Transformative AI for readers: leveraging NLP, transformers and retrieval-augmented generation to build an AI-driven book companion
Menchali, Adib (A.A. 2023/2024) Transformative AI for readers: leveraging NLP, transformers and retrieval-augmented generation to build an AI-driven book companion. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Alessio Martino, pp. 61. [Master's Degree Thesis]
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Abstract/Index
Literature review. Natural language processing. Transformers. Book recommendation systems. Methodology. Named entity recognition. Data collection. Information retrieval-based question-answering. Implementation. Demonstration of the AI assistant.
References
Bibliografia: pp. 57-58.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Data science in action |
| Thesis Supervisor: | Martino, Alessio |
| Thesis Co-Supervisor: | Finocchi, Irene |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 17 Dec 2024 11:12 |
| Last Modified: | 17 Dec 2024 11:12 |
| URI: | https://tesi.luiss.it/id/eprint/40654 |
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