{"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\/nb\/2024\/02\/mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4\/","title":{"rendered":"Mistral AI lanserer ny modell og chatbot for \u00e5 ta opp kampen med GPT-4"},"content":{"rendered":"<p><strong>Den franske oppstartsbedriften Mistral AI lanserte en chatbot og sin flaggskipmodell for store spr\u00e5kmodeller (LLM) kalt Mistral Large, som kommer ganske n\u00e6r GPT-4-ytelse.<\/strong><\/p>\n<p>Mistral AIs kometkarriere skapte overskrifter i desember da selskapet oppn\u00e5dde en <a href=\"https:\/\/dailyai.com\/nb\/2023\/12\/the-rise-of-the-french-ai-startup-mistral\/\">$2b-verdsettelse<\/a> mindre enn seks m\u00e5neder etter at det ble grunnlagt. Det er en lett \u00e5pen kildekode <a href=\"https:\/\/dailyai.com\/nb\/2023\/12\/mixture-of-experts-and-sparsity-hot-ai-topics-explained\/\">Mixtral 8x7B<\/a> LLM skapte litt spenning ved \u00e5 sl\u00e5 st\u00f8rre konkurrenter som Meta's Llama 2 34B.<\/p>\n<p>Det er ingen detaljer om hvor mange parametere Mistral Large har, men referansetallene Mistral AI har publisert, viser at den nye modellen sl\u00e5r Claude 2, Gemini Pro og Llama 2-70B. Kontekstvinduet p\u00e5 32 000 er mindre enn noen av disse modellene, men det tilsvarer fortsatt rundt 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 av GPT-4, Mistral Large (forh\u00e5ndstrenet), Claude 2, Gemini Pro 1.0, GPT 3.5 og LLaMA 2 70B p\u00e5 MMLU (Measuring massive multitask language understanding). Kilde: Mistral AI: Mistral AI<\/figcaption><\/figure>\n<p>OpenAIs GPT-4 er fortsatt den gylne standarden for sammenligning av LLM-ytelse, og Mistral Large er ganske n\u00e6r ved \u00e5 matche den i en rekke referanseindekser.<\/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\">Sammenligning av Mistral Large med andre ledende modeller. Kilde: Mistral AI Mistral AI<\/figcaption><\/figure>\n<p>Prismodellen for API-tilgang til Mistral Large er nok et skudd for OpenAIs d\u00f8r. \u00c5 sp\u00f8rre Mistral Large koster $8 per million input-tokens og $24 per million output-tokens. Det er 20% billigere enn hva OpenAI tar for \u00e5 sp\u00f8rre GPT-4.<\/p>\n<p>Mistral AI er en stor tilhenger av modeller med \u00e5pen kildekode, men i motsetning til Mixtral 8x7B har de nye modellene kun blitt lansert med API-tilgang.<\/p>\n<h2>Le Chat<\/h2>\n<p>Mistral AI kunngjorde ogs\u00e5 en betaversjon av chatboten Le Chat. Chatboten lar brukerne oppleve svar fra Mistral Large, men gir ogs\u00e5 tilgang til Mistral AIs nye, mindre modeller, Mistral Small og Mistral Next.<\/p>\n<p>De to sistnevnte LLM-ene tilbyr mer konsise og billigere interaksjoner. Mistral Small utkonkurrerer Mixtral 8x7B og har lavere latenstid.<\/p>\n<p>Mistral AI sier at de har fors\u00f8kt \u00e5 gj\u00f8re modellene sine \"s\u00e5 nyttige og s\u00e5 lite meningsb\u00e6rende som mulig\". Selskapet sier at med sin \"justerbare modereringsmekanisme p\u00e5 systemniv\u00e5, advarer le Chat deg p\u00e5 en ikke-invasiv m\u00e5te n\u00e5r du presser samtalen i retninger der assistenten kan produsere sensitivt eller kontroversielt innhold.\"<\/p>\n<p>S\u00e5 forvent litt mindre wokeness enn Gemini kan levere. Du kan pr\u00f8ve Le Chat ut <a href=\"https:\/\/chat.mistral.ai\/chat\" target=\"_blank\" rel=\"noopener\">her<\/a>.<\/p>\n<h2>Microsoft-godkjenning<\/h2>\n<p>Selv om Microsoft er den st\u00f8rste \u00f8konomiske st\u00f8ttespilleren til OpenAI, har selskapet gjort flere andre modeller tilgjengelige p\u00e5 sine plattformer. Samtidig med lanseringen av Mistral Large kunngjorde Microsoft at de inngikk et fler\u00e5rig partnerskap med Mistral AI, og at de ville gj\u00f8re Azure-plattformen tilgjengelig for Mistral AI, slik at selskapet kunne utvikle og distribuere modellene sine.<\/p>\n<p>Mistral AIs administrerende direkt\u00f8r Arthur Mensch sier: \"Vi er begeistret over \u00e5 inng\u00e5 dette partnerskapet med Microsoft. Med Azures banebrytende AI-infrastruktur n\u00e5r vi en ny milep\u00e6l i v\u00e5r ekspansjon, og vi kan n\u00e5 ut med v\u00e5r innovative forskning og praktiske anvendelser til nye kunder over hele verden.\"<\/p>\n<p>Med lanseringen av nye Gemini-modeller og Mistral Large rett i h\u00e6lene p\u00e5 GPT-4, kan man lure p\u00e5 om lanseringen av GPT-5 er n\u00e6rt forest\u00e5ende. Hvis Mistral AI legger til multimodal funksjonalitet i Mistral Large, vil prisen gj\u00f8re det til en stor trussel mot OpenAI.<\/p>","protected":false},"excerpt":{"rendered":"<p>Den franske oppstartsbedriften Mistral AI lanserte en chatbot og sin flaggskipmodell for store spr\u00e5kmodeller (LLM) kalt Mistral Large, som kommer ganske n\u00e6r GPT-4-ytelse. Mistral AIs kometkarriere skapte overskrifter i desember da selskapet oppn\u00e5dde en verdsettelse p\u00e5 $2b mindre enn seks m\u00e5neder etter at det ble grunnlagt. Den lette open-source Mixtral 8x7B LLM med \u00e5pen kildekode skapte en viss begeistring ved \u00e5 sl\u00e5 st\u00f8rre konkurrenter som Metas Llama 2 34B. Det er ingen detaljer om hvor mange parametere Mistral Large har, men referansetallene Mistral AI publiserte viser at den nye modellen sl\u00e5r Claude 2, Gemini Pro og Llama 2-70B. Dens 32k kontekstvindu 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 v27.3 - 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\/nb\/2024\/02\/mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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. Its 32k context window is\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/nb\/2024\/02\/mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-02-27T12:36:31+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-02-27T12:58:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/Mistral-AI.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"750\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet av\" 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