{"id":13572,"date":"2024-07-24T09:42:00","date_gmt":"2024-07-24T09:42:00","guid":{"rendered":"https:\/\/dailyai.com\/?p=13572"},"modified":"2024-07-24T09:42:00","modified_gmt":"2024-07-24T09:42:00","slug":"meta-releases-llama-3-1-models-sticks-with-open-strategy","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2024\/07\/meta-releases-llama-3-1-models-sticks-with-open-strategy\/","title":{"rendered":"Meta ver\u00f6ffentlicht Llama 3.1 Modelle und bleibt bei der offenen Strategie"},"content":{"rendered":"<p><strong>Meta hat seine aktualisierten Llama 3.1-Modelle in den Versionen 8B, 70B und 405B ver\u00f6ffentlicht und sich zu Mark Zuckerbergs Open-Source-Vision f\u00fcr die Zukunft der KI bekannt.<\/strong><\/p>\n<p>Die neuen Mitglieder der Llama-Familie von Meta verf\u00fcgen \u00fcber eine erweiterte Kontextl\u00e4nge von 128k und Unterst\u00fctzung f\u00fcr acht Sprachen.<\/p>\n<p>Meta sagt, dass sein mit Spannung erwartetes 405B-Modell \"un\u00fcbertroffene Flexibilit\u00e4t, Kontrolle und hochmoderne F\u00e4higkeiten aufweist, die mit den besten Closed-Source-Modellen konkurrieren\". Au\u00dferdem behauptet Meta, dass Llama 3.1 405B das \"weltweit gr\u00f6\u00dfte und leistungsf\u00e4higste offen verf\u00fcgbare Fundamentmodell\" ist.<\/p>\n<p>Angesichts der horrenden Rechenkosten, die f\u00fcr die Ausbildung immer gr\u00f6\u00dferer Modelle aufgewendet werden, gab es viele Spekulationen, dass Metas Flaggschiffmodell 405B das erste kostenpflichtige Modell sein k\u00f6nnte.<\/p>\n<p>Llama 3.1 405B wurde mit mehr als 15 Billionen Token trainiert, wof\u00fcr 16.000 NVIDIA H100 verwendet wurden, was wahrscheinlich Hunderte von Millionen Dollar gekostet hat.<\/p>\n<p>In einem <a href=\"https:\/\/about.fb.com\/news\/2024\/07\/open-source-ai-is-the-path-forward\/\" target=\"_blank\" rel=\"noopener\">Blog-Beitrag<\/a>Meta-CEO Mark Zuckerberg bekr\u00e4ftigte die Ansicht des Unternehmens, dass Open-Source-KI der Weg in die Zukunft sei und dass die Ver\u00f6ffentlichung von Llama 3.1 der n\u00e4chste Schritt sei, \"damit Open-Source-KI zum Industriestandard wird\".<\/p>\n<p>Die Llama 3.1-Modelle k\u00f6nnen kostenlos heruntergeladen und mit einer Reihe von Diensten von Amazon, Databricks und NVIDIA modifiziert oder feinabgestimmt werden.<\/p>\n<p>Die Modelle sind auch bei Cloud-Anbietern wie AWS, Azure, Google und Oracle verf\u00fcgbar.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Ab heute ist Open Source der Wegbereiter. Wir stellen Llama 3.1 vor: Unsere bisher leistungsf\u00e4higsten Modelle.<\/p>\n<p>Heute ver\u00f6ffentlichen wir eine Reihe neuer Llama 3.1-Modelle, darunter unser lang erwartetes 405B. Diese Modelle bieten verbesserte Argumentationsf\u00e4higkeiten, einen gr\u00f6\u00dferen 128K Token-Kontext... <a href=\"https:\/\/t.co\/1iKpBJuReD\">pic.twitter.com\/1iKpBJuReD<\/a><\/p>\n<p>- AI bei Meta (@AIatMeta) <a href=\"https:\/\/twitter.com\/AIatMeta\/status\/1815766327463907421?ref_src=twsrc%5Etfw\">23. Juli 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<h2>Leistung<\/h2>\n<p>Meta hat nach eigenen Angaben seine Modelle an \u00fcber 150 Benchmark-Datens\u00e4tzen getestet und die Ergebnisse f\u00fcr die g\u00e4ngigsten Benchmarks ver\u00f6ffentlicht, um zu zeigen, wie seine neuen Modelle im Vergleich zu anderen f\u00fchrenden Modellen abschneiden.<\/p>\n<p>Es gibt nicht viel, was Llama 3.1 405B von GPT-4o und Claude 3.5 Sonnet trennt. Hier sind die Zahlen f\u00fcr das Modell 405B und dann die kleineren Versionen 8B und 70B.<\/p>\n<figure id=\"attachment_13574\" aria-describedby=\"caption-attachment-13574\" style=\"width: 3201px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13574 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1.png\" alt=\"\" width=\"3201\" height=\"2217\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1.png 3201w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1-300x208.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1-1024x709.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1-768x532.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1-1536x1064.png 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1-2048x1418.png 2048w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1-18x12.png 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Benchmark-1-60x42.png 60w\" sizes=\"auto, (max-width: 3201px) 100vw, 3201px\" \/><figcaption id=\"caption-attachment-13574\" class=\"wp-caption-text\">Llama 3.1 405B Benchmark-Vergleich mit anderen f\u00fchrenden Modellen. Quelle: Meta<\/figcaption><\/figure>\n<figure id=\"attachment_13575\" aria-describedby=\"caption-attachment-13575\" style=\"width: 3201px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13575 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark.png\" alt=\"\" width=\"3201\" height=\"2217\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark.png 3201w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark-300x208.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark-1024x709.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark-768x532.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark-1536x1064.png 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark-2048x1418.png 2048w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark-18x12.png 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-8B-and-70B-Benchmark-60x42.png 60w\" sizes=\"auto, (max-width: 3201px) 100vw, 3201px\" \/><figcaption id=\"caption-attachment-13575\" class=\"wp-caption-text\">Llama 3.1 405B Benchmark-Vergleich mit anderen f\u00fchrenden Modellen. Quelle: Meta<\/figcaption><\/figure>\n<p>Meta hat auch \"umfangreiche menschliche Bewertungen durchgef\u00fchrt, die Llama 3.1 mit konkurrierenden Modellen in realen Szenarien vergleichen\".<\/p>\n<p>Diese Zahlen beruhen auf der Entscheidung der Nutzer, ob sie die Antwort des einen oder des anderen Modells bevorzugen.<\/p>\n<p>Die menschliche Bewertung von Llama 3.1 405B spiegelt eine \u00e4hnliche Parit\u00e4t wider, wie sie die Benchmark-Zahlen offenbaren.<\/p>\n<figure id=\"attachment_13576\" aria-describedby=\"caption-attachment-13576\" style=\"width: 3840px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13576 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval.png\" alt=\"\" width=\"3840\" height=\"2040\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval.png 3840w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval-300x159.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval-1024x544.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval-768x408.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval-1536x816.png 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval-2048x1088.png 2048w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval-18x10.png 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Llama-3.1-405B-Human-Eval-60x32.png 60w\" sizes=\"auto, (max-width: 3840px) 100vw, 3840px\" \/><figcaption id=\"caption-attachment-13576\" class=\"wp-caption-text\">Llama 3.1 405B Bewertungsergebnisse f\u00fcr Menschen im Vergleich zu GPT-4, GPT-4o und Claude 3.5 Sonnet. Quelle: Meta<\/figcaption><\/figure>\n<p>Meta sagt, dass sein Modell wirklich offen ist, da die Gewichte des Modells Llama 3.1 ebenfalls zum Download zur Verf\u00fcgung stehen, obwohl die Trainingsdaten nicht freigegeben wurden. Das Unternehmen hat au\u00dferdem seine Lizenz ge\u00e4ndert, damit Llama-Modelle zur Verbesserung anderer KI-Modelle verwendet werden k\u00f6nnen.<\/p>\n<p>Die Freiheit, Llama-Modelle ohne Einschr\u00e4nkungen zu optimieren, zu ver\u00e4ndern und zu verwenden, hat <a href=\"https:\/\/dailyai.com\/de\/2024\/06\/the-rise-of-open-source-ai-models-transparency-and-accountability-in-question\/\">Kritiker von Open Source<\/a> Bei AI l\u00e4uten die Alarmglocken.<\/p>\n<p>Zuckerberg argumentiert, dass ein Open-Source-Ansatz der beste Weg ist, um unbeabsichtigte Sch\u00e4den zu vermeiden. Wenn ein KI-Modell offen ist, ist es weniger wahrscheinlich, dass es gef\u00e4hrliche neue Verhaltensweisen entwickelt, die wir bei geschlossenen Modellen sonst \u00fcbersehen w\u00fcrden.<\/p>\n<p>Was das Potenzial f\u00fcr vors\u00e4tzlichen Schaden angeht, sagt Zuckerberg: \"Solange jeder Zugang zu \u00e4hnlichen Generationen von Modellen hat - was Open Source f\u00f6rdert -, werden Regierungen und Institutionen mit mehr Rechenressourcen in der Lage sein, schlechte Akteure mit weniger Rechenleistung zu kontrollieren.\"<\/p>\n<p>Im Hinblick auf das Risiko, dass staatliche Gegner wie China auf Metamodelle zugreifen, sagt Zuckerberg, dass die Bem\u00fchungen, diese aus den H\u00e4nden der Chinesen fernzuhalten, nicht funktionieren werden.<\/p>\n<p>\"Unsere Gegner sind sehr gut im Spionieren, es ist relativ einfach, Modelle zu stehlen, die auf einen USB-Stick passen, und die meisten Technologieunternehmen sind weit davon entfernt, so zu arbeiten, dass dies schwieriger w\u00e4re\", erkl\u00e4rte er.<\/p>\n<p>Die Aufregung \u00fcber ein Open-Source-KI-Modell wie Llama 3.1 405B, das es mit den gro\u00dfen geschlossenen Modellen aufnimmt, ist berechtigt.<\/p>\n<p>Aber da GPT-5 und Claude 3.5 Opus in den Startl\u00f6chern stehen, k\u00f6nnten diese Benchmark-Ergebnisse nicht sehr gut altern.<\/p>","protected":false},"excerpt":{"rendered":"<p>Meta hat seine aktualisierten Llama 3.1 Modelle in den Versionen 8B, 70B und 405B ver\u00f6ffentlicht und bekennt sich zu Mark Zuckerbergs Open-Source-Vision f\u00fcr die Zukunft der KI. Die neuen Mitglieder der Llama-Modellfamilie von Meta verf\u00fcgen \u00fcber eine erweiterte Kontextl\u00e4nge von 128k und Unterst\u00fctzung f\u00fcr acht Sprachen. Meta sagt, das mit Spannung erwartete Modell 405B zeige \"un\u00fcbertroffene Flexibilit\u00e4t, Kontrolle und hochmoderne F\u00e4higkeiten, die es mit den besten Closed-Source-Modellen aufnehmen k\u00f6nnen\". Meta behauptet au\u00dferdem, dass Llama 3.1 405B \"das weltweit gr\u00f6\u00dfte und leistungsf\u00e4higste offen verf\u00fcgbare Basismodell\" ist. Angesichts der horrenden Rechnerkosten, die f\u00fcr die Ausbildung immer gr\u00f6\u00dferer Modelle aufgewendet werden, gibt es<\/p>","protected":false},"author":6,"featured_media":11668,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[],"class_list":["post-13572","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Meta releases Llama 3.1 models, sticks with open strategy | 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\/07\/meta-releases-llama-3-1-models-sticks-with-open-strategy\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Meta releases Llama 3.1 models, sticks with open strategy | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Meta has released its upgraded Llama 3.1 models in 8B, 70B, and 405B versions and committed to Mark Zuckerberg\u2019s open source vision for the future of AI. The new additions to Meta\u2019s Llama family of models come with an expanded context length of 128k and support across eight languages. Meta says its highly anticipated 405B model demonstrates \u201cunmatched flexibility, control, and state-of-the-art capabilities that rival the best closed source models.\u201d It also claims that Llama 3.1 405B is the \u201cthe world\u2019s largest and most capable openly available foundation model.\u201d With eye-watering computing costs being spent to train ever-larger models, there\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/de\/2024\/07\/meta-releases-llama-3-1-models-sticks-with-open-strategy\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-24T09:42:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/DALL\u00b7E-2024-04-18-23.38.06-A-high-tech-AI-inspired-background-featuring-the-Meta-Llama-logo-with-the-word-Meta-prominently-displayed.-The-design-showcases-a-stylized-digit.webp\" \/>\n\t<meta property=\"og:image:width\" 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