{"id":5125,"date":"2023-09-06T12:53:26","date_gmt":"2023-09-06T12:53:26","guid":{"rendered":"https:\/\/dailyai.com\/?p=5125"},"modified":"2023-09-06T12:55:15","modified_gmt":"2023-09-06T12:55:15","slug":"googles-gemini-is-expected-to-outperform-gpt-4","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/09\/googles-gemini-is-expected-to-outperform-gpt-4\/","title":{"rendered":"Googles Gemini forventes at klare sig bedre end GPT-4"},"content":{"rendered":"<p><strong>Google forventes at frigive Gemini, deres nye LLM, i december, og den forventes at overg\u00e5 GPT-4 med en vis afstand.<\/strong><\/p>\n<p>Gemini er en grundl\u00e6ggende model, der er bygget fra bunden af Googles DeepMind- og Brain AI-teams. Det er den f\u00f8rste \u00e6gte multimodale model, hvilket betyder, at den kan behandle tekst, billeder og video. GPT-4 klarer kun 2 ud af 3 p\u00e5 det punkt.<\/p>\n<p>En stor del af hypen omkring Geminis pr\u00e6station er baseret p\u00e5 en <a href=\"https:\/\/www.semianalysis.com\/p\/google-gemini-eats-the-world-gemini\" target=\"_blank\" rel=\"noopener\">rapport fra Semi Analysis<\/a> som frimodigt h\u00e6vder, at \"Gemini smadrer GPT-4 med 5 gange\".<\/p>\n<p>Tallet 5x performance er en reference til den computerkraft, der blev brugt til at tr\u00e6ne Gemini. Den ansl\u00e5s at v\u00e6re omkring 5 gange st\u00f8rre end den, der blev brugt til at tr\u00e6ne GPT-4. Beregningskraft er et interessant benchmark, men flere FLOPS er ikke automatisk ensbetydende med en bedre model.<\/p>\n<p>I mangel af officielle pr\u00e6stationstal var Sam Altman hurtig til at tweete en sarkastisk kommentar til p\u00e5standene.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\" style=\"text-align: center;\">Utroligt, at Google fik den der semianalyse-fyr til at offentligg\u00f8re deres interne marketing\/rekrutteringsdiagram lol<\/p>\n<p style=\"text-align: center;\">- Sam Altman (@sama) <a href=\"https:\/\/twitter.com\/sama\/status\/1696340377098453440?ref_src=twsrc%5Etfw\">29. august 2023<\/a><\/p>\n<\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Elon Musk svarede p\u00e5 sit tweet ved at sp\u00f8rge: \"Er tallene forkerte?\", men fik ikke noget svar fra Altman.<\/p>\n<p>Gemini har over 430 milliarder parametre sammenlignet med det \u00f8verste estimat p\u00e5 200 milliarder, som GPT-4 har. Det ville have kr\u00e6vet en masse processorkraft at tr\u00e6ne en model af den st\u00f8rrelse, og det har Google masser af.<\/p>\n<p>Semi Analysis-rapporten brugte \"GPU-rige\" og \"GPU-fattige\" til at sammenligne Google med AI-startups, der har betydeligt mindre computerkraft til r\u00e5dighed.<\/p>\n<p>Sammenligningen er rimelig, selv om det er lidt af en tilsnigelse at bruge \"GPU\", n\u00e5r det drejer sig om Google. Den virkelige fordel, som Google har, n\u00e5r de skal tr\u00e6ne deres modeller, er deres egenudviklede Tensor Processing Units eller TPU'er.<\/p>\n<p>Mens alle andre skynder sig at k\u00f8be Nvidias GPU'er, er Google langt fremme i modeltr\u00e6ningskapl\u00f8bet med sine TPU-chips. Gemini blev tr\u00e6net p\u00e5 Googles TPUv5-chips, som kan operere med 16.384 chips p\u00e5 samme tid.<\/p>\n<h2>Gemini og AlphaGo<\/h2>\n<p>Noget af den hemmelige sauce i Gemini kommer fra, hvordan Google integrerede AlphaGos evner. AlphaGo er det program, der er udviklet af DeepMind, og som slog verdensmesteren i spillet Go.<\/p>\n<p>Den strategiske beslutningstagning og dynamiske kontekstforst\u00e5else, der f\u00f8rte til den sejr, forventes at give Gemini en stor fordel i forhold til GPT-4's r\u00e6sonneringsevne.<\/p>\n<p>AlphaGo blev bedre til Go ved at spille mod sig selv. Gemini kunne bruge et lignende selvspil til at l\u00e6re af sine egne interaktioner og ikke kun af brugernes.<\/p>\n<h2>Data er den virkelige forskel<\/h2>\n<p>Den st\u00f8rste fordel, Google har, er nok den store m\u00e6ngde data, de har til r\u00e5dighed til at tr\u00e6ne Gemini.<\/p>\n<p>OpenAI fik fat i alle de internetdata, de kunne, men k\u00e6mper nu imod <a href=\"https:\/\/dailyai.com\/da\/2023\/08\/openai-says-authors-copyright-allegations-are-baseless\/\">uundg\u00e5elige retssager<\/a> og ser sin <a href=\"https:\/\/dailyai.com\/da\/2023\/09\/the-guardian-joins-other-news-websites-in-blocking-gptbot\/\">GPTBot bliver i stigende grad blokeret<\/a>.<\/p>\n<p>Google har sikkert lavet en del \"risikabel\" dataskrabning, men de ejer store m\u00e6ngder propriet\u00e6re data. Det er ikke klart, hvad der indgik i Geminis tr\u00e6ningsdatas\u00e6t, men det kan nemt omfatte data fra YouTube, Google Books, Google Scholar og det massive s\u00f8geindeks.<\/p>\n<p>Forh\u00e5bentlig beh\u00f8ver vi ikke at vente til december for at f\u00e5 nogle rigtige benchmarking-sammenligninger for at se, om Gemini virkelig er bedre end GPT-4. Kan OpenAI holde igen med at udgive GPT-5 lige l\u00e6nge nok til at overtrumfe Gemini efter lanceringen?<\/p>","protected":false},"excerpt":{"rendered":"<p>Google forventes at frigive Gemini, sin nye LLM, i december, og den forventes at overg\u00e5 GPT-4 med en vis afstand. Gemini er en grundl\u00e6ggende model, der er bygget fra bunden af Googles DeepMind- og Brain AI-teams. Det er den f\u00f8rste \u00e6gte multimodale model, hvilket betyder, at den kan behandle tekst, billeder og video. GPT-4 klarer kun 2 ud af 3 p\u00e5 det punkt. En stor del af hypen omkring Geminis pr\u00e6station er baseret p\u00e5 en rapport fra Semi Analysis, som dristigt h\u00e6vder, at \"Gemini smadrer GPT-4 med 5 gange\". Tallet 5x er en henvisning til den computerkraft, der bruges til at tr\u00e6ne Gemini. Det er<\/p>","protected":false},"author":6,"featured_media":2080,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[99,115,102,207,105,93,136],"class_list":["post-5125","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-race","tag-chatgpt","tag-google","tag-llm","tag-machine-learning","tag-openai","tag-sam-altman"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google\u2019s Gemini is expected to outperform 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\/2023\/09\/googles-gemini-is-expected-to-outperform-gpt-4\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google\u2019s Gemini is expected to outperform GPT-4 | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google is expected to release Gemini, its new LLM, in December and it\u2019s expected to outperform GPT-4 by some distance. Gemini is a foundational model built from scratch by Google\u2019s DeepMind and Brain AI teams. It\u2019s the first truly multimodal model, meaning it can process text, images, and video. GPT-4 only manages 2 out of 3 on that score. A lot of the hype surrounding Gemini\u2019s performance is based on a report by Semi Analysis which boldly claims that \u201cGemini Smashes GPT-4 By 5X\u201d. The 5x performance figure is a reference to the compute power used to train Gemini. 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