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a Ollama, lo strumento open-source per eseguire LLM in locale","\u003Ch1>\u003Cstrong>Guida a \u003Cspan class=\"text-color-primary-400\">Ollama,\u003C/span> lo strumento open-source per eseguire LLM in locale\u003C/strong>\u003C/h1>\n","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 gira totalmente in locale, nella propria infrastruttura.  L’idea di tenere i dati “in casa” sembra una scorciatoia per risolvere privacy, controllo e dipendenze da servizi […]",29091,"15 Giugno 2026",{"url":845,"width":846,"height":846,"alt":54},"https://website-prod.datamasters.it/wp-content/uploads/2026/06/ChatGPT-Image-Jun-15-2026-06_12_50-PM.png",1254,[848,852,876,878],{"block_layout":849,"classes":850,"text":851},"simple_text","above-the-fold","\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Negli ultimi mesi, e ancora di più guardando alle limitazioni presenti e future dei principali provider cloud, molte persone stanno valutando \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e strumenti simili per avere un \u003C/span>\u003Cb>LLM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> che gira totalmente in \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\">, nella propria infrastruttura. \u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">L’idea di tenere i dati “in casa” sembra una scorciatoia per risolvere \u003C/span>\u003Cb>privacy\u003C/b>\u003Cspan style=\"font-weight: 400;\">, controllo e dipendenze da servizi esterni. Ma eseguire un \u003C/span>\u003Cb>LLM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> in \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\">, da solo, non sistema automaticamente qualità dell’output, logging, gestione degli accessi o rischi di \u003C/span>\u003Cb>prompt injection\u003C/b>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Cos’è Ollama e come funziona\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per rispondere bene alla domanda su cosa è \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> bisogna partire da una distinzione semplice. Un \u003C/span>\u003Cb>LLM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è un modello linguistico di grandi dimensioni addestrato su grandi quantità di testo per generare, completare o trasformare linguaggio naturale. Un \u003C/span>\u003Cb>LLM\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è lo stesso tipo di modello eseguito sul dispositivo o su un’infrastruttura controllata dall’organizzazione \u003C/span>\u003Cb>invece che su un servizio cloud esterno\u003C/b>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è un programma che permette di eseguire modelli linguistici in \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e fornisce interfacce per il download, la gestione e l’avvio dei \u003C/span>\u003Cb>LLM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e modelli di embedding. Il software fa da runtime \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e da punto di accesso ai modelli, così chi sviluppa o sperimenta non deve costruire da zero tutta la parte di gestione.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Quello che si fa solitamente è scegliere un modello, scaricarlo, avviarlo in \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e poi interrogarlo tramite interfaccia o tramite un server/\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> esposto dal sistema. La differenza importante è che avere un modello sul proprio computer non significa ancora averlo integrato in un’applicazione. Nel primo caso si sta eseguendo un asset tecnico, nel secondo si sta costruendo un sistema con logica, dati, permessi, validazioni e interazioni con altri componenti.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch3>\u003Cstrong>Come Ollama gestisce i modelli linguistici di grandi dimensioni (LLM)\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan style=\"font-weight: 400;\">Per capire cosa fa \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> bisogna evitare un equivoco motlo frequente: \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> non crea i modelli e non li addestra, li orchestra in \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e li rende usabili attraverso un’interfaccia e un server/\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\">. Questo è il punto tecnico che rende interessanti i modelli linguistici di grandi dimensioni \u003C/span>\u003Cb>locali\u003C/b>\u003Cspan style=\"font-weight: 400;\"> per team di sviluppo, laboratori interni e ambienti controllati.\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan style=\"font-weight: 400;\">La gestione pratica conta perché consente di scaricare un modello, avviarlo e interrogarlo senza dipendere da un provider remoto per ogni richiesta. Se si lavora offline o dentro infrastrutture con vincoli di rete, questa architettura diventa molto concreta. Ma il fatto che le il modello giri in casa basta davvero a renderlo sicuro?\u003C/span>\u003C/p>\n",{"block_layout":853,"gutter_top":854,"gutter_bottom":854,"list":855,"h_align":875,"v_align":875},"cta_list","xl",[856],{"link":857,"config":859,"modal":863},{"title":858,"url":143,"target":54},"ISCRIVITI ALLA NEWSLETTER",{"variant":155,"theme":860,"size":861,"class":862},"theme-primary","size-default","iscritto-nl qs-link",{"api_url":864,"title":865,"text":866,"name_label":867,"name_placeholder":868,"surname_label":869,"surname_placeholder":870,"email_label":871,"email_placeholder":872,"privacy_text":873,"submit_text":874},"/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":849,"text":877},"\u003Ch2>\u003Cstrong>Cosa può fare Ollama per le aziende e gli sviluppatori\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">In ambito professionale il valore di \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> emerge quando un \u003C/span>\u003Cb>LLM\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> deve entrare in workflow interni senza passare da servizi cloud esterni, dato che si espone un server/\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\">, rendendo così possibile collegare il modello a strumenti, applicazioni e processi personalizzati.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per aziende e sviluppatori significa poter prototipare assistenti su documentazione interna, costruire interfacce di supporto per team tecnici, orchestrare automazioni su testi e ticket, oppure sperimentare strumenti di ricerca semantica in ambienti controllati. Chi lavora su competenze applicative di AI trova qui un terreno molto vicino alla pratica quotidiana del \u003C/span>\u003Ca href=\"https://datamasters.it/catalogo/percorsi-di-carriera/ai-developer/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">Percorso di carriera AI Developer\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">, dove il tema non è usare un modello in astratto ma inserirlo in architetture reali.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch3>\u003Cstrong>Esecuzione di LLM in locale per applicazioni personalizzate\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">L’utilità di un’\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è architetturale prima ancora che funzionale, se un team vuole costruire un chatbot interno, un proof of concept su documenti, un assistente per sviluppatori o un tool di ricerca testuale, avere il modello nella propria infrastruttura significa poter controllare integrazione e dipendenze in modo diretto. Le fonti ufficiali di \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> confermano proprio questa capacità di esporre un server/\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> per applicazioni e flussi personalizzati.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Questo approccio è interessante per chi vuole sviluppare sistemi su modelli linguistici di grandi dimensioni \u003C/span>\u003Cb>locali\u003C/b>\u003Cspan style=\"font-weight: 400;\"> senza inviare automaticamente contenuti a un provider cloud. Per farlo bene, però, servono competenze di machine learning, software engineering e validazione applicativa, cioè il tipo di base tecnica che si costruisce con dei \u003C/span>\u003Ca href=\"https://datamasters.it/corsi-di-machine-learning/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">corsi di machine learning\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch3>\u003Cstrong>Vantaggi dell’utilizzo di Ollama rispetto ad altre soluzioni cloud\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il vantaggio più chiaro dell’esecuzione \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è la riduzione dell’esposizione dei dati verso provider esterni, un punto coerente con la definizione di \u003C/span>\u003Cb>LLM\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\">. Se il modello gira in un’infrastruttura controllata, si può lavorare offline o in ambienti limitati e si mantiene un maggiore controllo sul perimetro tecnico.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Anche se l’architettura \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> può ridurre un rischio di esposizione ma non certifica da sola né \u003C/span>\u003Cb>sicurezza\u003C/b>\u003Cspan style=\"font-weight: 400;\"> né compliance.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch3>\u003Cstrong>Automazione di task complessi con LLM locali\u003C/strong>\u003C/h3>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Con \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> si possono supportare automazioni come classificazione di testi, estrazione di informazioni, riassunti e assistenza su ticket o documenti, perché il server/\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> permette di integrare il modello in flussi personalizzati, tuttavia, nelle applicazioni \u003C/span>\u003Cb>LLM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> i rischi includono \u003C/span>\u003Cb>prompt injection\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e insecure output handling.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Tradotto in pratica, l’automazione sensata non è quella che lascia il modello libero di decidere tutto. È quella in cui l’output viene validato, i passaggi delicati sono supervisionati e le interazioni con altri sistemi vengono controllate. Se volete esplorare anche il lato open source della GenAI in una prospettiva più ampia, vale la pena leggere il nostro articolo su \u003C/span>\u003Ca href=\"https://datamasters.it/blog/cosa-devi-sapere-su-deep-seek-lai-generativa-open-source/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">Deep Seek\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Come installare e configurare Ollama\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il percorso per l’installazione e la configurazione di \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> è abbastanza lineare. Si installa il software dal \u003C/span>\u003Ca href=\"https://ollama.com/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">canale ufficiale\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\">, si sceglie il modello che si vuole eseguire, lo si scarica tramite lo strumento e lo si avvia in \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\">. A quel punto il modello diventa interrogabile attraverso l’interfaccia prevista o tramite il server/\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> descritto nella documentazione del progetto.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\" style=\"font-weight: 400;\">Il punto che conta davvero non è il comando iniziale ma il salto di contesto, questo perché finché il test resta isolato, si sta verificando che il runtime funzioni, quando invece il modello viene collegato a documenti, applicazioni interne o pipeline automatizzate, entrano in gioco configurazione, permessi, logging e validazione degli output.\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Ollama e la sicurezza dei dati: una soluzione locale per la protezione dei dati\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Usare \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> in \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> può ridurre l’esposizione dei dati verso provider cloud esterni, ma non elimina i rischi che contano davvero in produzione.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Ca href=\"https://datamasters.it/blog/ai-security-come-proteggere-llm-ed-agenti-ai/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">OWASP\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> elenca oltre 10 categorie di rischio per le applicazioni \u003C/span>\u003Cb>LLM\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e tra queste ci sono \u003C/span>\u003Cb>prompt injection\u003C/b>\u003Cspan style=\"font-weight: 400;\">, insecure output handling, training data poisoning, model DoS e supply chain vulnerabilities. La \u003C/span>\u003Ca href=\"https://datamasters.it/blog/prompt-injection/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">prompt injection\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> è una tecnica in cui istruzioni malevole vengono inserite nel contesto letto dal modello, per esempio dentro documenti, pagine web o immagini. Questo significa che un assistente \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> che legge un PDF aziendale o una pagina esterna può comunque essere manipolato. L’insecure output handling riguarda invece l’uso non sicuro dell’output del modello senza validazione, sanificazione o controlli downstream, quindi il problema non è dove gira il modello ma cosa si fa con quello che produce.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Accuratezza, \u003C/span>\u003Cb>privacy\u003C/b>\u003Cspan style=\"font-weight: 400;\">, \u003C/span>\u003Cb>sicurezza\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e governo del rischio devono essere trattati come parti dello stesso sistema. Un’istanza \u003C/span>\u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> può avere logging improprio, controlli di accesso deboli, configurazioni sbagliate o dipendenze vulnerabili nella supply chain. Detto in modo molto semplice, usare \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> in \u003C/span>\u003Cb>sicurezza\u003C/b>\u003Cspan style=\"font-weight: 400;\"> non significa installare il software e stare tranquilli ma progettare controlli applicativi ed operativi attorno al modello.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n\u003Ch2>\u003Cstrong>Come integrare Ollama nei flussi aziendali e nei progetti AI: i consigli di Data Masters\u003C/strong>\u003C/h2>\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Il modo più solido per portare \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> in azienda è trattarlo come un componente di progetto e non come un tool da demo, bisogna partire da un caso d’uso limitato, dove il valore è comprensibile e il rischio è gestibile, poi definire controlli sugli input, regole sugli output, validazioni nei passaggi critici e monitoraggio dei comportamenti del sistema. L’\u003C/span>\u003Cb>API\u003C/b> \u003Cb>locale\u003C/b>\u003Cspan style=\"font-weight: 400;\"> di \u003C/span>\u003Cb>Ollama\u003C/b>\u003Cspan style=\"font-weight: 400;\"> rende questa integrazione praticabile, ma la praticabilità tecnica non sostituisce la governance.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Per questo conviene scegliere processi in cui il modello supporta l’operatore invece di sostituirlo subito, soprattutto quando i contenuti arrivano da fonti eterogenee o finiscono in workflow sensibili. \u003C/span>\u003Cb>Prompt injection\u003C/b>\u003Cspan style=\"font-weight: 400;\"> e output insicuro vanno testati esplicitamente, non presi come eventualità teoriche. Governance significa anche sapere chi può usare il sistema, quali dati entrano, dove finiscono i log e come si aggiornano componenti e dipendenze.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp class=\"font-size-body-1\">\n\u003Cp class=\"font-size-body-1\">\u003Cspan class=\"text-color-black\">\u003Cspan style=\"font-weight: 400;\">Se l’obiettivo è costruire applicazioni affidabili con \u003C/span>\u003Cb>LLM\u003C/b> \u003Cb>locali\u003C/b>\u003Cspan style=\"font-weight: 400;\">, la mentalità giusta è quella di un team di prodotto AI e non quella del tinkering occasionale. È il passaggio che distingue l’entusiasmo utile dalla superficialità tecnica, ed è anche il motivo per cui un percorso strutturato come il \u003C/span>\u003Ca href=\"https://datamasters.it/catalogo/percorsi-di-carriera/ai-developer/\" target=\"_blank\" rel=\"noopener\">\u003Cspan style=\"font-weight: 400;\">Percorso di carriera AI Developer\u003C/span>\u003C/a>\u003Cspan style=\"font-weight: 400;\"> ha più valore di una prova veloce fatta nel weekend.\u003C/span>\u003C/span>\u003C/p>\n\u003Cp> \u003C/p>\n",{"block_layout":879,"classes":880,"bg_color":881,"api_url":882,"text":883,"form":884},"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":867,"name_placeholder":868,"surname_label":869,"surname_placeholder":870,"email_label":871,"email_placeholder":872,"privacy_text":873,"submit_text":874,"confirm_message":885,"ac_list":886,"ac_tags":887},"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.","8c723e432a9e61b2:8765954c74218684f7d73494b9ad25fafffd8c72:v79ce6Lr7oMEEk1HxhbpSw==","44804bb4665cb27b:467fc77f86130069dbbb2cd9f8f8283865b3d7b5:g3o7wqrLXqO1xJZoX5urYQ==",{"first_name":889,"last_name":890,"avatar":891,"linkedin_url":906,"description":907},"Simone","Truglia",{"ID":892,"id":892,"title":893,"filename":894,"filesize":895,"url":896,"alt":803,"author":897,"description":54,"caption":54,"name":893,"status":898,"uploaded_to":899,"date":900,"modified":901,"menu_order":902,"mime_type":783,"type":903,"subtype":904,"width":905,"height":905},1330,"simone-truglia","simone-truglia-1.png",667231,"https://website-prod.datamasters.it/wp-content/uploads/2024/06/simone-truglia-1.png","7","inherit",1313,"2024-06-17 13:55:06","2024-06-17 13:56:20",0,"image","png",1080,"https://www.linkedin.com/in/simonetruglia/","\u003Cp>Simone è un \u003Cstrong>Ingegnere Informatico\u003C/strong> con specializzazione nei \u003Cb>sistemi automatici \u003C/b>e con una grande passione per la \u003Cb>matematica\u003C/b>, la \u003Cb>programmazione\u003C/b> e l’\u003Cb>intelligenza artificiale\u003C/b>. Ha lavorato con diverse aziende europee, aiutandole ad acquisire e ad estrarre il massimo valore dai principali dati a loro disposizione.\u003C/p>\n",[909,911,913],{"label":758,"link":910},"https://datamasters.it/blog/?tag=llm",{"label":760,"link":912},"https://datamasters.it/blog/?tag=ollama",{"label":762,"link":914},"https://datamasters.it/blog/?tag=open-source",[916,934,951,970,987,1003,1019,1035,1053,1069,1097,1111],{"id":917,"image":918,"raw_date":920,"date":921,"date_day":922,"date_month":923,"title":924,"excerpt":925,"url":926,"taxonomies":927,"is_webinar":543},29052,{"url":919,"width":846,"height":846,"alt":54},"https://website-prod.datamasters.it/wp-content/uploads/2026/06/ChatGPT-Image-Jun-10-2026-10_26_53-PM.png","2026-06-11T16:23:25+02:00","11 Giugno 2026","11","Giu","NanoClaw: l'agente AI open-source che sfida OpenClaw","In un momento in cui gli agenti AI vengono raccontati come assistenti personali “intelligenti” pronti all’uso, è facile confondere la comodità con il controllo e l’open‑source con la sicurezza automatica. […]","https://datamasters.it/blog/nanoclaw/",{"category":928,"tag":930},[929],"blog",[931,932,762,933],"ai-agents","nanoclaw","openclaw",{"id":935,"image":936,"raw_date":938,"date":939,"date_day":940,"date_month":941,"title":942,"excerpt":943,"url":944,"taxonomies":945,"is_webinar":543},28959,{"url":937,"width":846,"height":846,"alt":54},"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":946,"tag":947},[929],[948,949,950],"gpt","llm","mercury-2",{"id":952,"image":953,"raw_date":957,"date":958,"date_day":959,"date_month":960,"title":961,"excerpt":962,"url":963,"taxonomies":964,"is_webinar":543},28640,{"url":954,"width":955,"height":956,"alt":54},"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":965,"tag":966},[929],[967,968,949,969],"ai-security","large-language-models","sicurezza-dei-dati",{"id":971,"image":972,"raw_date":976,"date":977,"date_day":978,"date_month":979,"title":980,"excerpt":981,"url":982,"taxonomies":983,"is_webinar":543},28283,{"url":973,"width":974,"height":975,"alt":54},"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":984,"tag":985},[929],[931,967,949,986],"prompt-injection",{"id":988,"image":989,"raw_date":992,"date":993,"date_day":994,"date_month":995,"title":996,"excerpt":997,"url":998,"taxonomies":999,"is_webinar":543},27652,{"url":990,"width":955,"height":991,"alt":54},"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":1000,"tag":1001},[929],[931,1002,949],"flowith",{"id":1004,"image":1005,"raw_date":1008,"date":1009,"date_day":1010,"date_month":995,"title":1011,"excerpt":1012,"url":1013,"taxonomies":1014,"is_webinar":543},27638,{"url":1006,"width":955,"height":1007,"alt":54},"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":1015,"tag":1016},[929],[968,949,1017,1018],"minimax","minimax-m1",{"id":1020,"image":1021,"raw_date":1024,"date":1025,"date_day":1026,"date_month":1027,"title":1028,"excerpt":1029,"url":1030,"taxonomies":1031,"is_webinar":543},27571,{"url":1022,"width":955,"height":1023,"alt":54},"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":1032,"tag":1033},[929],[1034,931,949],"agent-zero",{"id":1036,"image":1037,"raw_date":1040,"date":1041,"date_day":978,"date_month":1027,"title":1042,"excerpt":1043,"url":1044,"taxonomies":1045,"is_webinar":543},27560,{"url":1038,"width":955,"height":1039,"alt":54},"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":1046,"tag":1047},[929],[1048,1049,1050,949,1051,1052],"ai-google-nella-medicina","google-medgemma","intelligenza-artificiale-sanita","medgemma","modelli-linguistici-ai",{"id":1054,"image":1055,"raw_date":1058,"date":1059,"date_day":1060,"date_month":923,"title":1061,"excerpt":1062,"url":1063,"taxonomies":1064,"is_webinar":543},27053,{"url":1056,"width":955,"height":1057,"alt":54},"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":1065,"tag":1066},[929],[1067,931,949,1068],"ai","vy-di-vercept",{"id":1070,"image":1071,"raw_date":1074,"date":1075,"date_day":959,"date_month":1076,"title":1077,"excerpt":1078,"url":1079,"taxonomies":1080,"is_webinar":543},24846,{"url":1072,"width":955,"height":1073,"alt":54},"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":1081,"tag":1082},[929],[1083,1084,1085,1086,1087,1088,968,1089,949,1090,1091,1092,1093,1094,1095,1096],"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":1098,"image":1099,"raw_date":1102,"date":1103,"date_day":1060,"date_month":1076,"title":1104,"excerpt":1105,"url":1106,"taxonomies":1107,"is_webinar":543},24857,{"url":1100,"width":955,"height":1101,"alt":54},"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":1108,"tag":1109},[929],[1067,968,949,1110],"natural-language-processing",{"id":1112,"image":1113,"raw_date":1116,"date":1117,"date_day":1118,"date_month":923,"title":1119,"excerpt":1120,"url":1121,"taxonomies":1122,"is_webinar":543},22829,{"url":1114,"width":1115,"height":905,"alt":54},"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":1123,"tag":1124},[929],[1125,1084,1126,1086,1127,1128,1129,948,1130,1088,968,949,1131,1091],"agentic-applications","apprendimento-automatico","elaborazione-del-linguaggio-naturale","gemini","gemma","intelligenza-artificiale","openai",[1133],{"block_layout":1134,"gutter_top":1135,"gutter_bottom":1135,"bg_color":1136,"fg_color":172,"text":1137,"cta":1138,"small":543},"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":1139,"config":1141},{"title":113,"url":1140,"target":15},"https://datamasters.it/catalogo/?price=gratuito",{"variant":155,"theme":1142,"size":861},"theme-white",1781621401779]