00e5r du skubber samtalen i retninger, hvor assistenten kan producere f\u00f8lsomt eller kontroversielt indhold.\"<\/p>\n<p>S\u00e5 forvent lidt mindre wokeness, end Gemini kan levere. Du kan pr\u00f8ve Le Chat <a href=\"https:\/\/chat.mistral.ai\/chat\" target=\"_blank\" rel=\"noopener\">her<\/a>.<\/p>\n<h2>Microsofts godkendelse<\/h2>\n<p>Selv om Microsoft er den st\u00f8rste \u00f8konomiske bidragyder til OpenAI, har virksomheden stillet flere andre modeller til r\u00e5dighed p\u00e5 sine platforme. Samtidig med udgivelsen af Mistral Large meddelte Microsoft, at de indgik et fler\u00e5rigt partnerskab med Mistral AI, og at de ville stille deres Azure-platform til r\u00e5dighed for Mistral AI, s\u00e5 de kunne udvikle og implementere deres modeller.<\/p>\n<p>Mistral AI's CEO Arthur Mensch siger: \"Vi er begejstrede for at indlede dette partnerskab med Microsoft. Med Azures banebrydende AI-infrastruktur n\u00e5r vi en ny milep\u00e6l i vores ekspansion, der driver vores innovative forskning og praktiske anvendelser frem til nye kunder overalt.\"<\/p>\n<p>Med udgivelsen af nye Gemini-modeller og Mistral Large lige i h\u00e6lene p\u00e5 GPT-4 m\u00e5 man sp\u00f8rge sig selv, om udgivelsen af GPT-5 er n\u00e6rt forest\u00e5ende. Hvis Mistral AI tilf\u00f8jer multimodal funktionalitet til Mistral Large, vil prisen g\u00f8re den til en stor trussel mod OpenAI.<\/p>","protected":false},"excerpt":{"rendered":"<p>Den franske startup Mistral AI udgav en chatbot og sin flagskibs store sprogmodel (LLM) kaldet Mistral Large, som kommer ret t\u00e6t p\u00e5 GPT-4-ydeevne. Mistral AI's rivende udvikling skabte overskrifter i december, da den opn\u00e5ede en v\u00e6rdians\u00e6ttelse p\u00e5 $2b mindre end seks m\u00e5neder efter grundl\u00e6ggelsen. Den lette open source Mixtral 8x7B LLM skabte en vis sp\u00e6nding ved at sl\u00e5 st\u00f8rre konkurrenter som Meta's Llama 2 34B. Der er ingen detaljer om, hvor mange parametre Mistral Large har, men de benchmark-tal, Mistral AI har offentliggjort, viser, at den nye model sl\u00e5r Claude 2, Gemini Pro og Llama 2-70B. Dens 32k kontekstvindue er<\/p>","protected":false},"author":6,"featured_media":8208,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[118,121,496],"class_list":["post-10334","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llms","tag-microsoft","tag-mistral"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mistral AI releases new model and chatbot to take on GPT-4 | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2024\/02\/mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mistral AI releases new model and chatbot to take on GPT-4 | DailyAI\" \/>\n<meta property=\"og:description\" content=\"French startup Mistral AI released a chatbot and its flagship large language model (LLM) called Mistral Large, which gets pretty close to GPT-4 performance. The meteoric rise of Mistral AI made headlines in December when it achieved a $2b valuation less than six months after being founded. It\u2019s lightweight open-source Mixtral 8x7B LLM caused some excitement by beating bigger competitors like Meta\u2019s Llama 2 34B. There\u2019s no detail on how many parameters Mistral Large has but the benchmark figures Mistral AI published show that its new model beats Claude 2, Gemini Pro, and Llama 2-70B. 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