{"id":14010,"date":"2024-08-28T08:44:14","date_gmt":"2024-08-28T08:44:14","guid":{"rendered":"https:\/\/dailyai.com\/?p=14010"},"modified":"2024-08-28T11:03:03","modified_gmt":"2024-08-28T11:03:03","slug":"google-unveils-3-new-experimental-gemini-models","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/08\/google-unveils-3-new-experimental-gemini-models\/","title":{"rendered":"Google presenterer 3 nye eksperimentelle Gemini-modeller"},"content":{"rendered":"<p><strong>Google kunngjorde tre nye modeller i Gemini-familien, og gjorde dem tilgjengelige som en eksperimentell utgivelse for \u00e5 samle tilbakemeldinger fra utviklere.<\/strong><\/p>\n<p>Utgivelsen er en fortsettelse av Googles iterative tiln\u00e6rming i stedet for \u00e5 hoppe rett til Gemini 2.0. De eksperimentelle modellene er forbedrede versjoner av <a href=\"https:\/\/dailyai.com\/nb\/2024\/02\/google-plays-another-ai-card-in-the-form-of-gemini-1-5-pro\/\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">Gemini<\/span><\/span> 1,5 Pro<\/a> og Gemini 1.5 Flash samt en ny, mindre Gemini 1.5 Flash-8B.<\/p>\n<p>Googles produktsjef, Logan Kilpatrick, sa at Googles utgivelse av eksperimentelle modeller \"for \u00e5 samle tilbakemeldinger og f\u00e5 de siste oppdateringene v\u00e5re i hendene p\u00e5 utviklere. Det vi l\u00e6rer fra eksperimentelle lanseringer, informerer hvordan vi lanserer modeller mer bredt.\"<\/p>\n<p>Google sier at den oppgraderte Gemini 1.5 Pro er en betydelig forbedring av den forrige versjonen, med forbedrede kodingsfunksjoner og kompleks prompt-h\u00e5ndtering. Gemini 1.5-modellene er bygget for \u00e5 h\u00e5ndtere ekstremt lange kontekster og kan gjenkalle og resonnere over finkornet informasjon fra opptil minst 10 millioner tokens. De eksperimentelle modellene har imidlertid en grense p\u00e5 1 million token.<\/p>\n<p>Gemini 1.5 Flash er den billigere modellen med lav latenstid som er utviklet for \u00e5 h\u00e5ndtere oppgaver med store volumer og oppsummering av multimodale inndata i lange kontekster. De f\u00f8rste testene av de eksperimentelle versjonene viste at de forbedrede Pro- og Flash-modellene klatret p\u00e5 topplistene i LMSYS.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">Oppdatering av Chatbot Arena\u26a1!<\/p>\n<p>Den siste <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">Gemini<\/span><\/span> (Pro\/Flash\/Flash-9b) er n\u00e5 live, med over 20 000 stemmer fra fellesskapet!<\/p>\n<p>H\u00f8ydepunkter:<br \/>\n- Ny <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">Gemini<\/span><\/span>-1,5-Flash (0827) gj\u00f8r et stort sprang, og klatrer fra #23 til #6 totalt!<br \/>\n- Ny <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">Gemini<\/span><\/span>-1.5-Pro (0827) viser sterk fremgang i koding og matematikk i l\u00f8pet av... <a href=\"https:\/\/t.co\/6j6EiSyy41\">https:\/\/t.co\/6j6EiSyy41<\/a> <a href=\"https:\/\/t.co\/D3XpU0Xiw2\">pic.twitter.com\/D3XpU0Xiw2<\/a><\/p>\n<p>- lmsys.org (@lmsysorg) <a href=\"https:\/\/twitter.com\/lmsysorg\/status\/1828506835370065994?ref_src=twsrc%5Etfw\">27. august 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<h2>Gemini Flash 8B<\/h2>\n<p>Da Google lanserte <a href=\"https:\/\/arxiv.org\/pdf\/2403.05530\" target=\"_blank\" rel=\"noopener\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">Gemini<\/span><\/span> 1.5 teknisk rapport<\/a> tidligere denne m\u00e5neden, ble det vist frem noe av Google DeepMind-teamets tidlige arbeid med en enda mindre variant med 8 milliarder parametere av Gemini 1.5 Flash-modellen.<\/p>\n<p>Den multimodale Gemini 1.5 Flash-8B eksperimentelle modellen er n\u00e5 tilgjengelig for testing. Benchmark-tester viser at den sl\u00e5r Googles lette Gemma 2-9B-modell og Metas betydelig st\u00f8rre Llama 3-70B.<\/p>\n<p>Tanken bak Gemini 1.5 Flash-8B er \u00e5 ha en ekstremt rask og sv\u00e6rt billig modell som fortsatt har multimodale evner. Google sier at den \"kan drive intelligente agenter som distribueres i stor skala, og legge til rette for sanntidsinteraksjoner med en stor brukerbase\". Flash-8B er \"beregnet p\u00e5 alt fra multimodale brukstilfeller med h\u00f8yt volum til lange kontekstoppsummeringsoppgaver.\"<\/p>\n<p>Utviklere som leter etter en lett, billig og rask multimodal modell med en 1M token-kontekst, vil sannsynligvis v\u00e6re mer begeistret for Gemini Flash-8B enn de forbedrede Flash- og Pro-modellene. De som leter etter mer avanserte modeller vil lure p\u00e5 n\u00e5r vi kan forvente at Google slipper Gemini 1.5 Ultra.<\/p>","protected":false},"excerpt":{"rendered":"<p>Google kunngjorde tre nye modeller i Gemini-familien, og gjorde dem tilgjengelige som en eksperimentell utgivelse for \u00e5 samle tilbakemeldinger fra utviklere. Utgivelsen er en fortsettelse av Googles iterative tiln\u00e6rming i stedet for \u00e5 hoppe rett til Gemini 2.0. De eksperimentelle modellene er forbedrede versjoner av Gemini 1.5 Pro og Gemini 1.5 Flash, samt en ny, mindre Gemini 1.5 Flash-8B. Googles produktsjef, Logan Kilpatrick, sier at Google lanserer eksperimentelle modeller \"for \u00e5 samle tilbakemeldinger og f\u00e5 de nyeste oppdateringene v\u00e5re i hendene p\u00e5 utviklere. Det vi l\u00e6rer fra eksperimentelle lanseringer informerer hvordan vi slipper modeller mer bredt.\" Google sier at<\/p>","protected":false},"author":6,"featured_media":14019,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[383,102],"class_list":["post-14010","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-gemini","tag-google"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google unveils 3 new experimental Gemini models | 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\/08\/google-unveils-3-new-experimental-gemini-models\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google unveils 3 new experimental Gemini models | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google announced three new models in its Gemini family, making them available as an experimental release to gather feedback from developers. The release is a continuation of Google\u2019s iterative approach instead of jumping straight to Gemini 2.0. The experimental models are improved versions of Gemini 1.5 Pro and Gemini 1.5 Flash as well as a new smaller Gemini 1.5 Flash-8B. Google\u2019s Product Lead, Logan Kilpatrick, said Google\u2019s release of experimental models \u201cto gather feedback and get our latest updates into the hands of developers. What we learn from experimental launches informs how we release models more widely.\u201d Google says the\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/nb\/2024\/08\/google-unveils-3-new-experimental-gemini-models\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-28T08:44:14+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-28T11:03:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/08\/Improved-Gemini-1.5-models-experimental.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\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 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