{"id":10283,"date":"2024-02-26T10:02:28","date_gmt":"2024-02-26T10:02:28","guid":{"rendered":"https:\/\/dailyai.com\/?p=10283"},"modified":"2024-02-26T10:05:57","modified_gmt":"2024-02-26T10:05:57","slug":"google-announces-gemma-its-open-llms-that-can-run-locally","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/","title":{"rendered":"Google annoncerer Gemma, deres \u00e5bne LLM'er, der kan k\u00f8re lokalt"},"content":{"rendered":"<p>Google har frigivet to modeller fra sin familie af lette, \u00e5bne modeller kaldet Gemma.<\/p>\n<p>Mens Googles Gemini-modeller er propriet\u00e6re eller lukkede modeller, er Gemma-modellerne blevet frigivet som \"\u00e5bne modeller\" og gjort frit tilg\u00e6ngelige for udviklere.<\/p>\n<p>Google frigiver Gemma-modeller i to st\u00f8rrelser, 2B- og 7B-parametre, med pr\u00e6tr\u00e6nede og instruktionstunede varianter for hver. Google frigiver modelv\u00e6gtene samt en r\u00e6kke v\u00e6rkt\u00f8jer til udviklere, s\u00e5 de kan tilpasse modellerne til deres behov.<\/p>\n<p>Google siger, at Gemma-modellerne er bygget med den samme teknologi, som driver flagskibsmodellen Gemini. Flere virksomheder har udgivet 7B-modeller i et fors\u00f8g p\u00e5 at levere en LLM, der bevarer brugbar funktionalitet, mens den potentielt k\u00f8rer lokalt i stedet for i skyen.<\/p>\n<p>Llama-2-7B og <a href=\"https:\/\/dailyai.com\/da\/2023\/12\/the-rise-of-the-french-ai-startup-mistral\/\">Mistral-7B<\/a> er bem\u00e6rkelsesv\u00e6rdige konkurrenter p\u00e5 dette omr\u00e5de, men Google siger, at \"Gemma overg\u00e5r betydeligt st\u00f8rre modeller p\u00e5 vigtige benchmarks\", og tilb\u00f8d denne benchmark-sammenligning som bevis.<\/p>\n<figure id=\"attachment_10325\" aria-describedby=\"caption-attachment-10325\" style=\"width: 1000px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-10325\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark.webp\" alt=\"\" width=\"1000\" height=\"615\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark.webp 1000w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-300x185.webp 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-768x472.webp 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-370x228.webp 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-800x492.webp 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-20x12.webp 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-740x455.webp 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/02\/Gemma-vs-Llama-2-benchmark-78x48.webp 78w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><figcaption id=\"caption-attachment-10325\" class=\"wp-caption-text\">Benchmark-resultater af Gemma-7B vs. Llama-2-7B og Llama-2-12B. Kilde: Google: Google<\/figcaption><\/figure>\n<p>Benchmark-resultaterne viser, at Gemma sl\u00e5r selv den st\u00f8rre 12B-version af Llama 2 i alle fire funktioner.<\/p>\n<p>Det virkelig sp\u00e6ndende ved Gemma er udsigten til at kunne k\u00f8re det lokalt. Google har indg\u00e5et et samarbejde med NVIDIA om at optimere Gemma til NVIDIA GPU'er. Hvis du har en pc med en af NVIDIAs RTX-GPU'er, kan du k\u00f8re Gemma p\u00e5 din enhed.<\/p>\n<p>NVIDIA siger, at de har en installeret base p\u00e5 over 100 millioner NVIDIA RTX GPU'er. Det g\u00f8r Gemma til en attraktiv mulighed for udviklere, der fors\u00f8ger at beslutte, hvilken letv\u00e6gtsmodel de skal bruge som grundlag for deres produkter.<\/p>\n<p>NVIDIA vil ogs\u00e5 tilf\u00f8je underst\u00f8ttelse af Gemma p\u00e5 sin <a href=\"https:\/\/dailyai.com\/da\/2024\/02\/nvidias-custom-chatbot-runs-locally-on-rtx-ai-pcs\/\">Chat med RTX<\/a> platform, der g\u00f8r det nemt at k\u00f8re LLM'er p\u00e5 RTX-pc'er.<\/p>\n<p>Selv om det teknisk set ikke er open source, er det kun brugsrestriktionerne i licensaftalen, der forhindrer Gemma-modeller i at eje det m\u00e6rke. <a href=\"https:\/\/dailyai.com\/da\/2023\/07\/meta-plays-down-the-potential-risks-of-its-new-open-source-model-llama-2\/\">Kritikere af \u00e5bne modeller<\/a> peger p\u00e5 de risici, der er forbundet med at holde dem p\u00e5 linje, men Google siger, at de udf\u00f8rte omfattende red-teaming for at sikre, at Gemma var i sikkerhed.<\/p>\n<p>Google siger, at de brugte \"omfattende finjustering og forst\u00e6rkningsl\u00e6ring fra menneskelig feedback (RLHF) til at tilpasse vores instruktionsindstillede modeller til ansvarlig adf\u00e6rd.\" De udgav ogs\u00e5 et Responsible Generative AI Toolkit for at hj\u00e6lpe udviklere med at holde Gemma p\u00e5 linje efter finjustering.<\/p>\n<p>Tilpassede letv\u00e6gtsmodeller som Gemma kan give udviklere mere nytte end st\u00f8rre modeller som GPT-4 eller Gemini Pro. Muligheden for at k\u00f8re LLM'er lokalt uden omkostninger til cloud computing eller API-opkald bliver mere tilg\u00e6ngelig hver dag.<\/p>\n<p>Med Gemma \u00e5bent tilg\u00e6ngelig for udviklere bliver det interessant at se udvalget af AI-drevne applikationer, der snart kan k\u00f8re p\u00e5 vores pc'er.<\/p>","protected":false},"excerpt":{"rendered":"<p>Google har frigivet to modeller fra sin familie af lette, \u00e5bne modeller kaldet Gemma. Mens Googles Gemini-modeller er propriet\u00e6re eller lukkede modeller, er Gemma-modellerne blevet frigivet som \"\u00e5bne modeller\" og gjort frit tilg\u00e6ngelige for udviklere. Google frigiver Gemma-modeller i to st\u00f8rrelser, 2B- og 7B-parametre, med pr\u00e6tr\u00e6nede og instruktionstunede varianter for hver. Google frigiver modelv\u00e6gtene samt en r\u00e6kke v\u00e6rkt\u00f8jer til udviklere, s\u00e5 de kan tilpasse modellerne til deres behov. Google siger, at Gemma-modellerne er bygget ved hj\u00e6lp af den samme teknologi, som driver flagskibsmodellen Gemini. Flere virksomheder har udgivet 7B<\/p>","protected":false},"author":6,"featured_media":10326,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[102,118],"class_list":["post-10283","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","tag-google","tag-llms"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u200b\u200bGoogle announces Gemma, its open LLMs that can run locally | 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\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u200b\u200bGoogle announces Gemma, its open LLMs that can run locally | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google has released two models from its family of lightweight, open models called Gemma. While Google\u2019s Gemini models are proprietary, or closed models, the Gemma models have been released as \u201copen models\u201d and made freely available to developers. Google released Gemma models in two sizes, 2B and 7B parameters, with pre-trained and instruction-tuned variants for each. Google is releasing the model weights as well as a suite of tools for developers to adapt the models to their needs. Google says the Gemma models were built using the same tech that powers its flagship Gemini model. 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