{"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\/it\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/","title":{"rendered":"Google annuncia Gemma, il suo LLM aperto che pu\u00f2 essere eseguito localmente"},"content":{"rendered":"

Google ha rilasciato due modelli della sua famiglia di modelli leggeri e aperti chiamati Gemma.<\/p>\n

Mentre i modelli Gemini di Google sono proprietari, o chiusi, i modelli Gemma sono stati rilasciati come \"modelli aperti\" e resi liberamente disponibili agli sviluppatori.<\/p>\n

Google ha rilasciato i modelli Gemma in due dimensioni, 2B e 7B, con varianti pre-addestrate e ottimizzate per le istruzioni. Google sta rilasciando i pesi dei modelli e una suite di strumenti per gli sviluppatori, per adattare i modelli alle loro esigenze.<\/p>\n

Google afferma che i modelli Gemma sono stati costruiti utilizzando la stessa tecnologia che alimenta il suo modello di punta Gemini. Diverse aziende hanno rilasciato modelli 7B nel tentativo di fornire un LLM che mantenga le funzionalit\u00e0 utilizzabili, pur essendo potenzialmente in esecuzione a livello locale anzich\u00e9 nel cloud.<\/p>\n

Llama-2-7B e Mistral-7B<\/a> sono concorrenti di rilievo in questo settore, ma Google afferma che \"Gemma supera modelli significativamente pi\u00f9 grandi nei principali benchmark\" e offre questo confronto come prova.<\/p>\n

\"\"
Risultati del benchmark di Gemma-7B rispetto a Llama-2-7B e Llama-2-12B. Fonte: Google<\/figcaption><\/figure>\n

I risultati dei benchmark mostrano che Gemma batte persino la versione pi\u00f9 grande 12B di Llama 2 in tutte e quattro le funzionalit\u00e0.<\/p>\n

L'aspetto davvero interessante di Gemma \u00e8 la prospettiva di eseguirlo localmente. Google ha stretto una partnership con NVIDIA per ottimizzare Gemma per le GPU NVIDIA. Se avete un PC con una delle GPU RTX di NVIDIA, potete eseguire Gemma sul vostro dispositivo.<\/p>\n

NVIDIA afferma di avere una base installata di oltre 100 milioni di GPU NVIDIA RTX. Questo rende Gemma un'opzione interessante per gli sviluppatori che stanno cercando di decidere quale modello leggero utilizzare come base per i loro prodotti.<\/p>\n

NVIDIA aggiunger\u00e0 anche il supporto per Gemma sul suo Chiacchierate con RTX<\/a> che semplifica l'esecuzione di LLM su PC RTX.<\/p>\n

Sebbene non sia tecnicamente open-source, sono solo le restrizioni d'uso contenute nel contratto di licenza a impedire ai modelli Gemma di possedere questa etichetta. Critiche ai modelli aperti<\/a> indicano i rischi insiti nel mantenerli allineati, ma Google afferma di aver effettuato un ampio red-teaming per garantire che Gemma fosse al sicuro.<\/p>\n

Google afferma di aver usato \"un'ampia messa a punto e l'apprendimento di rinforzo dal feedback umano (RLHF) per allineare i nostri modelli regolati dalle istruzioni con comportamenti responsabili\". Ha anche rilasciato un Responsible Generative AI Toolkit per aiutare gli sviluppatori a mantenere Gemma allineata dopo la messa a punto.<\/p>\n

I modelli leggeri e personalizzabili come Gemma possono offrire agli sviluppatori pi\u00f9 utilit\u00e0 di quelli pi\u00f9 grandi come GPT-4 o Gemini Pro. La possibilit\u00e0 di eseguire LLM in locale senza i costi del cloud computing o delle chiamate API diventa ogni giorno pi\u00f9 accessibile.<\/p>\n

Con Gemma a disposizione degli sviluppatori, sar\u00e0 interessante vedere la gamma di applicazioni basate sull'intelligenza artificiale che potrebbero presto essere eseguite sui nostri PC.<\/p>","protected":false},"excerpt":{"rendered":"

Google ha rilasciato due modelli della sua famiglia di modelli leggeri e aperti chiamati Gemma. Mentre i modelli Gemini di Google sono modelli proprietari, o chiusi, i modelli Gemma sono stati rilasciati come \"modelli aperti\" e resi liberamente disponibili agli sviluppatori. Google ha rilasciato i modelli Gemma in due dimensioni, 2B e 7B, con varianti pre-addestrate e tarate sulle istruzioni per ciascuna di esse. Google sta rilasciando i pesi dei modelli e una suite di strumenti che consentono agli sviluppatori di adattare i modelli alle loro esigenze. Google afferma che i modelli Gemma sono stati costruiti utilizzando la stessa tecnologia che alimenta il suo modello di punta Gemini. Diverse aziende hanno rilasciato modelli 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":"\n\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\/it\/2024\/02\/google-announces-gemma-its-open-llms-that-can-run-locally\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\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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