{"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\/de\/2024\/02\/mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4\/","title":{"rendered":"Mistral AI ver\u00f6ffentlicht ein neues Modell und einen Chatbot f\u00fcr den Kampf gegen GPT-4"},"content":{"rendered":"<p><strong>Das franz\u00f6sische Startup-Unternehmen Mistral AI hat einen Chatbot und sein Flaggschiff, das gro\u00dfe Sprachmodell (LLM) Mistral Large, ver\u00f6ffentlicht, das der GPT-4-Leistung ziemlich nahe kommt.<\/strong><\/p>\n<p>Der kometenhafte Aufstieg von Mistral AI machte im Dezember Schlagzeilen, als das Unternehmen eine <a href=\"https:\/\/dailyai.com\/de\/2023\/12\/the-rise-of-the-french-ai-startup-mistral\/\">$2b Bewertung<\/a> weniger als sechs Monate nach seiner Gr\u00fcndung. Es ist ein leichtgewichtiges Open-Source <a href=\"https:\/\/dailyai.com\/de\/2023\/12\/mixture-of-experts-and-sparsity-hot-ai-topics-explained\/\">Mixtral 8x7B<\/a> LLM sorgte f\u00fcr einige Aufregung, indem es gr\u00f6\u00dfere Konkurrenten wie Metas Llama 2 34B schlug.<\/p>\n<p>Es gibt keine Details dar\u00fcber, wie viele Parameter Mistral Large hat, aber die von Mistral AI ver\u00f6ffentlichten Benchmark-Zahlen zeigen, dass sein neues Modell Claude 2, Gemini Pro und Llama 2-70B schl\u00e4gt. Sein 32k-Kontextfenster ist kleiner als das einiger dieser Modelle, aber es entspricht immer noch etwa 20.000 W\u00f6rtern.<\/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\">Vergleich von GPT-4, Mistral Large (vortrainiert), Claude 2, Gemini Pro 1.0, GPT 3.5 und LLaMA 2 70B auf MMLU (Measuring massive multitask language understanding). Quelle: Mistral AI<\/figcaption><\/figure>\n<p>OpenAIs GPT-4 ist nach wie vor der goldene Standard f\u00fcr den Vergleich der LLM-Leistung und Mistral Large kommt ihm in einer Reihe von Benchmarks ziemlich nahe.<\/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-Vergleich des Mistral Large mit anderen f\u00fchrenden Modellen. Quelle: Mistral AI<\/figcaption><\/figure>\n<p>Das Preismodell f\u00fcr den API-Zugang zu Mistral Large ist ein weiterer Schuss vor den Bug von OpenAI. Die Abfrage von Mistral Large kostet $8 pro Million Input-Tokens und $24 pro Million Output-Tokens. Das ist 20% billiger als das, was OpenAI f\u00fcr die Abfrage von GPT-4 berechnet.<\/p>\n<p>Obwohl Mistral AI ein gro\u00dfer Bef\u00fcrworter von Open-Source-Modellen ist, wurden seine neuen Modelle im Gegensatz zu Mixtral 8x7B nur mit API-Zugang ver\u00f6ffentlicht.<\/p>\n<h2>Le Chat<\/h2>\n<p>Mistral AI k\u00fcndigte auch eine Beta-Version seines Chatbots namens Le Chat an. Der Chatbot erm\u00f6glicht es Nutzern, die Antworten von Mistral Large zu erfahren, bietet aber auch Zugang zu den neuen kleineren Modellen von Mistral AI, Mistral Small und Mistral Next.<\/p>\n<p>Die beiden letztgenannten LLMs bieten pr\u00e4gnantere und kosteng\u00fcnstigere Interaktionen. Mistral Small \u00fcbertrifft Mixtral 8x7B und hat eine geringere Latenzzeit.<\/p>\n<p>Mistral AI sagt, dass es versucht hat, seine Modelle \"so n\u00fctzlich und so wenig rechthaberisch wie m\u00f6glich\" zu machen. Das Unternehmen sagt, dass le Chat mit seinem \"abstimmbaren Moderationsmechanismus auf Systemebene Sie auf nicht-invasive Weise warnt, wenn Sie die Konversation in Richtungen vorantreiben, in denen der Assistent sensible oder kontroverse Inhalte produzieren k\u00f6nnte.\"<\/p>\n<p>Erwarten Sie also ein bisschen weniger Wokeness, als Gemini liefern k\u00f6nnte. Sie k\u00f6nnen Le Chat ausprobieren <a href=\"https:\/\/chat.mistral.ai\/chat\" target=\"_blank\" rel=\"noopener\">hier<\/a>.<\/p>\n<h2>Microsoft-Vermerk<\/h2>\n<p>Auch wenn Microsoft der gr\u00f6\u00dfte Geldgeber von OpenAI ist, hat das Unternehmen mehrere andere Modelle auf seinen Plattformen verf\u00fcgbar gemacht. Zeitgleich mit der Ver\u00f6ffentlichung von Mistral Large gab Microsoft bekannt, dass es eine mehrj\u00e4hrige Partnerschaft mit Mistral AI eingeht und seine Azure-Plattform f\u00fcr die Entwicklung und Bereitstellung seiner Modelle zur Verf\u00fcgung stellen wird.<\/p>\n<p>Arthur Mensch, CEO von Mistral AI, sagte: \"Wir sind begeistert, diese Partnerschaft mit Microsoft einzugehen. Mit der hochmodernen KI-Infrastruktur von Azure erreichen wir einen neuen Meilenstein in unserer Expansion und bringen unsere innovative Forschung und praktischen Anwendungen zu neuen Kunden auf der ganzen Welt.\"<\/p>\n<p>Mit der Ver\u00f6ffentlichung der neuen Gemini-Modelle und Mistral Large kurz nach dem GPT-4 muss man sich fragen, ob die Ver\u00f6ffentlichung des GPT-5 unmittelbar bevorsteht. Wenn Mistral AI dem Mistral Large multimodale Funktionen hinzuf\u00fcgt, dann wird es durch die Preisgestaltung zu einer gro\u00dfen Bedrohung f\u00fcr OpenAI.<\/p>","protected":false},"excerpt":{"rendered":"<p>Das franz\u00f6sische Startup-Unternehmen Mistral AI hat einen Chatbot und sein Flaggschiff, das gro\u00dfe Sprachmodell (LLM) Mistral Large, ver\u00f6ffentlicht, das der GPT-4-Leistung ziemlich nahe kommt. Der kometenhafte Aufstieg von Mistral AI machte im Dezember Schlagzeilen, als das Unternehmen weniger als sechs Monate nach seiner Gr\u00fcndung eine Bewertung von $2b erreichte. Der leichtgewichtige, quelloffene Mixtral 8x7B LLM sorgte f\u00fcr einige Aufregung, da er gr\u00f6\u00dfere Konkurrenten wie Metas Llama 2 34B schlug. Es gibt keine Details dar\u00fcber, wie viele Parameter Mistral Large hat, aber die von Mistral AI ver\u00f6ffentlichten Benchmark-Zahlen zeigen, dass sein neues Modell Claude 2, Gemini Pro und Llama 2-70B schl\u00e4gt. Sein 32k-Kontextfenster ist<\/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\/de\/2024\/02\/mistral-ai-releases-new-model-and-chatbot-to-take-on-gpt-4\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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. 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