{"id":113821,"date":"2024-02-23T22:02:47","date_gmt":"2024-02-23T20:02:48","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini"},"modified":"2024-02-23T22:02:47","modified_gmt":"2024-02-23T20:02:48","slug":"google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini","title":{"rendered":"Google ha lanciato il modello AI Gemma, basato su tecnologie condivise con il chatbot Gemini.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google ha annunciato la pubblicazione di un ampio modello linguistico di apprendimento automatico, Gemma, costruito utilizzando tecnologie impiegate per il modello del chatbot Gemini, che cerca di competere con ChatGPT. Il modello \u00e8 disponibile in quattro varianti, coprendo 2 e 7 miliardi di parametri, nelle versioni base e ottimizzate per i sistemi di dialogo. Le varianti con 2 miliardi di parametri sono adatte per l'uso in applicazioni consumer e possono essere gestite sufficientemente da una CPU. Le varianti con 7 miliardi di parametri richiedono hardware pi\u00f9 potente e l'uso di GPU o TPU. <\/p>\n

Tra i settori di applicazione del modello Gemma si trovano la creazione di sistemi di dialogo e assistenti virtuali, la generazione di testi, la formazione di risposte a domande formulate in linguaggio naturale, il riassunto e la sintesi dei contenuti, la spiegazione dei concetti e dei termini, la correzione degli errori nel testo, e l'assistenza nell'apprendimento delle lingue. \u00c8 supportata la creazione di vari tipi di dati testuali, tra cui poesie, codice in linguaggi di programmazione, riscrittura di opere con parole diverse, e la formazione di lettere secondo un modello. Il modello ha dimensioni relativamente contenute, permettendo di utilizzarlo su apparecchiature con risorse limitate, come normali laptop e PC. <\/p>\n

La licenza del modello consente l'uso e la distribuzione gratuiti non solo in progetti di ricerca e personali, ma anche in prodotti commerciali. \u00c8 inoltre consentita la creazione e pubblicazione di varianti modificate del modello. Tuttavia, le condizioni d'uso vietano l'applicazione del modello per scopi dannosi e prescrivono di utilizzare, per quanto possibile, la versione pi\u00f9 aggiornata di Gemma nei propri prodotti. <\/p>\n

Il supporto per i modelli Gemma \u00e8 gi\u00e0 stato integrato negli strumenti di Transformers e nel Responsible Generative AI Toolkit. Per ottimizzare il modello, si pu\u00f2 utilizzare il framework Keras e i backend per TensorFlow, JAX e PyTorch. \u00c8 inoltre possibile utilizzare Gemma con i framework MaxText, NVIDIA NeMo e TensorRT-LLM. <\/p>\n

La dimensione del contesto considerato dal modello Gemma \u00e8 di 8.000 token (il numero di token che il modello pu\u00f2 elaborare e memorizzare durante la generazione del testo). A titolo di confronto, la dimensione del contesto dei modelli Gemini e GPT-4 \u00e8 di 32.000 token, mentre il modello GPT-4 Turbo raggiunge i 128.000 token. Il modello supporta solo la lingua inglese. In termini di prestazioni, il modello Gemma-7B \u00e8 leggermente inferiore al modello LLama 2 70B Chat e leggermente superiore ai modelli DeciLM-7B, PHI-2 (2.7B) e Mistral-7B-v0.1. Rispetto ai modelli di Google, il modello Gemma-7B supera leggermente LLama 2 7B\/13B e Mistral-7B.

\"Google<\/center>
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Fonte: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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Il modello \u00e8 disponibile in quattro varianti, coprendo 2 e 7 miliardi di parametri, in versioni di base e ottimizzate per i sistemi di dialogo. Le varianti da 2 miliardi di parametri sono adatte all'uso in applicazioni consumer.","canonical_url":"https:\/\/prohoster.info\/it\/blog\/novosti-interneta\/google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"it_IT","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47Google \u043e\u0442\u043a\u0440\u044b\u043b AI-\u043c\u043e\u0434\u0435\u043b\u044c Gemma, \u043e\u0441\u043d\u043e\u0432\u0430\u043d\u043d\u0443\u044e \u043d\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u044f\u0445, 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