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Ingegneria dell'IA per principianti: Una guida pratica e concreta per la creazione di applicazioni LLM, sistemi RAG, agenti di intelligenza artificial
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Publisher: Independently Published
Pages: 540
Weight: 2.72
Height: 1.09 Width: 8.50 Depth: 11.00
Language: Italian
Crea applicazioni di intelligenza artificiale che facciano molto più che generare testo.
L'intelligenza artificiale ha reso più facile che mai accedere a potenti modelli linguistici. Ma trasformare un modello in un'applicazione utile e affidabile richiede molto più che scrivere un prompt.
Ingegneria dell'IA per principianti Questo libro offre un'introduzione pratica e concreta ai principi ingegneristici alla base delle moderne applicazioni di apprendimento automatico. Invece di trattare l'IA come una semplice raccolta di strumenti alla moda, vi accompagnerà in tutto il percorso, dalla prima chiamata API al modello fino all'architettura, alla sicurezza, alla valutazione e all'ottimizzazione dei sistemi di IA in produzione.
Imparerai a pensare all'intelligenza artificiale come a un sistema, non semplicemente come a un modello.
All'interno del libro imparerai come:
- Crea la tua prima applicazione LLM e comprendi come funzionano le API del modello.
- Progettare prompt efficaci come parte integrante dell'applicazione, anziché affidarsi a istruzioni magiche.
- Utilizzare output strutturati, schemi, convalida e richiamo di strumenti per connettere l'IA con il software convenzionale.
- Lavorare con embedding, ricerca semantica, database vettoriali e recupero basato sulla similarità .
- Realizzare sistemi di generazione aumentata tramite recupero (RAG) che colleghino i modelli linguistici alla conoscenza esterna.
- Diagnosticare i fallimenti RAG e valutare la qualità del recupero, la fondatezza, la pertinenza e la qualità della risposta.
- Creare agenti di intelligenza artificiale che utilizzino strumenti, prendano decisioni, gestiscano lo stato ed eseguano attività a più fasi.
- Comprendere l'iniezione immediata, le autorizzazioni, i meccanismi di protezione, la sicurezza degli strumenti e altre considerazioni di sicurezza per i sistemi agenti.
- Progettare architetture di intelligenza artificiale per la produzione, con funzionalità di monitoraggio, registrazione, gestione degli errori, scalabilità , caching e controllo dei costi.
- Valutare e ottimizzare i sistemi di intelligenza artificiale in termini di qualità , latenza, affidabilità e costi.
- Realizzare sistemi di intelligenza artificiale responsabili, manutenibili e progettati per gestire i guasti.
Il libro sottolinea il ragionamento alla base delle decisioni ingegneristiche. Imparerai non solo Che cosa costruire, ma anche Quando una determinata tecnica è appropriata, cosa può andare storto e come determinare se la soluzione sta effettivamente funzionando..
Che tu sia uno sviluppatore che si affaccia al mondo dell'IA, un ingegnere del software che aggiunge funzionalità LLM a un'applicazione, uno studente di discipline tecniche che realizza progetti, o qualcuno che desidera una solida base nello sviluppo di applicazioni di IA moderne, questo libro offre un percorso strutturato che va dai concetti alla pratica ingegneristica concreta.
Non è necessario diventare un ricercatore di apprendimento automatico per poter iniziare a costruire.
È necessario comprendere i componenti, collegarli in modo intelligente, testare ciò che si costruisce e migliorarlo sistematicamente.
Parti dalle basi. Costruisci i sistemi. Impara a valutarli. Poi mettili in produzione.
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