Fine-tuning of llama for sentiment analysis using QLoRA method
Marcuzzi, Alessandro (A.A. 2024/2025) Fine-tuning of llama for sentiment analysis using QLoRA method. Tesi di Laurea in Machine learning in marketing, Luiss Guido Carli, relatore Luigi Laura, pp. 55. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Fine tuning of neural networks. Results and managerial relevance. State of the art. Framework used. Fine tuning of neural networks. Procedure and coding.
References
Bibliografia: pp. 54-55.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
| Chair: | Machine learning in marketing |
| Thesis Supervisor: | Laura, Luigi |
| Thesis Co-Supervisor: | Cardamone, Ernesto |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 29 May 2026 12:18 |
| Last Modified: | 29 May 2026 12:37 |
| URI: | https://tesi.luiss.it/id/eprint/45997 |
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