March 2025
Intermediate to advanced
428 pages
11h 23m
Italian
Content preview from Modelli linguistici di grandi dimensioni pratici
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Capitolo 8. Ricerca e recupero semantico - Generazione aumentata
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Search è stata una delle prime applicazioni del modello linguistico di a vedere un'ampia adozione da parte del settore. Mesi dopo la pubblicazione del documento seminale "BERT: Pre-training of deep bidirectional transformers for language understanding" (2018), Google ha annunciato che lo utilizzava per alimentare Google Search e che rappresentava "uno dei più grandi passi avanti nella storia della ricerca". Per non essere da meno, anche Microsoft Bing ha dichiarato che "A partire da aprile di quest'anno, abbiamo utilizzato modelli di trasformatori di grandi dimensioni per fornire i più grandi miglioramenti di qualità ai nostri clienti Bing nell'ultimo anno".
Questa è una chiara testimonianza della potenza e dell'utilità di questi modelli. La loro aggiunta migliora istantaneamente e drasticamente alcuni dei sistemi più maturi e curati su cui fanno affidamento miliardi di persone in tutto il pianeta. La capacità che aggiungono è chiamataricerca semantica , che consente di effettuare ricerche in base al significato e non semplicemente in base alle parole chiave.
A parte questo, la rapida adozione dei modelli di generazione del testo ha portato molti utenti a porre domande ai modelli e ad aspettarsi risposte concrete. Sebbene i modelli fossero in grado di rispondere in modo fluido ...
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