{"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\/pt\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/","title":{"rendered":"A Google anuncia o Gemma, o seu LLM aberto que pode ser executado localmente"},"content":{"rendered":"<p>A Google lan\u00e7ou dois modelos da sua fam\u00edlia de modelos leves e abertos denominada Gemma.<\/p>\n<p>Enquanto os modelos Gemini da Google s\u00e3o propriet\u00e1rios, ou modelos fechados, os modelos Gemma foram lan\u00e7ados como \"modelos abertos\" e disponibilizados gratuitamente aos programadores.<\/p>\n<p>A Google lan\u00e7ou modelos Gemma em dois tamanhos, par\u00e2metros 2B e 7B, com variantes pr\u00e9-treinadas e ajustadas por instru\u00e7\u00f5es para cada um. A Google est\u00e1 a lan\u00e7ar os pesos dos modelos, bem como um conjunto de ferramentas para os programadores adaptarem os modelos \u00e0s suas necessidades.<\/p>\n<p>A Google afirma que os modelos Gemma foram constru\u00eddos utilizando a mesma tecnologia que equipa o seu modelo Gemini. V\u00e1rias empresas lan\u00e7aram modelos 7B num esfor\u00e7o para fornecer um LLM que mantenha a funcionalidade utiliz\u00e1vel e que possa ser executado localmente em vez de na nuvem.<\/p>\n<p>Llama-2-7B e <a href=\"https:\/\/dailyai.com\/pt\/2023\/12\/the-rise-of-the-french-ai-startup-mistral\/\">Mistral-7B<\/a> s\u00e3o concorrentes not\u00e1veis neste espa\u00e7o, mas a Google afirma que \"o Gemma supera modelos significativamente maiores nos principais par\u00e2metros de refer\u00eancia\" e apresentou esta compara\u00e7\u00e3o de par\u00e2metros de refer\u00eancia como prova.<\/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\">Resultados de benchmark do Gemma-7B vs Llama-2-7B e Llama-2-12B. Fonte: Google<\/figcaption><\/figure>\n<p>Os resultados do benchmark mostram que o Gemma bate at\u00e9 mesmo a vers\u00e3o maior de 12B do Llama 2 em todas as quatro capacidades.<\/p>\n<p>O que \u00e9 realmente excitante no Gemma \u00e9 a perspetiva de o executar localmente. A Google estabeleceu uma parceria com a NVIDIA para otimizar o Gemma para as GPUs NVIDIA. Se tiver um PC com uma das GPUs RTX da NVIDIA, pode executar o Gemma no seu dispositivo.<\/p>\n<p>A NVIDIA afirma ter uma base instalada de mais de 100 milh\u00f5es de GPUs NVIDIA RTX. Isto torna a Gemma uma op\u00e7\u00e3o atractiva para os programadores que est\u00e3o a tentar decidir qual o modelo leve a utilizar como base para os seus produtos.<\/p>\n<p>A NVIDIA tamb\u00e9m ir\u00e1 adicionar suporte para o Gemma nas suas <a href=\"https:\/\/dailyai.com\/pt\/2024\/02\/nvidias-custom-chatbot-runs-locally-on-rtx-ai-pcs\/\">Conversar com RTX<\/a> facilitando a execu\u00e7\u00e3o de LLMs em PCs RTX.<\/p>\n<p>Embora n\u00e3o seja tecnicamente de c\u00f3digo aberto, s\u00e3o apenas as restri\u00e7\u00f5es de utiliza\u00e7\u00e3o no contrato de licen\u00e7a que impedem que os modelos Gemma possuam esse r\u00f3tulo. <a href=\"https:\/\/dailyai.com\/pt\/2023\/07\/meta-plays-down-the-potential-risks-of-its-new-open-source-model-llama-2\/\">Cr\u00edticos dos modelos abertos<\/a> apontam para os riscos inerentes ao facto de os manter alinhados, mas a Google afirma que efectuou um trabalho de equipa extensivo para garantir que Gemma estava segura.<\/p>\n<p>A Google afirma que utilizou \"uma extensa afina\u00e7\u00e3o e aprendizagem por refor\u00e7o a partir de feedback humano (RLHF) para alinhar os nossos modelos afinados com instru\u00e7\u00f5es com comportamentos respons\u00e1veis\". Tamb\u00e9m lan\u00e7ou um kit de ferramentas de IA generativa respons\u00e1vel para ajudar os programadores a manter o Gemma alinhado ap\u00f3s o ajuste fino.<\/p>\n<p>Modelos leves e personaliz\u00e1veis como o Gemma podem oferecer aos programadores mais utilidade do que modelos maiores como o GPT-4 ou o Gemini Pro. A capacidade de executar LLMs localmente sem o custo de computa\u00e7\u00e3o em nuvem ou chamadas de API est\u00e1 se tornando mais acess\u00edvel a cada dia.<\/p>\n<p>Com o Gemma abertamente dispon\u00edvel para os programadores, ser\u00e1 interessante ver a gama de aplica\u00e7\u00f5es alimentadas por IA que poder\u00e3o em breve ser executadas nos nossos PCs.<\/p>","protected":false},"excerpt":{"rendered":"<p>A Google lan\u00e7ou dois modelos da sua fam\u00edlia de modelos leves e abertos denominados Gemma. Enquanto os modelos Gemini da Google s\u00e3o propriet\u00e1rios, ou modelos fechados, os modelos Gemma foram lan\u00e7ados como \"modelos abertos\" e disponibilizados gratuitamente aos programadores. A Google lan\u00e7ou os modelos Gemma em dois tamanhos, par\u00e2metros 2B e 7B, com variantes pr\u00e9-treinadas e ajustadas por instru\u00e7\u00f5es para cada um. A Google est\u00e1 a divulgar os pesos dos modelos, bem como um conjunto de ferramentas para os programadores adaptarem os modelos \u00e0s suas necessidades. A Google afirma que os modelos Gemma foram constru\u00eddos com a mesma tecnologia que equipa o seu modelo Gemini. V\u00e1rias empresas lan\u00e7aram modelos 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 v27.5 - 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\/pt\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\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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