{"id":7142,"date":"2023-11-06T09:38:33","date_gmt":"2023-11-06T09:38:33","guid":{"rendered":"https:\/\/dailyai.com\/?p=7142"},"modified":"2023-11-06T09:38:33","modified_gmt":"2023-11-06T09:38:33","slug":"grok-llm-details-and-how-it-stacks-up-against-chatgpt","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2023\/11\/grok-llm-details-and-how-it-stacks-up-against-chatgpt\/","title":{"rendered":"Grok LLM Details und wie es sich gegen ChatGPT abhebt"},"content":{"rendered":"<p><strong>Elon Musk k\u00fcndigte den Beta-Start des Chatbots Grok von xAI an, und die ersten Statistiken geben uns einen Eindruck davon, wie er im Vergleich zu anderen Modellen abschneidet.<\/strong><\/p>\n<p>Die <a href=\"https:\/\/dailyai.com\/de\/2023\/11\/elon-musk-announces-early-access-to-xais-chatbot-grok-for-x-subscribers\/\">Grok-Chatbot<\/a> basiert auf xAIs Frontier-Modell namens Grok-1, das das Unternehmen in den letzten vier Monaten entwickelt hat. xAI hat nicht gesagt, mit wie vielen Parametern es trainiert wurde, hat aber einige Zahlen f\u00fcr seinen Vorg\u00e4nger genannt.<\/p>\n<p>Grok-0, der Prototyp des aktuellen Modells, wurde mit 33 Milliarden Parametern trainiert, so dass wir wahrscheinlich davon ausgehen k\u00f6nnen, dass Grok-1 mit mindestens ebenso vielen Parametern trainiert wurde.<\/p>\n<p>Das klingt nicht nach viel, aber xAI behauptet, dass die Leistung von Grok-0 \"an die F\u00e4higkeiten von LLaMA 2 (70B) bei Standard-LM-Benchmarks heranreicht\", obwohl nur die H\u00e4lfte der Trainingsressourcen verwendet wurde.<\/p>\n<p>In Ermangelung einer Parameterangabe m\u00fcssen wir uns auf das Wort des Unternehmens verlassen, wenn es Grok-1 als \"hochmodern\" und \"deutlich leistungsf\u00e4higer\" als Grok-0 bezeichnet.<\/p>\n<p>Grok-1 wurde auf Herz und Nieren gepr\u00fcft, indem es mit diesen Standard-Benchmarks f\u00fcr maschinelles Lernen bewertet wurde:<\/p>\n<ul>\n<li>GSM8k: Mathe-Wortaufgaben f\u00fcr die Mittelstufe<\/li>\n<li>MMLU: Multidisziplin\u00e4re Multiple-Choice-Fragen<\/li>\n<li>HumanEval: Aufgabe zur Vervollst\u00e4ndigung von Python-Code<\/li>\n<li>MATH: In LaTeX geschriebene Mathematikaufgaben f\u00fcr die Mittel- und Oberstufe<\/li>\n<\/ul>\n<p>Hier ist eine Zusammenfassung der Ergebnisse.<\/p>\n<figure id=\"attachment_7143\" aria-describedby=\"caption-attachment-7143\" style=\"width: 1828px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7143 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results.png\" alt=\"\" width=\"1828\" height=\"612\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results.png 1828w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-300x100.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1024x343.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-768x257.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1536x514.png 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-370x124.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-800x268.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-740x248.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-20x7.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1600x536.png 1600w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-1320x442.png 1320w, https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/Grok-1-benchmark-test-results-143x48.png 143w\" sizes=\"auto, (max-width: 1828px) 100vw, 1828px\" \/><figcaption id=\"caption-attachment-7143\" class=\"wp-caption-text\">Grok-1 Benchmark-Testergebnisse. Quelle: xAI<\/figcaption><\/figure>\n<p>Die Ergebnisse sind insofern interessant, als sie uns zumindest eine Vorstellung davon vermitteln, wie Grok im Vergleich zu anderen Grenzmodellen abschneidet.<\/p>\n<p>xAI sagt, dass diese Zahlen zeigen, dass Grok-1 \"alle anderen Modelle in seiner Rechenklasse\" \u00fcbertrifft und nur von Modellen geschlagen wurde, die mit einer \"deutlich gr\u00f6\u00dferen Menge an Trainingsdaten und Rechenressourcen\" trainiert wurden.<\/p>\n<p>GPT-3.5 hat 175 Milliarden Parameter, so dass wir davon ausgehen k\u00f6nnen, dass Grok-1 weniger als das hat, aber wahrscheinlich mehr als die 33 Milliarden des Prototyps.<\/p>\n<p>Der Grok-Chatbot ist f\u00fcr Aufgaben wie die Beantwortung von Fragen, Informationsbeschaffung, kreatives Schreiben und Unterst\u00fctzung bei der Programmierung vorgesehen. Aufgrund seines kleineren Kontextfensters wird er wahrscheinlich eher f\u00fcr k\u00fcrzere Interaktionen als f\u00fcr superschnelle Anwendungsf\u00e4lle verwendet.<\/p>\n<p>Mit einer Kontextl\u00e4nge von 8.192 hat Grok-1 nur die H\u00e4lfte des Kontexts, den GPT-3.5 hat. Dies ist ein Hinweis darauf, dass xAI wahrscheinlich beabsichtigte, dass Grok-1 einen l\u00e4ngeren Kontext gegen eine bessere Effizienz eintauscht.<\/p>\n<p>Das Unternehmen sagt, dass sich einige seiner aktuellen Forschungen auf das \"Verstehen und Abrufen von langen Kontexten\" konzentrieren, so dass die n\u00e4chste Version von Grok m\u00f6glicherweise ein gr\u00f6\u00dferes Kontextfenster haben wird.<\/p>\n<p>Der genaue Datensatz, der f\u00fcr das Training von Grok-1 verwendet wurde, ist nicht klar, aber er enth\u00e4lt mit ziemlicher Sicherheit Ihre Tweets \u00fcber X, und der Grok-Chatbot hat auch Echtzeit-Zugang zum Internet.<\/p>\n<p>Wir m\u00fcssen auf weitere R\u00fcckmeldungen von Betatestern warten, um ein reales Gef\u00fchl daf\u00fcr zu bekommen, wie gut das Modell tats\u00e4chlich ist.<\/p>\n<p>Wird Grok uns helfen, die Geheimnisse des Lebens, des Universums und von allem anderen zu entr\u00e4tseln? Vielleicht noch nicht ganz, aber es ist ein unterhaltsamer Anfang.<\/p>","protected":false},"excerpt":{"rendered":"<p>Elon Musk k\u00fcndigte den Beta-Start des Chatbots Grok von xAI an, und erste Statistiken geben uns einen Eindruck davon, wie er sich im Vergleich zu anderen Modellen schl\u00e4gt. Der Chatbot Grok basiert auf dem Grenzmodell Grok-1 von xAI, das das Unternehmen in den letzten vier Monaten entwickelt hat. xAI hat nicht gesagt, mit wie vielen Parametern es trainiert wurde, aber einige Zahlen f\u00fcr seinen Vorg\u00e4nger genannt. Grok-0, der Prototyp des aktuellen Modells, wurde mit 33 Milliarden Parametern trainiert, so dass wir wahrscheinlich davon ausgehen k\u00f6nnen, dass Grok-1 mit mindestens ebenso vielen Parametern trainiert wurde. Das klingt nicht nach viel, aber<\/p>","protected":false},"author":6,"featured_media":7144,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[115,118,223],"class_list":["post-7142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-chatgpt","tag-llms","tag-xai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Grok LLM details and how it stacks up against ChatGPT | 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\/2023\/11\/grok-llm-details-and-how-it-stacks-up-against-chatgpt\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Grok LLM details and how it stacks up against ChatGPT | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Elon Musk announced the beta launch of xAI\u2019s chatbot called Grok and initial stats are giving us an idea of how it stacks up against other models. The Grok chatbot is based on xAI\u2019s frontier model called Grok-1 which the company developed over the last four months. xAI hasn\u2019t said how many parameters it was trained with but did tease with some figures for its predecessor. Grok-0, the prototype for the current model, was trained on 33 billion parameters so we can probably assume that Grok-1 was trained on at least as many. 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