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guida pratica al fine-tuning e all’uso degli LLM","\u003Ch1>\u003Cstrong>\u003Cspan class=\"text-color-primary-400\">Unsloth:\u003C/span> guida pratica al fine-tuning e all’uso degli LLM\u003C/strong>\u003C/h1>\n","Usare un LLM in locale significa eseguire un modello linguistico sul tuo computer, invece di inviare ogni richiesta a un servizio remoto. Puoi tenere i dati sotto il tuo controllo, lavorare anche senza connessione e collegare il modello alle tue applicazioni. In cambio, memoria, configurazione e aggiornamenti diventano un compito tuo. Il modo più rapido […]",30103,"30 Ottobre 2026",{"url":984,"width":985,"height":985,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2026/10/cover-18.png",1254,[987,991,1015,1017],{"block_layout":988,"classes":989,"text":990},"simple_text","above-the-fold","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">Usare un LLM in locale significa eseguire un modello linguistico sul tuo computer, invece di inviare ogni richiesta a un servizio remoto. Puoi tenere i dati sotto il tuo controllo, lavorare anche senza connessione e collegare il modello alle tue applicazioni. In cambio, memoria, configurazione e aggiornamenti diventano un compito tuo.\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il modo più rapido per capire se fa per te è una prova concreta: un modello piccolo e un breve testo da riassumere. \u003C/span>\u003Ca href=\"https://datamasters.it/blog/ollama/\">\u003Cspan style=\"font-weight: 400;\">Ollama \u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">scarica il modello e apre una chat dal terminale o da interfaccia grafica, \u003C/span>\u003Cb>LM Studio\u003C/b>\u003Cspan style=\"font-weight: 400;\"> fa lo stesso con un’interfaccia grafica dove puoi facilmente configurare i parametri dei modelli. Confronta il riassunto con l’originale e osserva quanta memoria occupa il modello: da qui capisci se il tuo hardware basta per il lavoro che vuoi svolgere.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Che cosa significa usare un LLM in locale\u003C/strong>\u003C/h2>\n\u003Ch3>\u003Cstrong>Differenza tra LLM locale, cloud e API\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Un LLM è un modello linguistico che genera testo a partire da un input. L’\u003C/span>\u003Cb>inferenza locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> esegue il modello sul tuo computer o su un server che controlli. Nel cloud il calcolo avviene su un servizio remoto in cui spesso vengono si possono usare dell’\u003C/span>\u003Cb>API\u003C/b>\u003Cspan style=\"font-weight: 400;\">, ossia un’interfaccia con cui un programma invia richieste a un altro.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Quali dati rimangono sul computer\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Controlla il backend, cioè il sistema che esegue il modello e le integrazioni attive. Un’app installata sul PC può inviare richieste al cloud. Prima di collegare documenti personali, approfondisci i \u003C/span>\u003Ca href=\"https://datamasters.it/blog/llm-privacy/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">rischi della privacy con gli LLM\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Perché eseguire un LLM in locale\u003C/strong>\u003C/h2>\n\u003Ch3>\u003Cstrong>Privacy e controllo dei dati\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Gestendo l’ambiente locale puoi decidere chi accede ai file e quali servizi collegare. Nelle \u003C/span>\u003Ca href=\"https://docs.ollama.com/faq\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">FAQ\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">, Ollama dichiara di non vedere prompt e dati dei modelli eseguiti localmente. Restano da controllare \u003C/span>\u003Cb>accessi e integrazioni\u003C/b>\u003Cspan style=\"font-weight: 400;\"> della tua configurazione.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Utilizzo senza connessione internet\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per usare AI offline devi avere già scaricato modello e \u003C/span>\u003Cb>runtime\u003C/b>\u003Cspan style=\"font-weight: 400;\">, il software che lo esegue. La guida di LM Studio documenta chat e documenti locali senza connessione, mentre download e aggiornamenti richiedono rete.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Costi, personalizzazione e manutenzione\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">Un’API locale permette di collegare il modello alle tue applicazioni. Nel confronto con servizi cloud considera il costo dell’hardware e il lavoro di configurazione, che comprende anche gli aggiornamenti. Valuta questi costi sul progetto concreto prima di aspettarti un risparmio.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Quale hardware serve per un LLM locale\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">La \u003C/span>\u003Cb>RAM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è la memoria di sistema, la \u003C/span>\u003Cb>VRAM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è quella dedicata alla GPU, il processore grafico. Il processore centrale è la CPU. \u003C/span>\u003Ca href=\"https://raw.githubusercontent.com/ggml-org/llama.cpp/master/README.md\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">llama.cpp\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> documenta esecuzione su CPU, GPU e combinazioni delle due, quindi puoi provare configurazioni senza GPU dedicata.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">I \u003C/span>\u003Ca href=\"https://lmstudio.ai/docs/app/system-requirements\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">requisiti di LM Studio\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> raccomandano 16 GB di RAM. Su Windows x64 richiedono AVX2, un insieme di istruzioni della CPU, e raccomandano 4 GB di VRAM dedicata. Su Mac servono Apple Silicon e macOS 14 o successivo. I Mac Intel non sono supportati.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">Oltre ai requisiti specifici del software, considera il modello e il contesto, il testo a cui accede durante l’elaborazione, da tenere a mente che la dimensione del download non descrive tutta la memoria usata durante l’esecuzione.\u003C/span>\u003C/p>\n\u003Cp>\u003Cimg fetchpriority=\"high\" decoding=\"async\" class=\"\" src=\"https://website-prod.datamasters.it/wp-content/uploads/2026/10/inline-01-24.png\" alt=\"Unsloth\" width=\"851\" height=\"567\" />\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Quale modello AI scegliere\u003C/strong>\u003C/h2>\n\u003Ch3>\u003Cstrong>Modelli piccoli per computer poco potenti\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per verificare installazione e comandi useremo \u003C/span>\u003Ca href=\"https://ollama.com/library/qwen3:0.6b\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">qwen3:0.6b\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> come \u003C/span>\u003Cb>esempio leggero\u003C/b>\u003Cspan style=\"font-weight: 400;\">. La pagina consultata il 23 ottobre 2026 riporta un download da 523 MB.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Modelli generalisti, coding e multimodalità\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">Per scrivere o riassumere, controlla fedeltà e qualità dell’italiano. Per il codice, prova esempi che sai verificare. Se vuoi elaborare immagini insieme al testo, accerta il supporto sia del modello sia del runtime.\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Leggi la \u003C/span>\u003Cb>licenza del modello\u003C/b>\u003Cspan style=\"font-weight: 400;\"> separatamente da quella del software. Poter scaricare i pesi, i valori numerici che definiscono il modello, non sostituisce questo controllo.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n",{"block_layout":992,"gutter_top":993,"gutter_bottom":993,"list":994,"h_align":1014,"v_align":1014},"cta_list","xl",[995],{"link":996,"config":998,"modal":1002},{"title":997,"url":149,"target":19},"ISCRIVITI ALLA NEWSLETTER",{"variant":161,"theme":999,"size":1000,"class":1001},"theme-primary","size-default","iscritto-nl qs-link",{"api_url":1003,"title":1004,"text":1005,"name_label":1006,"name_placeholder":1007,"surname_label":1008,"surname_placeholder":1009,"email_label":1010,"email_placeholder":1011,"privacy_text":1012,"submit_text":1013},"/wp-json/dm/v1/modal-form/26876","Iscriviti alla Newletter","\u003Cp>Ricevi direttamente sulla tua mail gli ultimi articoli pubblicati nella nostra sezione AI NEWS per rimanere sempre aggiornato e non perderti nessun contenuto.\u003C/p>\n","Nome","Inserisci il tuo nome","Cognome","Inserisci il tuo cognome","E-mail","Inserisci la tua e-mail","Dichiaro di aver letto l’informativa \u003Ca href=\"https://datamasters.it/privacy-policy/\" target=\"_blank\" rel=\"noopener\">privacy\u003C/a> e di prestare espresso consenso al \u003Ca href=\"https://datamasters.it/trattamento-dati/\" target=\"_blank\" rel=\"noopener\">trattamento dei dati\u003C/a> personali","ISCRIVITI ORA","center",{"block_layout":988,"text":1016},"\u003Ch2>\u003Cstrong>Gli strumenti per usare LLM in locale\u003C/strong>\u003C/h2>\n\u003Ch3>\u003Cstrong>Ollama per iniziare rapidamente\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Ca href=\"https://datamasters.it/blog/ollama/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">Ollama\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> offre comandi per gestire modelli e un’API. È un punto di ingresso pratico se vuoi usare il \u003C/span>\u003Cb>terminale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e collegare una tua applicazione.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>LM Studio per un’interfaccia grafica\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Con LM Studio puoi conversare con modelli scaricati e documenti attraverso un’\u003C/span>\u003Cb>interfaccia grafica\u003C/b>\u003Cspan style=\"font-weight: 400;\">. La guida offline distingue queste funzioni dalle operazioni che richiedono rete.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>llama.cpp per maggiore controllo tecnico\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">llama.cpp offre un motore in C/C++ con diverse opzioni hardware. È utile quando vuoi configurare direttamente l’esecuzione di un modello compatibile, anche nel formato GGUF descritto più avanti.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Come installare il primo LLM con Ollama\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">I comandi seguenti sono \u003C/span>\u003Cb>esempi basati sulla documentazione\u003C/b>\u003Cspan style=\"font-weight: 400;\"> di Ollama.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Installare Ollama sul sistema operativo\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Dal quickstart ufficiale scegli Windows, macOS o Linux. Completa l’installazione e apri un terminale. Se il server non è attivo, la \u003C/span>\u003Ca href=\"https://docs.ollama.com/cli\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">CLI documenta\u003C/span>\u003C/a> \u003Cspan style=\"font-weight: 400;\">ollama serve\u003C/span>\u003Cspan style=\"font-weight: 400;\"> per avviarlo.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Scaricare un modello compatibile e avviare una conversazione\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">Con una connessione disponibile, scarica il modello e apri la chat.\u003C/span>\u003C/p>\n\u003Cpre>\u003Cstrong>ollama pull qwen3:0.6b\u003C/strong>\r\n\r\n\u003Cstrong>ollama run qwen3:0.6b\u003C/strong>\u003C/pre>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">Scrivi un breve appunto inventato e chiedi un riassunto senza aggiunte. Confronta la risposta con l’originale prima di passare a documenti più lunghi.\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Gestire modelli, aggiornamenti e spazio occupato\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cstrong>“ollama ls”\u003C/strong>\u003Cspan style=\"font-weight: 400;\"> elenca i modelli scaricati, mentre “\u003C/span>\u003Cstrong>ollama ps”\u003C/strong>\u003Cspan style=\"font-weight: 400;\"> mostra quelli in esecuzione. \u003C/span>\u003Cspan style=\"font-weight: 400;\">ollama stop qwen3:0.6b\u003C/span>\u003Cspan style=\"font-weight: 400;\"> ferma il modello e \u003C/span>\u003Cspan style=\"font-weight: 400;\">ollama rm qwen3:0.6b\u003C/span>\u003Cspan style=\"font-weight: 400;\"> lo rimuove. Segui le istruzioni del tuo sistema operativo per aggiornare Ollama.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Usare l’API locale di Ollama\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il server usa di default l’indirizzo \u003C/span>\u003Cb>127.0.0.1:11434\u003C/b>\u003Cspan style=\"font-weight: 400;\">. Questo esempio PowerShell invia una richiesta all’\u003C/span>\u003Ca href=\"https://docs.ollama.com/api/chat\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">endpoint chat\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">, con risposta senza streaming, cioè senza ricevere il testo progressivamente.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp>\u003Cimg decoding=\"async\" class=\"\" src=\"https://website-prod.datamasters.it/wp-content/uploads/2026/10/Screenshot-2026-10-30-124234.png\" alt=\"Unsloth\" width=\"722\" height=\"481\" />\u003Cbr />\n\u003Cimg decoding=\"async\" class=\"\" src=\"https://website-prod.datamasters.it/wp-content/uploads/2026/10/inline-02-14.png\" alt=\"Unsloth\" width=\"722\" height=\"481\" />\u003C/p>\n\u003Ch2>\u003Cstrong>Come usare un modello GGUF con llama.cpp\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Ca href=\"https://raw.githubusercontent.com/ggml-org/ggml/master/docs/gguf.md\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">GGUF\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> è un \u003C/span>\u003Cb>formato per archiviare modelli\u003C/b>\u003Cspan style=\"font-weight: 400;\">, con pesi e informazioni necessarie al caricamento per eseguire un modello con llama.cpp puoi provare questo comando:\u003C/span>\u003C/span>\u003C/p>\n\u003Cpre>\u003Cstrong>llama cli -hf ggml-org/Qwen3.5-0.8B-GGUF\u003C/strong>\u003C/pre>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il primo download richiede una connessione alla rete. Per la \u003C/span>\u003Cb>modalità server\u003C/b>\u003Cspan style=\"font-weight: 400;\">, il README propone \u003C/span>\u003Cspan style=\"font-weight: 400;\">llama serve -hf ggml-org/Qwen3.5-0.8B-GGUF\u003C/span>\u003Cspan style=\"font-weight: 400;\">. Controlla la sintassi della versione installata prima di combinare istruzioni tratte da release diverse.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Quantizzazione e prestazioni\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">La \u003C/span>\u003Cb>quantizzazione\u003C/b>\u003Cspan style=\"font-weight: 400;\"> rappresenta i pesi con precisione ridotta per contenere le risorse richieste. llama.cpp supporta diversi livelli, ad esempio Q4_K_M, riportato per il modello di prova, identifica una rappresentazione quantizzata.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Confronta la qualità delle risposte usando \u003C/span>\u003Cb>lo stesso input\u003C/b>\u003Cspan style=\"font-weight: 400;\"> fra le prove, poi osserva velocità e memoria. Anche ampliare il contesto cambia il consumo di memoria. Una risposta rapida che omette informazioni può essere inadatta al tuo compito.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Cosa si può fare con un LLM locale\u003C/strong>\u003C/h2>\n\u003Ch3>\u003Cstrong>Scrittura, documenti e sviluppo software\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Come esercizio puoi riassumere un appunto o tradurre un testo. Se lavori con il codice, chiedi una spiegazione e confrontala con ciò che sai verificare. LM Studio documenta anche conversazioni con \u003C/span>\u003Cb>documenti locali\u003C/b>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Creare un sistema RAG locale\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Un sistema \u003C/span>\u003Cb>RAG\u003C/b>\u003Cspan style=\"font-weight: 400;\"> recupera documenti pertinenti e li fornisce al modello per rispondere. Ollama offre un \u003C/span>\u003Ca href=\"https://docs.ollama.com/api/embed\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">endpoint per embedding\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">, rappresentazioni numeriche del testo utili al recupero. Occorre un modello adatto e un’applicazione che gestisca il flusso completo.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Collegare il modello ad app e automazioni\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">L’API chat permette di inviare richieste da un programma. Quando aggiungi servizi, controlla il percorso dei dati di ciascuna integrazione, compresa l’eventuale ricerca web.\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Usare modelli locali per dati aziendali riservati\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Definisci chi può accedere ai documenti e dove vengono conservati. Per progettare questi controlli approfondisci come \u003C/span>\u003Ca href=\"https://datamasters.it/blog/ai-security-come-proteggere-llm-ed-agenti-ai/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">proteggere gli LLM\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> prima di collegare cartelle aziendali.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Limiti e problemi frequenti\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Se il modello è lento, guarda \u003C/span>\u003Cb>memoria e contesto\u003C/b>\u003Cspan style=\"font-weight: 400;\">. \u003C/span>\u003Cspan style=\"font-weight: 400;\">ollama ps\u003C/span>\u003Cspan style=\"font-weight: 400;\"> mostra anche se l’esecuzione usa CPU, GPU o entrambe. Se l’API non risponde, controlla che il server sia attivo e l’indirizzo corretto. Quando una richiesta raggiunge il cloud, ricontrolla modello e backend selezionati.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per una risposta errata conserva \u003C/span>\u003Cb>input e output\u003C/b>\u003Cspan style=\"font-weight: 400;\">, poi ripeti la prova dopo la modifica. Cambiare runtime non dimostra da solo che il contenuto sia diventato corretto.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>LLM locale o servizio cloud: quale scegliere\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Valuta il locale se vuoi \u003C/span>\u003Cb>gestire l’ambiente\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e puoi dedicarvi risorse. Il cloud permette di delegare l’infrastruttura, quando i vincoli sui dati consentono il servizio scelto.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Confronta entrambe le opzioni su \u003C/span>\u003Cb>un compito reale\u003C/b>\u003Cspan style=\"font-weight: 400;\">, annotando gli errori nelle risposte e i tempi. Considera poi la manutenzione richiesta. Se lavorare senza connessione è un requisito, verifica l’intera procedura offline dopo i download.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>Come iniziare con un LLM in locale\u003C/strong>\u003C/h2>\n\u003Ch3>\u003Cstrong>Scegliere un caso d’uso e provare un modello compatibile\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Installa un solo strumento e scegli una \u003C/span>\u003Cb>prova circoscritta\u003C/b>\u003Cspan style=\"font-weight: 400;\">, come riassumere appunti non sensibili. Usa la procedura descritta prima di aggiungere altri componenti.\u003C/span>\u003C/span>\u003C/p>\n\u003Ch3>\u003Cstrong>Misurare il risultato prima di aggiungere RAG o automazioni\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per strutturare i controlli puoi approfondire \u003C/span>\u003Ca href=\"https://datamasters.it/catalogo/corsi/fondamenti-di-ai-security/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">Fondamenti di AI Security\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> e, per agenti che compiono azioni, \u003C/span>\u003Ca href=\"https://datamasters.it/catalogo/corsi/agentic-ai-security/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">Agentic AI Security\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">. Conserva il testo iniziale e annota \u003C/span>\u003Cb>errori, tempi e memoria\u003C/b>\u003Cspan style=\"font-weight: 400;\"> della prima prova, poi ripeti lo stesso compito dopo ogni modifica.\u003C/span>\u003C/span>\u003C/p>\n",{"block_layout":1018,"classes":1019,"bg_color":1020,"api_url":1021,"text":1022,"form":1023},"newsletter_form","gutter-mt-xl","color-primary-50","/wp-json/dm/v1/newsletter","\u003Ch6>NEWSLETTER\u003C/h6>\n\u003Cp class=\"font-size-body-1\">Ricevi direttamente sulla tua mail gli ultimi articoli pubblicati nella nostra sezione AI NEWS per rimanere sempre aggiornato e non perderti nessun contenuto.\u003C/p>\n",{"name_label":1006,"name_placeholder":1007,"surname_label":1008,"surname_placeholder":1009,"email_label":1010,"email_placeholder":1011,"privacy_text":1012,"submit_text":1013,"confirm_message":1024,"ac_list":1025,"ac_tags":1026},"Grazie per esserti iscritto alla nostra newsletter!\u003Cbr />\r\nOra riceverai direttamente nella tua casella di posta gli ultimi aggiornamenti dal mondo AI e Data Science per essere sempre al passo con le novità del settore.","247a13cb61d3b889:40079349df7b3391e8a726ec94e21de0f7360640:g42r8SYvhncOpSQPHxek0A==","720809551074637a:609fdff123ce26f11d78f238863e8884b003833b:40jIRedSw9XuIaxGhCgCLw==",{"first_name":1028,"last_name":1029,"avatar":1030,"linkedin_url":1045,"description":1046},"Vincenzo","Maritati",{"ID":1031,"id":1031,"title":1032,"filename":1033,"filesize":1034,"url":1035,"alt":942,"author":1036,"description":19,"caption":19,"name":1037,"status":1038,"uploaded_to":766,"date":1039,"modified":1040,"menu_order":1041,"mime_type":922,"type":1042,"subtype":1043,"width":1044,"height":1044},24368,"Vincenzo-Maritati","vincenzo2.png",878268,"https://website-prod.datamasters.it/wp-content/uploads/2024/07/vincenzo2.png","7","vincenzo2","inherit","2024-07-05 10:11:16","2024-07-05 10:12:01",0,"image","png",1080,"https://www.linkedin.com/in/vincenzo-maritati/","\u003Cp>Vincenzo è Co-founder di Data Masters, AI Academy per la formazione in Intelligenza Artificiale, Machine Learning e Data Science. È un \u003Cstrong>ricercatore informatico\u003C/strong> che lavora attivamente \u003Cstrong>nel campo dell’Intelligenza Artificiale\u003C/strong>, coordinando \u003Cstrong>progetti di ricerca e sviluppo\u003C/strong> che spaziano in diversi ambiti, come la mobilità intelligente, sistemi di telemedicina, la manutenzione predittiva, il controllo della produzione industriale e la formazione.\u003C/p>\n",[1048,1050,1052],{"label":900,"link":1049},"https://datamasters.it/blog/?tag=fine-tuning",{"label":902,"link":1051},"https://datamasters.it/blog/?tag=llm",{"label":904,"link":1053},"https://datamasters.it/blog/?tag=unsloth",[1055,1073,1089,1108,1126,1142,1158,1174,1192,1208,1236,1250],{"id":1056,"image":1057,"raw_date":1059,"date":1060,"date_day":1061,"date_month":1062,"title":1063,"excerpt":1064,"url":1065,"taxonomies":1066,"is_webinar":678},29091,{"url":1058,"width":985,"height":985,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2026/06/ChatGPT-Image-Jun-15-2026-06_12_50-PM.png","2026-06-15T12:56:59+02:00","15 Giugno 2026","15","Giu","Guida a Ollama, lo strumento open-source per eseguire LLM in locale","Negli ultimi mesi, e ancora di più guardando alle limitazioni presenti e future dei principali provider cloud, molte persone stanno valutando Ollama e strumenti simili per avere un LLM che […]","https://datamasters.it/blog/ollama/",{"category":1067,"tag":1069},[1068],"blog",[1070,1071,1072],"llm","ollama","open-source",{"id":1074,"image":1075,"raw_date":1077,"date":1078,"date_day":1079,"date_month":1080,"title":1081,"excerpt":1082,"url":1083,"taxonomies":1084,"is_webinar":678},28959,{"url":1076,"width":985,"height":985,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2026/05/ChatGPT-Image-May-23-2026-10_35_18-AM.png","2026-05-25T10:43:55+02:00","25 Maggio 2026","25","Mag","Mercury 2: scopri il primo LLM di ragionamento a diffusione","Se un’AI risponde quasi in tempo reale, la prima tentazione è applaudire, la seconda, sicuramente più utile, è chiedersi come ci riesca. Mercury 2 di Inception Labs nasce esattamente su […]","https://datamasters.it/blog/mercury/",{"category":1085,"tag":1086},[1068],[1087,1070,1088],"gpt","mercury-2",{"id":1090,"image":1091,"raw_date":1095,"date":1096,"date_day":1097,"date_month":1098,"title":1099,"excerpt":1100,"url":1101,"taxonomies":1102,"is_webinar":678},28640,{"url":1092,"width":1093,"height":1094,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2026/03/standard-quality-control-concept-m.jpg",1600,1068,"2026-03-19T10:28:54+01:00","19 Marzo 2026","19","Mar","Quali sono i rischi per la privacy con gli LLM? Le regole della sicurezza dati","I dati personali sono diventati valuta durevole e preziosa e affidarsi ai Large Language Models (LLM) per processarli è sempre più inevitabile. Affascinante, sì. Ma a quale prezzo?  Gli LLM […]","https://datamasters.it/blog/llm-privacy/",{"category":1103,"tag":1104},[1068],[1105,1106,1070,1107],"ai-security","large-language-models","sicurezza-dei-dati",{"id":1109,"image":1110,"raw_date":1114,"date":1115,"date_day":1116,"date_month":1117,"title":1118,"excerpt":1119,"url":1120,"taxonomies":1121,"is_webinar":678},28283,{"url":1111,"width":1112,"height":1113,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2026/01/teamdatamasters_crea_unimmagine_sullAI_Security_e_di_come_pro_c84af496-7569-45ee-b840-6111cbb75f21_2.png",1232,928,"2026-02-05T08:00:06+01:00","5 Febbraio 2026","05","Feb","AI Security: come proteggere LLM ed agenti AI","L’intelligenza artificiale generativa ormai la vediamo ovunque, in azienda la usiamo per scrivere mail, riassumere documenti, rispondere ai clienti, persino per prendere decisioni operative. E, quasi sempre, il motore sotto […]","https://datamasters.it/blog/ai-security-come-proteggere-llm-ed-agenti-ai/",{"category":1122,"tag":1123},[1068],[1124,1105,1070,1125],"ai-agents","prompt-injection",{"id":1127,"image":1128,"raw_date":1131,"date":1132,"date_day":1133,"date_month":1134,"title":1135,"excerpt":1136,"url":1137,"taxonomies":1138,"is_webinar":678},27652,{"url":1129,"width":1093,"height":1130,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2025/09/businessman-pointing-pen-virtual-ai-icon-future-artificial-intelligence-innovation.jpg",900,"2025-09-08T11:37:44+02:00","8 Settembre 2025","08","Set","Flowith: il primo agente AI completo","In una nostra recente analisi abbiamo identificato gli agenti AI come uno dei fenomeni tecnologici più rilevanti del 2025. Mentre molti strumenti di intelligenza artificiale eccellono in compiti specifici, la […]","https://datamasters.it/blog/flowith/",{"category":1139,"tag":1140},[1068],[1124,1141,1070],"flowith",{"id":1143,"image":1144,"raw_date":1147,"date":1148,"date_day":1149,"date_month":1134,"title":1150,"excerpt":1151,"url":1152,"taxonomies":1153,"is_webinar":678},27638,{"url":1145,"width":1093,"height":1146,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2025/09/businessman-using-computer-keyboard-command-create-prompt-with-ai-artificial-technology-include-chatting-bot-message-robot-control-cloud-computing-security-generate-art-concept.jpg",1049,"2025-09-04T11:57:01+02:00","4 Settembre 2025","04","MiniMax-M1: LLM open-source di MiniMax all'avanguardia!","In un settore dominato da giganti tecnologici che spesso custodiscono gelosamente i loro algoritmi, la scelta di MiniMax di rendere M1 open-weight rappresenta una dichiarazione d’intenti. Ma non è solo […]","https://datamasters.it/blog/minimax-m1-llm-open-source-di-minimax-allavanguardia/",{"category":1154,"tag":1155},[1068],[1106,1070,1156,1157],"minimax","minimax-m1",{"id":1159,"image":1160,"raw_date":1163,"date":1164,"date_day":1165,"date_month":1166,"title":1167,"excerpt":1168,"url":1169,"taxonomies":1170,"is_webinar":678},27571,{"url":1161,"width":1093,"height":1162,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2025/08/business-person-using-laptop-with-floating-digital-data-graphs-charts-futuristic-tech-background.jpg",914,"2025-08-07T10:39:36+02:00","7 Agosto 2025","07","Ago","Agent Zero: il nuovo agente AI che automatizza ogni cosa","Recentemente, numerose aziende si stanno dedicando allo sviluppo di agenti AI innovativi, dato che a differenza dei chatbot tradizionali a cui siamo ormai abituati, queste nuove soluzioni sono in grado […]","https://datamasters.it/blog/agent-zero-il-nuovo-agente-ai-che-automatizza-ogni-cosa/",{"category":1171,"tag":1172},[1068],[1173,1124,1070],"agent-zero",{"id":1175,"image":1176,"raw_date":1179,"date":1180,"date_day":1116,"date_month":1166,"title":1181,"excerpt":1182,"url":1183,"taxonomies":1184,"is_webinar":678},27560,{"url":1177,"width":1093,"height":1178,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2025/08/friends-working-office.jpg",1067,"2025-08-05T08:30:18+02:00","5 Agosto 2025","MedGemma: i modelli AI di Google in ambito medico","Google ha recentemente scosso il mondo dell’intelligenza artificiale applicata alla medicina con il rilascio di MedGemma, una suite di modelli all’avanguardia pensati appositamente per analizzare e processare dati medici multimodali. […]","https://datamasters.it/blog/medgemma-i-modelli-ai-di-google-in-ambito-medico/",{"category":1185,"tag":1186},[1068],[1187,1188,1189,1070,1190,1191],"ai-google-nella-medicina","google-medgemma","intelligenza-artificiale-sanita","medgemma","modelli-linguistici-ai",{"id":1193,"image":1194,"raw_date":1197,"date":1198,"date_day":1199,"date_month":1062,"title":1200,"excerpt":1201,"url":1202,"taxonomies":1203,"is_webinar":678},27053,{"url":1195,"width":1093,"height":1196,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2025/06/technology-ai-artificial-intelligence-person-who-uses-artificial-intelligence-ai-smart-robot-technology-by-inputting-commands-create-something-future-technological-changes.jpg",882,"2025-06-12T10:24:27+02:00","12 Giugno 2025","12","Vy di Vercept: il nuovo irrinunciabile agente per Mac?","Nello sterminato universo dell’intelligenza artificiale, dove ogni settimana spunta un nuovo LLM capace delle più entusiasmanti attività, l’arrivo di un “agente AI” dedicato specificamente all’ambiente Mac potrebbe sembrare l’ennesima goccia […]","https://datamasters.it/blog/vy-di-vercept-il-nuovo-irrinunciabile-agente-per-mac/",{"category":1204,"tag":1205},[1068],[1206,1124,1070,1207],"ai","vy-di-vercept",{"id":1209,"image":1210,"raw_date":1213,"date":1214,"date_day":1097,"date_month":1215,"title":1216,"excerpt":1217,"url":1218,"taxonomies":1219,"is_webinar":678},24846,{"url":1211,"width":1093,"height":1212,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2024/07/blockchain-technology-illustration-created-with-generative-ai-scaled-1.jpg",1066,"2024-07-19T11:13:20+02:00","19 Luglio 2024","Lug","Come funziona LangChain e come può essere impiegato","Cos’è LangChain LangChain è una delle tecnologie emergenti più interessanti nel campo dell’Intelligenza Artificiale e del Machine Learning, specificamente progettata per l’integrazione e l’implementazione di modelli linguistici di grandi dimensioni […]","https://datamasters.it/blog/langchain-cose-e-a-cosa-serve/",{"category":1220,"tag":1221},[1068],[1222,1223,1224,1225,1226,1227,1106,1228,1070,1229,1230,1231,1232,1233,1234,1235],"agenti-intelligenti","applicazioni-agentiche","assistenti-virtuali","chatbot","embedding","langchain","librerie-python","query","rag","retrieval-augmented-generation","sistemi-di-raccomandazione","tutor-virtuali","vector-db","vector-store",{"id":1237,"image":1238,"raw_date":1241,"date":1242,"date_day":1199,"date_month":1215,"title":1243,"excerpt":1244,"url":1245,"taxonomies":1246,"is_webinar":678},24857,{"url":1239,"width":1093,"height":1240,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2024/07/robotics-machine-learning-hands-human-robot-touching-big-data-network-background-science-technology-innovation-future-scaled-1.jpg",842,"2024-07-12T12:23:16+02:00","12 Luglio 2024","Cos'è un LLM e come funziona","Nell’era digitale in cui viviamo, è sotto gli occhi di tutti come l’Intelligenza Artificiale (IA, o AI da Artificial Intelligence) sta rivoluzionando sempre più il modo in cui interagiamo con […]","https://datamasters.it/blog/llm-cosa-sono-i-modelli-linguistici-di-grandi-dimensioni/",{"category":1247,"tag":1248},[1068],[1206,1106,1070,1249],"natural-language-processing",{"id":1251,"image":1252,"raw_date":1255,"date":1256,"date_day":1257,"date_month":1062,"title":1258,"excerpt":1259,"url":1260,"taxonomies":1261,"is_webinar":678},22829,{"url":1253,"width":1254,"height":1044,"alt":19},"https://website-prod.datamasters.it/wp-content/uploads/2024/06/Senza-titolo-2-1-1.jpg",1920,"2024-06-06T20:48:15+02:00","6 Giugno 2024","06","Agentic Applications: Una Guida Completa","Le Agentic Applications, o applicazioni agentiche, rappresentano una nuova frontiera nel campo dell’Intelligenza Artificiale, aprendo un mondo di possibilità nell’interazione uomo-macchina e nell’automazione di compiti complessi. In questo articolo, approfondiremo […]","https://datamasters.it/blog/agentic-applications-una-guida-completa/",{"category":1262,"tag":1263},[1068],[1264,1223,1265,1225,1266,1267,1268,1087,1269,1227,1106,1070,1270,1230],"agentic-applications","apprendimento-automatico","elaborazione-del-linguaggio-naturale","gemini","gemma","intelligenza-artificiale","openai",[1272],{"block_layout":1273,"gutter_top":1274,"gutter_bottom":1274,"bg_color":1275,"fg_color":185,"text":1276,"cta":1277,"small":678},"banner_icon_cta","xxl","color-primary-600","\u003Ch4 class=\"fw-semibold\" style=\"text-align: center;\">ISCRIVITI ED INIZIA\u003Cbr />\nAD IMPARARE SUBITO GRATIS\u003C/h4>\n\u003Cp class=\"font-size-body-1\" style=\"text-align: center;\">Accedi ora a risorse di apprendimento gratuite di alta qualità e trasforma le tue ambizioni\u003Cbr />\nin competenze concrete. Il tuo viaggio verso il successo inizia oggi!\u003C/p>\n",{"link":1278,"config":1280},{"title":119,"url":1279,"target":15},"https://datamasters.it/catalogo/?price=gratuito",{"variant":161,"theme":1281,"size":1000},"theme-white",1793361690656]